Daniel Rueckert

1141 papers A* 12A 15B 33C 1Journal 591Unranked 476
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Master Class on Reproducibility: A Student Hackathon on Advanced MRI Reconstruction Methods.
CoRR
Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel
2026 J jnl
Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery.
CoRR
Dennis N. Schneider, Lars Wagner, Daniel Rueckert, Dirk Wilhelm
2026 J jnl
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain.
IEEE Trans. Medical Imaging
Maik Dannecker, Vasiliki Sideri-Lampretsa, Sophie Starck, Angeline Mihailov, Mathieu Milh, Nadine Girard, Guillaume Auzias, Daniel Rueckert
2026 J jnl
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
Medical Image Anal.
Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2026 J jnl
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
IEEE Trans. Medical Imaging
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2026 J jnl
Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos.
CoRR
Michelle Espranita Liman, Özgün Turgut, Alexander Müller, Eimo Martens, Daniel Rueckert, Philip Müller
2026 J jnl
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide.
Trans. Assoc. Comput. Linguistics
Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer
2026 J jnl
From model based to learned regularization in medical image registration: A comprehensive review.
Medical Image Anal.
Anna Reithmeir, Veronika Spieker, Vasiliki Sideri-Lampretsa, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer
2026 J jnl
Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction.
CoRR
Wenqi Huang, Veronika Spieker, Nil Stolt Ansó, Natascha Niessen, Maik Dannecker, Sevgi Gokce Kafali, Sila Kurugol, Julia A. Schnabel, Daniel Rueckert
2026 J jnl
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions.
Pattern Recognit. Lett.
Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2026 J jnl
LGESynthNet: Controlled Scar Synthesis for Improved Scar Segmentation in Cardiac LGE-MRI Imaging.
CoRR
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
2026 — conf
Master Class on Reproducibility - A Student Hackathon on Advanced MRI Reconstruction Methods.
Bildverarbeitung für die Medizin
Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel
2026 J jnl
MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies.
CoRR
Weixiang Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Chengzhi Shen, Min Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan
2026 J jnl
Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data.
CoRR
Nikola Cenikj, Özgün Turgut, Alexander Müller, Alexander Steger, Jan Kehrer, Marcus Brugger, Daniel Rueckert, Eimo Martens, Philip Müller
2026 J jnl
No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space.
CoRR
Yundi Zhang, Sevgi Gokce Kafali, Niklas Bubeck, Daniel Rueckert, Jiazhen Pan
2026 J jnl
Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations.
CoRR
Busra Nur Zeybek, Özgün Turgut, Yundi Zhang, Jiazhen Pan, Robert Graf, Sophie Starck, Daniel Rueckert, Sevgi Gokce Kafali
2026 J jnl
PARASIDE: An automatic paranasal sinus segmentation and structure analysis tool for magnetic resonance imaging.
Comput. Biol. Medicine
Hendrik Kristian Möller, Lukas Krautschick, Robert Graf, Matan Atad, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke, Fabian Paperlein
2026 J jnl
PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI.
Medical Image Anal.
Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2026 J jnl
Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder.
CoRR
Adam Marcus, Paul Bentley, Daniel Rueckert
2026 J jnl
Survival In-Context: Prior-fitted In-context Learning Tabular Foundation Model for Survival Analysis.
CoRR
Dmitrii Seletkov, Paul Hager, Rickmer Braren, Daniel Rueckert, Raphael Rehms
2026 — conf
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models.
EACL (Volume 1: Long Papers)
Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert
2026 J jnl
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models.
CoRR
Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert
2026 J jnl
VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences.
CoRR
Hendrik Kristian Möller, Hanna Schön, Robert Graf, Matan Atad, Nathan Molinier, Anjany Sekuboyina, Bettina K. Budai, Fabian Bamberg, Steffen Ringhof, Christopher Schlett, Tobias Pischon, Thoralf Niendorf, Josua A. Decker, Marc-André Weber, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke
2026 J jnl
VariViT: A Vision Transformer for Variable Image Sizes.
CoRR
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler
2026 J jnl
WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images.
CoRR
Yunheng Wu, Wenqi Huang, Liangyi Wang, Masahiro Oda, Yuichiro Hayashi, Daniel Rueckert, Kensaku Mori
2025 — conf
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data.
MICCAI (1)
Tobias Susetzky, Huaqi Qiu, Rickmer Braren, Daniel Rueckert
2025 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
IEEE Trans. Medical Imaging
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 — conf
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA@MICCAI
Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 A* conf
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets.
CVPR
David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten
2025 J jnl
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets.
CoRR
David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten
2025 J jnl
AI-driven preclinical disease risk assessment using imaging in UK biobank.
npj Digit. Medicine
Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren
2025 — conf
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
SIPAIM
Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov
2025 J jnl
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
CoRR
Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov
2025 J jnl
Are foundation models useful feature extractors for electroencephalography analysis?
CoRR
Özgün Turgut, Felix S. Bott, Markus Ploner, Daniel Rueckert
2025 J jnl
Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging.
Comput. Medical Imaging Graph.
Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025 J jnl
Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort.
CoRR
Hendrik Kristian Möller, Hanna Schön, Alina Dima, Benjamin Keinert-Weth, Robert Graf, Matan Atad, Johannes C. Paetzold, Friederike Jungmann, Rickmer Braren, Florian Kofler, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
CoRR
Jiazhen Pan, Bailiang Jian, Paul Hager, Yundi Zhang, Che Liu, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.
CoRR
Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025 J jnl
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.
CoRR
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik Kristian Möller, Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, Bjoern H. Menze
2025 J jnl
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain.
CoRR
Maik Dannecker, Vasiliki Sideri-Lampretsa, Sophie Starck, Angeline Mihailov, Mathieu Milh, Nadine Girard, Guillaume Auzias, Daniel Rueckert
2025 J jnl
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
CoRR
Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2025 — conf
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
MICCAI (6)
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
CoRR
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
2025 A conf
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.
WACV
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025 J jnl
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment.
CoRR
Fabian Drexel, Vasiliki Sideri-Lampretsa, Henriette Bast, Alexander W. Marka, Thomas Koehler, Florian T. Gassert, Daniela Pfeiffer, Daniel Rueckert, Franz Pfeiffer
2025 J jnl
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies.
CoRR
Bailiang Jian, Jiazhen Pan, Rohit Jena, Morteza Ghahremani, Hongwei Bran Li, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2025 J jnl
Does DINOv3 Set a New Medical Vision Standard?
CoRR
Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
2025 — conf
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models.
Bildverarbeitung für die Medizin
Zeineb Haouari, Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models.
CoRR
Zeineb Haouari, Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
Efficient numeracy in language models through single-token number embeddings.
CoRR
Linus Kreitner, Paul Hager, Jonathan Mengedoht, Georgios Kaissis, Daniel Rueckert, Martin J. Menten
2025 J jnl
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database.
CoRR
Zi Wang, Mingkai Huang, Zhang Shi, Hongjie Hu, Lan Lan, Hui Zhang, Yan Li, Xi Hu, Qing Lu, Zongming Zhu, Qiong Yao, Yuxiang Dai, Fanwen Wang, Yinzhe Wu, Jun Lyu, Qianqian Gao, Guangming Xu, Zhenxuan Zhang, Haosen Zhang, Qing Li, Guangming Wang, Tianxing He, Lizhen Lan, Siyue Li, Le Xue, Mengting Sun, Yuntong Lyu, Junpu Hu, Jiayu Zhu, Rizwan Ahmad, Zhengyu Bu, Xianling Qian, Guanke Cai, Ruiyu Cao, Weirui Cai, Chang Xu, Yuyang Ren, Feidan Yu, Siying Ma, Ziqiang Xu, Xinran Chen, Sha Hua, Daniel Kim, Yajing Zhang, Chen Ouyang, Wenjia Bai, Jing Qin, Yucheng Yang, Daniel Rueckert, He Wang, Qian Tao, Claudia Prieto, Michael Markl, Alistair A. Young, Lianming Wu, Shuo Wang, Chen Qin, Mengsu Zeng, Xihong Hu, Haibo Xu, Xiaobo Qu, Hao Li, Guang Yang, Chengyan Wang
2025 J jnl
Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations.
CoRR
Johannes Moll, Markus M. Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem
2025 J jnl
Evaluation of Alignment-Regularity Characteristics in Deformable Image Registration.
CoRR
Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu
2025 — conf
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off.
BRIDGE/DeCaF@MICCAI
Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu
2025 J jnl
Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection.
CoRR
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
2025 J jnl
Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling.
CoRR
Maik Dannecker, Steven Jia, Nil Stolt Ansó, Nadine Girard, Guillaume Auzias, François Rousseau, Daniel Rueckert
2025 — conf
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging.
CDMRI@MICCAI
Jonas Weidner, Ivan Ezhov, Michal Balcerak, André Datchev, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
CoRR
Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment.
ShapeMI@MICCAI
Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink
2025 J jnl
GReAT: leveraging geometric artery data to improve wall shear stress assessment.
CoRR
Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink
2025 — conf
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG.
MICCAI (1)
Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rueckert
2025 J jnl
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks.
CoRR
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
2025 J jnl
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT.
CoRR
Matan Atad, Alexander W. Marka, Lisa Steinhelfer, Anna Curto-Vilalta, Yannik Leonhardt, Sarah C. Foreman, Anna-Sophia Dietrich, Robert Graf, Alexandra S. Gersing, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke, Hendrik Kristian Möller
2025 J jnl
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study.
CoRR
Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025 — conf
Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features.
PRIME@MICCAI
Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert
2025 J jnl
Improved Localized Machine Unlearning Through the Lens of Memorization.
Trans. Mach. Learn. Res.
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou
2025 J jnl
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations.
CoRR
Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Alaa E. Fayed, Sobha Sivaprasad, Linus Kreitner, Jonas Weidner, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification.
MedAGI
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
2025 A* conf
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR
Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis
2025 J jnl
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
CoRR
Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis
2025 J jnl
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
CoRR
Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan
2025 J jnl
LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening.
CoRR
Johannes Brandt, Maulik Chevli, Rickmer Braren, Georgios Kaissis, Philip Müller, Daniel Rueckert
2025 — conf
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
MICCAI (13)
Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke
2025 J jnl
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI.
CoRR
Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Klaus Berger, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke
2025 J jnl
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis.
CoRR
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 — conf
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis.
MICCAI (8)
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2025 — conf
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
MICCAI (7)
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 J jnl
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
CoRR
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 — conf
Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data.
LMID@MICCAI
Moritz Knolle, Martin J. Menten, Daniel Rueckert, Georgios Kaissis, Ben Glocker
2025 J jnl
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations.
CoRR
Maik Dannecker, Thomas Sanchez, Meritxell Bach Cuadra, Özgün Turgut, Anthony N. Price, Lucilio Cordero-Grande, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert
2025 J jnl
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
CoRR
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.
MLMI@MICCAI
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 J jnl
Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations.
CoRR
Marica Muffoletto, Uxio Hermida, Charlène Alice Mauger, Avan Suinesiaputra, Yiyang Xu, Richard Burns, Lisa R. Pankewitz, Andrew D. McCulloch, Steffen E. Petersen, Daniel Rueckert, Alistair A. Young
2025 J jnl
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc.
Comput. Biol. Medicine
Matan Atad, Gabriel Gruber, Marx Ribeiro, Luis Fernando Nicolini, Robert Graf, Hendrik Kristian Möller, Kati Nispel, Ivan Ezhov, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
On Arbitrary Predictions from Equally Valid Models.
CoRR
Sarah Lockfisch, Kristian Schwethelm, Martin J. Menten, Rickmer Braren, Daniel Rueckert, Alexander Ziller, Georgios Kaissis
2025 J jnl
On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines.
CoRR
Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell
2025 J jnl
Optimizing Rank for High-Fidelity Implicit Neural Representations.
CoRR
Julian McGinnis, Florian A. Hölzl, Suprosanna Shit, Florentin Bieder, Paul Friedrich, Mark Mühlau, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler
2025 J jnl
PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI.
CoRR
Hendrik Kristian Möller, Lukas Krautschick, Matan Atad, Robert Graf, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern H. Menze, Daniel Rueckert, Jan Kirschke, Fabian Schwitzing
2025 J jnl
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI.
CoRR
Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2025 — conf
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization.
ShapeMI@MICCAI
Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert
2025 J jnl
Parametric shape models for vessels learned from segmentations via differentiable voxelization.
CoRR
Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert
2025 — conf
Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging.
MICCAI (3)
Wenqi Huang, Nan Wang, Congyu Liao, Yimeng Lin, Mengze Gao, Daniel Rueckert, Kawin Setsompop
2025 — conf
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
PIPPI@MICCAI
Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Vladyslav Zalevskyi, Steven Jia, Jean-Baptiste Ledoux, Guillaume Auzias, François Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra
2025 J jnl
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
CoRR
Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Vladyslav Zalevskyi, Steven Jia, Jean-Baptiste Ledoux, Guillaume Auzias, François Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra
2025 — conf
Pitfalls of Topology-Aware Image Segmentation.
IPMI (1)
Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
Predicting Longitudinal Brain Development via Implicit Neural Representations.
MICCAI (11)
Maik Dannecker, Daniel Rueckert
2025 — conf
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
DGM4MICCAI@MICCAI
Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
CoRR
Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan
2025 — conf
Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging.
CMMCA@MICCAI
Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik, Charly Caredda, Luca Giannoni, Frédéric Lange, Laurin Lux, Jonas Weidner, Alexander H. Berger, Florian Kofler, Martin J. Menten, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert, Ivan Ezhov
2025 — conf
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
DT4H@MICCAI
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 J jnl
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
CoRR
Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2025 A* conf
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR
Simon Dahan, Gabriel Bénédict, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Claire Robinson
2025 J jnl
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
CoRR
Simon Dahan, Gabriel Bénédict, Logan Z. J. Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma C. Robinson
2025 J jnl
Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction.
IEEE Trans. Medical Imaging
Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025 — conf
Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI.
GRAIL/RIME@MICCAI
Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kübler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025 J jnl
Sensitivity, Specificity, and Consistency: A Tripartite Evaluation of Privacy Filters for Synthetic Data Generation.
CoRR
Adil Koeken, Alexander Ziller, Moritz Knolle, Daniel Rueckert
2025 J jnl
Specialized curricula for training vision language models in retinal image analysis.
npj Digit. Medicine
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau
2025 J jnl
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images.
CoRR
Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 — conf
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging.
IPMI (1)
Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
2025 J jnl
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction.
Medical Image Anal.
Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2025 J jnl
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.
CoRR
Bailiang Jian, Jiazhen Pan, Yitong Li, Fabian Bongratz, Ruochen Li, Daniel Rueckert, Benedikt Wiestler, Christian Wachinger
2025 A* conf
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2025 J jnl
Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic.
IEEE Trans. Medical Imaging
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025 J jnl
Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic.
CoRR
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025 J jnl
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond.
CoRR
Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond.
Medical Image Anal.
Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.
Medical Image Anal.
Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2025 J jnl
Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR).
CoRR
Tobias Rueckert, Raphaela Maerkl, David Rauber, Leonard Klausmann, Max Gutbrod, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2025 J jnl
Visual Privacy Auditing with Diffusion Models.
Trans. Mach. Learn. Res.
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Sarah Lockfisch, Daniel Rueckert, Alexander Ziller
2025 J jnl
Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling.
IEEE Trans. Medical Imaging
Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2025 — conf
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment.
AMAI@MICCAI
Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren
2025 J jnl
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment.
CoRR
Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren
2024 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN.
MOVI@MICCAI
Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori
2024 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2024 J jnl
A Practical Guide to Fine-tuning Language Models with Limited Data.
CoRR
Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer
2024 J jnl
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations.
Trans. Mach. Learn. Res.
Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
2024 J jnl
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.
Int. J. Comput. Assist. Radiol. Surg.
Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori
2024 J jnl
Are Population Graphs Really as Powerful as Believed?
Trans. Mach. Learn. Res.
Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
2024 J jnl
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging.
CoRR
Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 J jnl
Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.
IEEE Trans. Medical Imaging
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 J jnl
Attention-aware non-rigid image registration for accelerated MR imaging.
CoRR
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 A* conf
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
ICML
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
2024 J jnl
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
CoRR
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
2024 J jnl
Bounding Reconstruction Attack Success of Adversaries Without Data Priors.
CoRR
Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
2024 J jnl
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.
IEEE Trans. Medical Imaging
Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai
2024 — conf
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
MICCAI (9)
Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2024 J jnl
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
CoRR
Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2024 — conf
CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data.
MOVI@MICCAI
Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori
2024 — conf
ChEX: Interactive Localization and Region Description in Chest X-Rays.
ECCV (21)
Philip Müller, Georgios Kaissis, Daniel Rueckert
2024 J jnl
ChEX: Interactive Localization and Region Description in Chest X-rays.
CoRR
Philip Müller, Georgios Kaissis, Daniel Rueckert
2024 — conf
Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI.
MLMI@MICCAI (1)
Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
2024 J jnl
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI.
CoRR
Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
2024 — conf
Complex-Valued Federated Learning with Differential Privacy and MRI Applications.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Anneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis
2024 J jnl
Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929].
Comput. Biol. Medicine
Tobias Rueckert, Daniel Rueckert, Christoph Palm
2024 J jnl
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.
CoRR
Matan Atad, David Schinz, Hendrik Kristian Möller, Robert Graf, Benedikt Wiestler, Daniel Rueckert, Nassir Navab, Jan S. Kirschke, Matthias Keicher
2024 J jnl
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers.
CoRR
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI.
CoRR
Denis Prokopenko, David F. A. Lloyd, Amedeo Chiribiri, Daniel Rueckert, Joseph V. Hajnal
2024 — conf
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation.
ISBI
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
2024 J jnl
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation.
CoRR
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
2024 J jnl
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review.
IEEE Trans. Medical Imaging
Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
2024 J jnl
Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT.
npj Digit. Medicine
Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley
2024 J jnl
Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4).
CoRR
Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten
2024 J jnl
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.
IEEE Trans. Medical Imaging
Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert
2024 — conf
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Möller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data.
CoRR
Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Möller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Detecting and clustering swallow events in esophageal long-term high-resolution manometry.
CoRR
Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell
2024 J jnl
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
CoRR
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2024 J jnl
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy.
CoRR
Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rueckert, Georgios Kaissis
2024 — conf
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure.
ISBI
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2024 J jnl
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results.
J. Priv. Confidentiality
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2024 — conf
Diffusion Models with Implicit Guidance for Medical Anomaly Detection.
MICCAI (11)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024 J jnl
Diffusion Models with Implicit Guidance for Medical Anomaly Detection.
CoRR
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024 — conf
Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images.
MICCAI (1)
Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
2024 J jnl
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images.
CoRR
Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
2024 — conf
Direct Cardiac Segmentation from Undersampled K-Space using Transformers.
ISBI
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024 J jnl
Direct Cardiac Segmentation from Undersampled K-space Using Transformers.
CoRR
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024 J jnl
Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model.
CoRR
Matan Atad, Gabriel Gruber, Marx Ribeiro, Luis Fernando Nicolini, Robert Graf, Hendrik Kristian Möller, Kati Nispel, Ivan Ezhov, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Editorial.
IEEE Trans. Medical Imaging
Dong Liang, Daniel Rueckert, Ge Wang, Tolga Çukur, Hengyong Yu
2024 — conf
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans.
MICCAI (7)
Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024 J jnl
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans.
CoRR
Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024 J jnl
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings.
CoRR
Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller
2024 — conf
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology.
GRAIL@MICCAI
Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 — conf
Fair and Private CT Contrast Agent Detection.
FAIMI/EPIMI@MICCAI
Philipp Kaess, Alexander Ziller, Lea Mantz, Daniel Rueckert, Florian J. Fintelmann, Georgios Kaissis
2024 J jnl
Federated learning is not a cure-all for data ethics.
Nat. Mac. Intell.
Marieke A. R. Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan
2024 — conf
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
MICCAI (5)
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
CoRR
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review.
CoRR
Anna Reithmeir, Veronika Spieker, Vasiliki Sideri-Lampretsa, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer
2024 — conf
General Vision Encoder Features as Guidance in Medical Image Registration.
WBIR
Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer
2024 J jnl
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging.
CoRR
Aya Ghoul, Kerstin Hammernik, Andreas Lingg, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 J jnl
Image registration is a geometric deep learning task.
CoRR
Vasiliki Sideri-Lampretsa, Nil Stolt Ansó, Martin J. Menten, Huaqi Qiu, Julian McGinnis, Daniel Rueckert
2024 — conf
Imbalance-aware loss functions improve medical image classification.
MIDL
Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
2024 J jnl
Improved Localized Machine Unlearning Through the Lens of Memorization.
CoRR
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou
2024 — conf
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training.
EICC
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2024 — conf
Intensity-Based 3D Motion Correction for Cardiac MR Images.
ISBI
Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert
2024 J jnl
Intensity-based 3D motion correction for cardiac MR images.
CoRR
Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert
2024 J jnl
Kernel Normalized Convolutional Networks.
Trans. Mach. Learn. Res.
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis
2024 — conf
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024 J jnl
Learning Visual Prompts for Guiding the Attention of Vision Transformers.
CoRR
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip Torr, Ashkan Khakzar
2024 A conf
Link Prediction for Flow-Driven Spatial Networks.
WACV
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2024 J jnl
Machine Unlearning for Medical Imaging.
CoRR
Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios Kaissis
2024 — conf
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
WBIR
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2024 J jnl
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
CoRR
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2024 J jnl
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
Medical Image Anal.
Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2024 J jnl
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art.
Comput. Biol. Medicine
Tobias Rueckert, Daniel Rueckert, Christoph Palm
2024 — conf
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
MIDL
Robert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke
2024 — conf
More is Not Always Better: Exploring Early Repair of DNNs.
DeepTest@ICSE
Andrei Mancu, Thomas Laurent, Franz Rieger, Paolo Arcaini, Fuyuki Ishikawa, Daniel Rueckert
2024 J jnl
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes.
IEEE Trans. Medical Imaging
Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation.
IEEE Trans. Medical Imaging
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2024 J jnl
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation.
CoRR
Robert Mendel, Tobias Rueckert, Dirk Wilhelm, Daniel Rueckert, Christoph Palm
2024 J jnl
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection.
CoRR
Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
2024 — conf
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction.
MICCAI (3)
Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert
2024 — conf
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging.
Bildverarbeitung für die Medizin
Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik
2024 J jnl
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions.
CoRR
Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert
2024 J jnl
Pitfalls of topology-aware image segmentation.
CoRR
Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Reconciling privacy and accuracy in AI for medical imaging.
Nat. Mac. Intell.
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2024 — conf
SINR: Spline-enhanced implicit neural representation for multi-modal registration.
MIDL
Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert
2024 J jnl
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR
Hendrik Kristian Möller, Robert Graf, Joachim Schmitt, Benjamin Keinert, Matan Atad, Anjany Sekuboyina, Felix Streckenbach, Hanna Schön, Florian Kofler, Thomas Kröncke, Stefanie Bette, Stefan Willich, Thomas Keil, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke
2024 J jnl
Self-Supervised Radiograph Anatomical Region Classification - How Clean Is Your Real-World Data?
CoRR
Simon Langer, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Paul Hager
2024 — conf
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations.
MICCAI (7)
Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
2024 J jnl
Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine.
Frontiers Digit. Health
Eimo Martens, Hans-Ulrich Haase, Giulio Mastella, Andreas Henkel, Christoph Spinner, Franziska Hahn, Congyu Zou, Augusto Fava-Sanches, Julia Allescher, Daniel Heid, Elena Strauss, Melanie-Maria Maier, Mark Lachmann, Georg Schmidt, Dominik Westphal, Tobias Haufe, David Federle, Daniel Rueckert, Martin Boeker, Matthias Becker, Karl-Ludwig Laugwitz, Alexander Steger, Alexander Müller
2024 — conf
Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information.
Bildverarbeitung für die Medizin
Tobias Rueckert, Maximilian Rieder, Hubertus Feussner, Dirk Wilhelm, Daniel Rueckert, Christoph Palm
2024 — conf
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders.
MIDL
Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson
2024 — conf
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.
MICCAI (11)
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024 J jnl
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.
CoRR
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024 J jnl
Specialist vision-language models for clinical ophthalmology.
CoRR
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
2024 J jnl
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging.
CoRR
Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Kustner, Daniel Rueckert
2024 — conf
Supervised Contrastive Learning for Image-to-Graph Transformers.
GRAIL@MICCAI
Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Trans. Medical Imaging
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
2024 — conf
The Multiscale Surface Vision Transformer.
MIDL
Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson
2024 J jnl
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
CoRR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 — conf
Topologically Faithful Multi-class Segmentation in Medical Images.
MICCAI (8)
Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
Topologically faithful multi-class segmentation in medical images.
CoRR
Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.
CoRR
Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke
2024 J jnl
Towards Generalisable Time Series Understanding Across Domains.
CoRR
Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert
2024 J jnl
Towards Universal Unsupervised Anomaly Detection in Medical Imaging.
CoRR
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024 J jnl
Towards a vision foundation model for comprehensive assessment of Cardiac MRI.
CoRR
Athira J. Jacob, Indraneel Borgohain, Teodora Chitiboi, Puneet Sharma, Dorin Comaniciu, Daniel Rueckert
2024 J jnl
Transformer models in biomedicine.
BMC Medical Informatics Decis. Mak.
Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich
2024 — conf
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
MICCAI (9)
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024 J jnl
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
CoRR
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024 J jnl
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI.
Medical Image Anal.
Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
2024 J jnl
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders.
CoRR
Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024 J jnl
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art.
IEEE Trans. Medical Imaging
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2024 — conf
VariViT: A Vision Transformer for Variable Image Sizes.
MIDL
Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler
2024 J jnl
Visual Privacy Auditing with Diffusion Models.
CoRR
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller
2024 — conf
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations.
MICCAI (11)
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2024 J jnl
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling.
CoRR
Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2024 — conf
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.
MICCAI (1)
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
2024 J jnl
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.
CoRR
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
2023 J jnl
(Predictable) Performance Bias in Unsupervised Anomaly Detection.
CoRR
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2023 — conf
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
MICCAI (1)
Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus M. Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert
2023 J jnl
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
CoRR
Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus M. Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert
2023 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
GRAIL/OCELOT@MICCAI
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 J jnl
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
CoRR
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 A* conf
A skeletonization algorithm for gradient-based optimization.
ICCV
Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert
2023 J jnl
A skeletonization algorithm for gradient-based optimization.
CoRR
Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert
2023 — conf
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
BraTS/CrossMoDA@MICCAI
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 J jnl
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
CoRR
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
2023 — conf
Anatomy-Driven Pathology Detection on Chest X-rays.
MICCAI (1)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Anatomy-Driven Pathology Detection on Chest X-rays.
CoRR
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
2023 — conf
Approaching Peak Ground Truth.
ISBI
Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
2023 J jnl
Approaching Peak Ground Truth.
CoRR
Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
2023 J jnl
Atlas-Based Interpretable Age Prediction.
CoRR
Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller
2023 J jnl
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR
Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
2023 A* conf
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data.
CVPR
Paul Hager, Martin J. Menten, Daniel Rueckert
2023 J jnl
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data.
CoRR
Paul Hager, Martin J. Menten, Daniel Rueckert
2023 J jnl
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.
ACM Trans. Priv. Secur.
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 — conf
Bias in Unsupervised Anomaly Detection in Brain MRI.
CLIP/FAIMI/EPIMI@MICCAI
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023 J jnl
Bias in Unsupervised Anomaly Detection in Brain MRI.
CoRR
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023 J jnl
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD.
CoRR
Moritz Knolle, Robert Dorfman, Alexander Ziller, Daniel Rueckert, Georgios Kaissis
2023 — conf
Body Fat Estimation from Surface Meshes Using Graph Neural Networks.
ShapeMI@MICCAI
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Body Fat Estimation from Surface Meshes using Graph Neural Networks.
CoRR
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy.
CoRR
Georgios Kaissis, Jamie Hayes, Alexander Ziller, Daniel Rueckert
2023 J jnl
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.
CoRR
Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai
2023 J jnl
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2023 — conf
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
MICCAI (7)
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023 J jnl
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023 J jnl
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network.
IEEE Trans. Medical Imaging
Adam Marcus, Paul Bentley, Daniel Rueckert
2023 J jnl
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network.
CoRR
Adam Marcus, Paul Bentley, Daniel Rueckert
2023 — conf
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
MICCAI (4)
Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2023 J jnl
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.
IEEE Trans. Medical Imaging
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2023 J jnl
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review.
CoRR
Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
2023 J jnl
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning.
CoRR
Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert
2023 J jnl
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR
Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern H. Menze, Daniel Rueckert, Jan Stefan Kirschke
2023 J jnl
Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.
CoRR
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
2023 — ch.
Diagnosis.
AI and Big Data in Cardiology
Daniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis
2023 J jnl
Differentially Private Graph Neural Networks for Whole-Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 — conf
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases.
MICCAI (8)
Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer
2023 J jnl
Equivariant Differentially Private Deep Learning.
CoRR
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
2023 — conf
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models.
AISec@CCS
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Explainable 2D Vision Models for 3D Medical Data.
CoRR
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023 — conf
Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients.
ISBI
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
2023 J jnl
Extended Graph Assessment Metrics for Graph Neural Networks.
CoRR
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
2023 — conf
Extended Graph Assessment Metrics for Regression and Weighted Graphs.
GRAIL/OCELOT@MICCAI
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
2023 J jnl
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
2023 J jnl
Fast fetal head compounding from multi-view 3D ultrasound.
Medical Image Anal.
Robert Wright, Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel
2023 — conf
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening.
MIDL
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023 J jnl
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.
Medical Image Anal.
Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
2023 — conf
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
MICCAI (10)
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023 J jnl
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling.
CoRR
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023 — conf
Gradient Self-alignment in Private Deep Learning.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
2023 J jnl
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection.
CoRR
Felix Meissen, Johannes Getzner, Alexander Ziller, Georgios Kaissis, Daniel Rueckert
2023 A* conf
Interactive and Explainable Region-guided Radiology Report Generation.
CVPR
Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Interactive and Explainable Region-guided Radiology Report Generation.
CoRR
Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023 — conf
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning.
SaTML
Reza Nasirigerdeh, Javad Torkzadehmahani, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy.
Trans. Mach. Learn. Res.
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Leveraging gradient-derived metrics for data selection and valuation in differentially private training.
CoRR
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Link Prediction for Flow-Driven Spatial Networks.
CoRR
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
2023 — conf
MAD: Modality Agnostic Distance Measure for Image Registration.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert
2023 J jnl
MAD: Modality Agnostic Distance Measure for Image Registration.
CoRR
Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models.
CoRR
Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel
2023 J jnl
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art.
CoRR
Tobias Rueckert, Daniel Rueckert, Christoph Palm
2023 — conf
Metrics to Quantify Global Consistency in Synthetic Medical Images.
DGM4MICCAI
Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
2023 J jnl
Metrics to Quantify Global Consistency in Synthetic Medical Images.
CoRR
Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
2023 J jnl
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR
Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR
Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler
2023 — conf
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning.
MICCAI (8)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
2023 J jnl
Multimodal brain age estimation using interpretable adaptive population-graph learning.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert
2023 — conf
NISF: Neural Implicit Segmentation Functions.
MICCAI (4)
Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
2023 — conf
Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views.
STACOM@MICCAI
Marica Muffoletto, Hao Xu, Yiyang Xu, Steven E. Williams, Michelle C. Williams, Karl P. Kunze, Radhouène Neji, Steven A. Niederer, Daniel Rueckert, Alistair A. Young
2023 — conf
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging.
IPMI
Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik
2023 A* conf
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning.
NeurIPS
Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert
2023 J jnl
Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps.
CoRR
Florian Kofler, Hendrik Kristian Möller, Josef A. Buchner, Ezequiel de la Rosa, Ivan Ezhov, Marcel Rosier, Isra Mekki, Suprosanna Shit, Moritz Negwer, Rami Al-Maskari, Ali Ertürk, Shankeeth Vinayahalingam, Fabian Isensee, Sarthak Pati, Daniel Rueckert, Jan S. Kirschke, Stefan K. Ehrlich, Annika Reinke, Bjoern H. Menze, Benedikt Wiestler, Marie Piraud
2023 J jnl
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
CoRR
Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen
2023 — conf
Physics-Aware Motion Simulation For T2*-Weighted Brain MRI.
SASHIMI@MICCAI
Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel
2023 J jnl
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag.
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2023 — conf
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
IPMI
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
2023 J jnl
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
CoRR
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
2023 J jnl
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal.
Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel
2023 J jnl
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.
CoRR
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
OMIA@MICCAI
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
BrainLes/SWITCH@MICCAI
Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Daniel Rueckert, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Bjoern H. Menze, Florian Kofler
2023 J jnl
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
CoRR
Diana Waldmannstetter, Florian Kofler, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Daniel Rueckert, Jan S. Kirschke, Marie Piraud, Bjoern H. Menze
2023 J jnl
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
CoRR
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
2023 — conf
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines.
UNSURE@MICCAI
Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023 J jnl
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines.
CoRR
Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
2023 J jnl
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging.
CoRR
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging.
CoRR
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2023 — conf
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection.
MICCAI (5)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023 J jnl
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection.
CoRR
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023 — conf
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images.
MIDL
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images.
CoRR
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
2023 — conf
Robust Segmentation via Topology Violation Detection and Feature Synthesis.
MICCAI (4)
Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2023 — conf
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
MICCAI (8)
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
CoRR
Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze
2023 — conf
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
MICCAI (8)
Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler
2023 — conf
Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder.
MLCN@MICCAI
Adam Marcus, Paul Bentley, Daniel Rueckert
2023 J jnl
Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data.
CoRR
Simon Dahan, Mariana da Silva, Daniel Rueckert, Emma C. Robinson
2023 — conf
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer.
STACOM@MICCAI
Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin
2023 J jnl
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
2023 — conf
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning.
PIPPI@MICCAI
Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
2023 J jnl
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning.
CoRR
Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
2023 J jnl
The Multiscale Surface Vision Transformer.
CoRR
Simon Dahan, Abdulah Fawaz, Mohamed A. Suliman, Mariana da Silva, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson
2023 — conf
Towards Generalised Neural Implicit Representations for Image Registration.
DGM4MICCAI
Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel
2023 J jnl
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI.
CoRR
Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
2023 J jnl
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art.
CoRR
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
2023 — conf
Utility-preserving Federated Learning.
AISec@CCS
Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
2023 — conf
What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection.
MICCAI (5)
Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
2022 J jnl
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR
Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
A Review of Causality for Learning Algorithms in Medical Image Analysis.
CoRR
Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2022 J jnl
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis.
Proc. IEEE
Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang
2022 J jnl
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance.
CoRR
Chen Qin, Daniel Rueckert
2022 J jnl
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine
Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2022 J jnl
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation.
CoRR
Felix Meissen, Georgios Kaissis, Daniel Rueckert
2022 — conf
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias.
MIDOG/DRAC@MICCAI
Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten
2022 J jnl
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias.
CoRR
Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten
2022 J jnl
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.
CoRR
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2022 — ed.
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings
WBIR
Alessa Hering, Julia A. Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias P. Heinrich, Daniel Rueckert
2022 J jnl
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis.
CoRR
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
2022 J jnl
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
CoRR
Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2022 — conf
Can Collaborative Learning Be Private, Robust and Scalable?
DeCaF/FAIR@MICCAI
Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Can collaborative learning be private, robust and scalable?
CoRR
Dmitrii Usynin, Helena Klause, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal.
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2022 — conf
Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation.
STACOM@MICCAI
Marica Muffoletto, Hao Xu, Hugo Barbaroux, Karl P. Kunze, Radhouène Neji, René M. Botnar, Claudia Prieto, Daniel Rueckert, Alistair A. Young
2022 — conf
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network.
MLCN@MICCAI
Adam Marcus, Paul Bentley, Daniel Rueckert
2022 J jnl
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.
CoRR
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2022 J jnl
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR
Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang
2022 J jnl
Differentially Private Graph Classification with GNNs.
CoRR
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Differentially private training of residual networks with scale normalisation.
CoRR
Helena Klause, Alexander Ziller, Daniel Rueckert, Kerstin Hammernik, Georgios Kaissis
2022 — conf
Embedding Gradient-Based Optimization in Image Registration Networks.
MICCAI (6)
Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert
2022 J jnl
Enhancing MR image segmentation with realistic adversarial data augmentation.
Medical Image Anal.
Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2022 J jnl
Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients.
CoRR
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
2022 — conf
Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction.
MIUA
Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin
2022 J jnl
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction.
CoRR
Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin
2022 J jnl
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR
Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni
2022 J jnl
Federated disentangled representation learning for unsupervised brain anomaly detection.
Nat. Mach. Intell.
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2022 — conf
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
EPIMI/ML-CDS@MICCAI
Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary
2022 J jnl
Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens.
CoRR
Georgios Kaissis, Alexander Ziller, Stefan Kolek Martinez de Azagra, Daniel Rueckert
2022 — conf
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data.
STACOM@MICCAI
Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai
2022 J jnl
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data.
CoRR
Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai
2022 J jnl
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior.
CoRR
Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
2022 J jnl
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
CoRR
Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
2022 — conf
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.
UNSURE@MICCAI
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022 J jnl
Improved post-hoc probability calibration for out-of-domain MRI segmentation.
CoRR
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022 — conf
Joint Learning of Localized Representations from Medical Images and Reports.
ECCV (26)
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2022 J jnl
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning.
CoRR
Reza Nasirigerdeh, Javad Torkzadehmahani, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Kernel Normalized Convolutional Networks.
CoRR
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy.
CoRR
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging
Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan
2022 — conf
Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging.
MICCAI (6)
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022 J jnl
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging.
CoRR
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022 — conf
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data.
PRIME@MICCAI
Moritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer
2022 — conf
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
MICCAI (5)
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022 J jnl
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
CoRR
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022 — conf
Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning.
MICCAI (6)
Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert
2022 J jnl
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning.
CoRR
Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert
2022 J jnl
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
CoRR
Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2022 J jnl
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.
IEEE Trans. Medical Imaging
Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
2022 J jnl
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI.
CoRR
Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
2022 — conf
Multi-Modal Unsupervised Brain Image Registration Using Edge Maps.
ISBI
Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Multi-modal unsupervised brain image registration using edge maps.
CoRR
Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.
CoRR
Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik
2022 — conf
On the Pitfalls of Using the Residual Error as Anomaly Score.
MIDL
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert
2022 J jnl
On the Pitfalls of Using the Residual Error as Anomaly Score.
CoRR
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging.
CoRR
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2022 — conf
Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs.
MICCAI (8)
Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert
2022 J jnl
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs.
CoRR
Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert
2022 J jnl
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View.
CoRR
Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel
2022 J jnl
Predicting age and clinical risk from the neonatal connectome.
NeuroImage
Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, Oliver Gale-Grant, Andreas Schuh, Maximilian Pietsch, Andrew Chew, Nicholas Harper, Shona Falconer, Tanya Poppe, Emer J. Hughes, Jana Hutter, Anthony N. Price, Jacques-Donald Tournier, Lucilio Cordero-Grande, Serena J. Counsell, Daniel Rueckert, Tomoki Arichi, Joseph V. Hajnal, A. David Edwards, Maria Deprez, Dafnis Batalle
2022 J jnl
Privacy: An Axiomatic Approach.
Entropy
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Privacy: An axiomatic approach.
CoRR
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2022 — conf
Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays.
MICCAI (5)
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2022 — conf
Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal.
STACOM@MICCAI
Michael Tänzer, Sea Hee Yook, Pedro F. Ferreira, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin
2022 J jnl
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal.
CoRR
Michael Tänzer, Sea Hee Yook, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin
2022 J jnl
Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2022 J jnl
SmoothNets: Optimizing CNN architecture design for differentially private deep learning.
CoRR
Nicolas W. Remerscheid, Alexander Ziller, Daniel Rueckert, Georgios Kaissis
2022 J jnl
SoK: Differential Privacy on Graph-Structured Data.
CoRR
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Surface Analysis with Vision Transformers.
CoRR
Simon Dahan, Logan Z. J. Williams, Abdulah Fawaz, Daniel Rueckert, Emma C. Robinson
2022 — conf
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis.
MIDL
Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson
2022 J jnl
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis.
CoRR
Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson
2022 J jnl
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces.
CoRR
Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson
2022 J jnl
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images.
CoRR
Philip Müller, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.
J. Priv. Confidentiality
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
2022 — conf
Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
BrainLes@MICCAI
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
CoRR
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
2022 J jnl
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net.
IEEE Trans. Image Process.
Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2022 J jnl
What do we learn? Debunking the Myth of Unsupervised Outlier Detection.
CoRR
Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
2022 J jnl
Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning.
Proc. Priv. Enhancing Technol.
Dmitrii Usynin, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis
2021 J jnl
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2021 J jnl
A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index.
CoRR
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
2021 J jnl
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis.
CoRR
Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang
2021 J jnl
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Nat. Mach. Intell.
Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach
2021 J jnl
An automatic differentiation system for the age of differential privacy.
CoRR
Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
2021 — conf
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation.
MIDOG/MOOD/Learn2Reg@MICCAI
Felix Meissen, Georgios Kaissis, Daniel Rueckert
2021 J jnl
Automated Knee X-ray Report Generation.
CoRR
Aydan Gasimova, Giovanni Montana, Daniel Rueckert
2021 A conf
Bias Field Robustness Verification of Large Neural Image Classifiers.
BMVC
Patrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio
2021 — conf
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
UNSURE/PIPPI@MICCAI
Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2021 J jnl
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation.
CoRR
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2021 — conf
Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI.
BrainLes@MICCAI (1)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
2021 — ed.
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
CLIP/DCL/LL-COVID19/PPML@MICCAI
Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
2021 J jnl
Complex-valued deep learning with differential privacy.
CoRR
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kerstin Hammernik, Daniel Rueckert, Georgios Kaissis
2021 — conf
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
MICCAI (3)
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021 J jnl
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
CoRR
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021 — conf
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography.
ISBI
Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert
2021 — conf
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization.
DGM4MICCAI/DALI@MICCAI
Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert
2021 J jnl
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization.
CoRR
Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert
2021 — conf
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
MICCAI (7)
Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021 J jnl
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps.
CoRR
Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021 — conf
Detecting Outliers with Poisson Image Interpolation.
MICCAI (5)
Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021 J jnl
Detecting Outliers with Poisson Image Interpolation.
CoRR
Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021 J jnl
Differentially private federated deep learning for multi-site medical image segmentation.
CoRR
Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty.
CoRR
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Distributed Machine Learning and the Semblance of Trust.
CoRR
Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis
2021 — conf
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis.
ISBI
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
2021 — conf
Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation.
MLMIR@MICCAI
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2021 J jnl
End-to-end privacy preserving deep learning on multi-institutional medical imaging.
Nat. Mach. Intell.
Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
2021 J jnl
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
CoRR
Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2021 — conf
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
MLMIR@MICCAI
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
2021 J jnl
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation.
CoRR
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2021 J jnl
FedRAD: Federated Robust Adaptive Distillation.
CoRR
Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2021 J jnl
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine
Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2021 J jnl
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR
Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert
2021 J jnl
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning.
CoRR
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis
2021 — conf
Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.
MLCN@MICCAI
Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson
2021 J jnl
Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.
CoRR
Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson
2021 J jnl
Joint Learning of Localized Representations from Medical Images and Reports.
CoRR
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert
2021 — conf
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
MICCAI (3)
Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
2021 J jnl
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
CoRR
Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
2021 J jnl
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.
CoRR
Nicoló Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O'Regan
2021 — conf
Learning Diffeomorphic and Modality-invariant Registration using B-splines.
MIDL
Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert
2021 J jnl
Learning a Model-Driven Variational Network for Deformable Image Registration.
CoRR
Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan
2021 — conf
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction.
ACSCC
Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Küstner
2021 — conf
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis.
FIMH
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
2021 J jnl
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging
Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz
2021 J jnl
Partial sensitivity analysis in differential privacy.
CoRR
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Personalized Federated Deep Learning for Pain Estimation From Face Images.
CoRR
Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn W. Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard
2021 — conf
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.
MLCN@MICCAI
Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2021 J jnl
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage
Ralica Dimitrova, Maximilian Pietsch, Judit Ciarrusta, Sean P. Fitzgibbon, Logan Z. J. Williams, Daan Christiaens, Lucilio Cordero-Grande, Dafnis Batalle, Antonios Makropoulos, Andreas Schuh, Anthony N. Price, Jana Hutter, Rui Pedro A. G. Teixeira, Emer J. Hughes, Andrew Chew, Shona Falconer, Olivia Carney, Alexia Egloff, Jacques-Donald Tournier, Grainne M. McAlonan, Mary A. Rutherford, Serena J. Counsell, Emma C. Robinson, Joseph V. Hajnal, Daniel Rueckert, A. David Edwards, Jonathan O'Muircheartaigh
2021 — conf
Reducing Textural Bias Improves Robustness of Deep Segmentation Models.
MIUA
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
2021 — conf
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging.
MLMI@MICCAI
Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren
2021 J jnl
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation.
CoRR
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
2021 — conf
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation.
DART/FAIR@MICCAI
Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker
2021 J jnl
Transductive image segmentation: Self-training and effect of uncertainty estimation.
CoRR
Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker
2021 J jnl
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.
CoRR
Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2021 — conf
Voxel-Level Importance Maps for Interpretable Brain Age Estimation.
iMIMIC/TDA4MedicalData@MICCAI
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2021 J jnl
Voxel-level Importance Maps for Interpretable Brain Age Estimation.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2020 J jnl
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments.
CoRR
Harry Cai, Daniel Rueckert, Jonathan Passerat-Palmbach
2020 — conf
3D Probabilistic Segmentation and Volumetry from 2D Projection Images.
TIA@MICCAI
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020 J jnl
3D Probabilistic Segmentation and Volumetry from 2D projection images.
CoRR
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020 J jnl
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
2020 — conf
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification.
PPMLP@CCS
Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
2020 J jnl
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification.
CoRR
Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
2020 — conf
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
MIDL
Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert
2020 J jnl
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 — conf
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.
ASMUS/PIPPI@MICCAI
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz
2020 J jnl
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.
CoRR
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz
2020 — conf
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.
MICCAI (3)
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2020 J jnl
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI.
CoRR
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2020 J jnl
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.
CoRR
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2020 J jnl
Causal Future Prediction in a Minkowski Space-Time.
CoRR
Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz
2020 — conf
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images.
MLCN/RNO-AI@MICCAI
Guy Leroy, Daniel Rueckert, Amir Alansary
2020 J jnl
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images.
CoRR
Guy Leroy, Daniel Rueckert, Amir Alansary
2020 — conf
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography.
ISVC (2)
Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo
2020 J jnl
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography.
CoRR
Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo
2020 — conf
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.
MICCAI (4)
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020 J jnl
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation.
CoRR
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020 J jnl
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.
CoRR
Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2020 — conf
Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
APSIPA
Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis
2020 J jnl
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction.
CoRR
Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
2020 J jnl
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2020 — conf
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
UNSURE/GRAIL@MICCAI
Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary
2020 J jnl
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface.
CoRR
Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary
2020 — conf
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.
MIUA
Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble
2020 — conf
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
MICCAI (7)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
2020 J jnl
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks.
CoRR
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
2020 — conf
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.
MICCAI (1)
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020 J jnl
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.
CoRR
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020 J jnl
Learning Cross-domain Generalizable Features by Representation Disentanglement.
CoRR
Qingjie Meng, Daniel Rueckert, Bernhard Kainz
2020 J jnl
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
Comput. Medical Imaging Graph.
Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura
2020 J jnl
Model-Based and Data-Driven Strategies in Medical Image Computing.
Proc. IEEE
Daniel Rueckert, Julia A. Schnabel
2020 — conf
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions.
M&Ms and EMIDEC/STACOM@MICCAI
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
2020 J jnl
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
CoRR
Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz
2020 — conf
Patch-Based Brain Age Estimation from MR Images.
MLCN/RNO-AI@MICCAI
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
2020 J jnl
Patch-based Brain Age Estimation from MR Images.
CoRR
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
2020 J jnl
Privacy-preserving medical image analysis.
CoRR
Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
2020 — conf
Realistic Adversarial Data Augmentation for MR Image Segmentation.
MICCAI (1)
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020 J jnl
Realistic Adversarial Data Augmentation for MR Image Segmentation.
CoRR
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020 J jnl
Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs.
CoRR
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
2020 J jnl
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation.
CoRR
Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2020 J jnl
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare.
CoRR
Matei Grama, Maria Musat, Luis Muñoz-González, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2020 J jnl
Secure, privacy-preserving and federated machine learning in medical imaging.
Nat. Mach. Intell.
Georgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
2020 J jnl
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation.
CoRR
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2020 — conf
Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.
ECCV (29)
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2020 — conf
Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation.
MICCAI (7)
Aydan Gasimova, Gavin Seegoolam, Liang Chen, Paul Bentley, Daniel Rueckert
2020 — conf
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain.
MIDL
Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert
2020 — conf
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations.
MIUA
Jack Weatheritt, Daniel Rueckert, Robin Wolz
2020 — conf
Ultrasound Video Summarization Using Deep Reinforcement Learning.
MICCAI (3)
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2020 J jnl
Ultrasound Video Summarization using Deep Reinforcement Learning.
CoRR
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2020 — conf
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment.
ASMUS/PIPPI@MICCAI
Qingjie Meng, Daniel Rueckert, Bernhard Kainz
2020 J jnl
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment.
CoRR
Qingjie Meng, Daniel Rueckert, Bernhard Kainz
2019 — conf
3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
ISBI
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019 J jnl
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders.
CoRR
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019 J jnl
Age-related craniofacial differences based on spatio-temporal face image atlases.
IET Image Process.
Igor R. R. Xavier, Gilson A. Giraldi, Stuart James Gibson, Gilka J. F. Gattas, Daniel Rueckert, Carlos E. Thomaz
2019 — conf
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
STACOM@MICCAI
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019 J jnl
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
CoRR
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019 J jnl
Attention gated networks: Learning to leverage salient regions in medical images.
Medical Image Anal.
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2019 J jnl
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR
Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker
2019 J jnl
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage
Matteo Bastiani, Jesper L. R. Andersson, Lucilio Cordero-Grande, Maria Murgasova, Jana Hutter, Anthony N. Price, Antonios Makropoulos, Sean P. Fitzgibbon, Emer J. Hughes, Daniel Rueckert, Suresh Victor, Mary A. Rutherford, A. David Edwards, Stephen M. Smith, Jacques-Donald Tournier, Joseph V. Hajnal, Saâd Jbabdi, Stamatios N. Sotiropoulos
2019 J jnl
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
IEEE Trans. Medical Imaging
Jinming Duan, Ghalib Bello, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Carlo Biffi, Antonio de Marvao, Georgia Doumou, Declan P. O'Regan, Daniel Rueckert
2019 J jnl
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal.
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2019 — conf
Complete Fetal Head Compounding from Multi-view 3D Ultrasound.
MICCAI (3)
Robert Wright, Nicolas Toussaint, Alberto Gómez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel
2019 J jnl
Computational anatomy for multi-organ analysis in medical imaging: A review.
Medical Image Anal.
Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, Marius George Linguraru
2019 J jnl
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging
Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2019 — conf
Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.
MICCAI (2)
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019 J jnl
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation.
CoRR
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019 J jnl
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR
Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert
2019 — conf
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.
STACOM@MICCAI
Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
2019 J jnl
Deep learning for cardiac image segmentation: A review.
CoRR
Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
2019 J jnl
Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell.
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan, Carlo Biffi, Antonio de Marvao, Luke S. G. E. Howard, J. Simon R. Gibbs, Martin R. Wilkins, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan
2019 J jnl
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019 — conf
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
MICCAI (4)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019 J jnl
Evaluating reinforcement learning agents for anatomical landmark detection.
Medical Image Anal.
Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2019 J jnl
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019 — conf
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.
MICCAI (4)
Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019 — conf
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.
MLMIR@MICCAI
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.
CoRR
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Generalising Deep Learning MRI Reconstruction across Different Domains.
CoRR
Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2019 J jnl
Improving the generalizability of convolutional neural network-based segmentation on CMR images.
CoRR
Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2019 — conf
Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning.
SASHIMI@MICCAI
Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
2019 J jnl
Intelligent image synthesis to attack a segmentation CNN using adversarial learning.
CoRR
Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
2019 J jnl
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.
CoRR
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2019 J jnl
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.
CoRR
Shihao Jin, Nicoló Savioli, Antonio de Marvao, Timothy J. W. Dawes, Axel Gandy, Daniel Rueckert, Declan P. O'Regan
2019 — conf
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
MICCAI (2)
Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert
2019 J jnl
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
CoRR
Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert
2019 J jnl
Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Medical Imaging
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2019 — ed.
Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
MLMIR@MICCAI
Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
2019 — conf
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes.
MLHC
Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard
2019 J jnl
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes.
CoRR
Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard
2019 J jnl
Model-Based and Data-Driven Strategies in Medical Image Computing.
CoRR
Daniel Rueckert, Julia A. Schnabel
2019 — conf
Multiple Landmark Detection Using Multi-agent Reinforcement Learning.
MICCAI (4)
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Multiple Landmark Detection using Multi-Agent Reinforcement Learning.
CoRR
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019 — conf
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction.
MICCAI (3)
Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka
2019 — conf
Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound.
SUSI/PIPPI@MICCAI
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound.
CoRR
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
2019 J jnl
Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort.
PLoS Comput. Biol.
Gabriel Balaban, Brian Halliday, Wenjia Bai, Bradley Porter, Carlotta Malvuccio, Pablo Lamata, Christopher A. Rinaldi, Gernot Plank, Daniel Rueckert, Sanjay K. Prasad, Martin J. Bishop
2019 — conf
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
MICCAI (2)
Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
2019 J jnl
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
CoRR
Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
2019 J jnl
Self-supervised learning for medical image analysis using image context restoration.
Medical Image Anal.
Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
2019 — conf
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.
BrainLes@MICCAI (1)
Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker
2019 J jnl
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations.
CoRR
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
2019 — conf
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations.
IPMI
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
2019 — conf
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
STACOM@MICCAI
Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2019 J jnl
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
CoRR
Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2019 — conf
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
MICCAI (4)
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2019 J jnl
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction.
CoRR
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2019 J jnl
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging
Qingjie Meng, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Matthew Sinclair, Veronika A. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gómez
2019 J jnl
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.
CoRR
Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
2019 — conf
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations.
MICCAI (2)
Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019 J jnl
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations.
CoRR
Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019 J jnl
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2018 J jnl
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 J jnl
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.
CoRR
Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2018 — conf
3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.
MICCAI (1)
Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert
2018 — conf
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
MICCAI (1)
Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2018 J jnl
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
CoRR
Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2018 J jnl
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
2018 J jnl
A generic framework for privacy preserving deep learning.
CoRR
Théo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach
2018 J jnl
A large margin algorithm for automated segmentation of white matter hyperintensity.
Pattern Recognit.
Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018 J jnl
A review on automatic fetal and neonatal brain MRI segmentation.
NeuroImage
Antonios Makropoulos, Serena J. Counsell, Daniel Rueckert
2018 J jnl
A spatio-temporal reference model of the aging brain.
NeuroImage
Wyke Huizinga, Dirk H. J. Poot, Meike W. Vernooij, Gennady Roshchupkin, Esther Bron, Mohammad Arfan Ikram, Daniel Rueckert, Wiro J. Niessen, Stefan Klein
2018 — conf
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
MICCAI (1)
Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2018 J jnl
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
CoRR
Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
2018 J jnl
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2018 J jnl
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images.
CoRR
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2018 J jnl
Attention U-Net: Learning Where to Look for the Pancreas.
CoRR
Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2018 J jnl
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection.
CoRR
Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2018 J jnl
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.
CoRR
Jinming Duan, Ghalib Bello, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Carlo Biffi, Antonio de Marvao, Georgia Doumou, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
CoRR
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Automatic Shadow Detection in 2D Ultrasound Images.
DATRA/PIPPI@MICCAI
Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 — conf
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
MICCAI (1)
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
CoRR
Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018 — conf
Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
ISBI
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Bayesian Deep Learning for Accelerated MR Image Reconstruction.
MLMIR@MICCAI
Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2018 — conf
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
MLMIR@MICCAI
Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
MICCAI (1)
Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert
2018 — conf
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
ShapeMI@MICCAI
Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Carlo Biffi, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review.
CoRR
Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, Marius George Linguraru
2018 — conf
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
MICCAI (1)
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 J jnl
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
CoRR
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018 J jnl
DRINet for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
2018 — conf
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
MICCAI (1)
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 J jnl
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
CoRR
Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018 — conf
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension.
MICCAI (4)
Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Deep learning cardiac motion analysis for human survival prediction.
CoRR
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan, Carlo Biffi, Antonio de Marvao, Luke S. G. E. Howard, J. Simon R. Gibbs, Martin R. Wilkins, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan
2018 — conf
Deep learning with ultrasound physics for fetal skull segmentation.
ISBI
Juan J. Cerrolaza, Matthew Sinclair, Yuanwei Li, Alberto Gómez, Enzo Ferrante, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Daniel Rueckert
2018 J jnl
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension.
CoRR
Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 J jnl
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal.
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 J jnl
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint.
IEEE Trans. Medical Imaging
Maria Kuklisova-Murgasova, Georgia Lockwood Estrin, Rita Gouveia Nunes, Shaihan J. Malik, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal
2018 J jnl
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 — conf
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers.
DATRA/PIPPI@MICCAI
Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 J jnl
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers.
CoRR
Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018 — conf
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.
MICCAI (1)
Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network.
CoRR
Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 — conf
Fetal Skull Reconstruction via Deep Convolutional Autoencoders.
EMBC
Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Jacqueline Matthew, Matthew Sinclair, Chandni Gupta, Caroline L. Knight, Daniel Rueckert
2018 J jnl
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.
CoRR
Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018 J jnl
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation.
CoRR
Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert
2018 — conf
Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
GRAIL/Beyond-MIC@MICCAI
Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert
2018 J jnl
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
CoRR
Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert
2018 J jnl
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage
Salim Arslan, Sofia Ira Ktena, Antonios Makropoulos, Emma C. Robinson, Daniel Rueckert, Sarah Parisot
2018 — conf
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
EMBC
Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
2018 J jnl
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
CoRR
Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
2018 — conf
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.
MICCAI (2)
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018 J jnl
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.
CoRR
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018 — conf
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.
MLMIR@MICCAI
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018 — conf
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.
DATRA/PIPPI@MICCAI
Robert Wright, Bishesh Khanal, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel
2018 — conf
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
MICCAI (2)
Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
CoRR
Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2018 J jnl
Learning-Based Quality Control for Cardiac MR Images.
CoRR
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2018 — ed.
Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
MLMIR@MICCAI
Florian Knoll, Andreas K. Maier, Daniel Rueckert
2018 J jnl
Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2018 B conf
Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks.
Image Processing
Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert
2018 J jnl
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell.
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2018 J jnl
Multi-Task Learning for Left Atrial Segmentation on GE-MRI.
CoRR
Chen Chen, Wenjia Bai, Daniel Rueckert
2018 A conf
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.
WACV
Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 — conf
Multi-task Learning for Left Atrial Segmentation on GE-MRI.
STACOM@MICCAI
Chen Chen, Wenjia Bai, Daniel Rueckert
2018 J jnl
Multimodal surface matching with higher-order smoothness constraints.
NeuroImage
Emma C. Robinson, Kara Garcia, Matthew F. Glasser, Zhengdao Chen, Timothy S. Coalson, Antonios Makropoulos, Jelena Bozek, Robert Wright, Andreas Schuh, Matthew A. Webster, Jana Hutter, Anthony Price, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Philip V. Bayly, David C. Van Essen, Stephen M. Smith, Daniel Rueckert
2018 J jnl
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.
Medical Image Anal.
Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2018 J jnl
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines.
CoRR
Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker
2018 — conf
Real-Time Prediction of Segmentation Quality.
MICCAI (4)
Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker
2018 J jnl
Real-time Prediction of Segmentation Quality.
CoRR
Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker
2018 — conf
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.
MICCAI (4)
Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2018 J jnl
Recurrent neural networks for aortic image sequence segmentation with sparse annotations.
CoRR
Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2018 A* conf
Semi-Supervised Learning via Compact Latent Space Clustering.
ICML
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
2018 J jnl
Semi-Supervised Learning via Compact Latent Space Clustering.
CoRR
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
2018 — conf
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
MLMI@MICCAI
Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 J jnl
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 — conf
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
MICCAI (1)
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
CoRR
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2018 J jnl
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics
Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2018 — conf
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.
MICCAI (1)
Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert
2018 J jnl
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.
CoRR
Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert
2018 — conf
The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry.
CinC
Gabriel Balaban, Caroline Mendonça Costa, Brian Halliday, Bradley Porter, Wenjia Bai, Gernot Plank, Christopher A. Rinaldi, Daniel Rueckert, Sanjay K. Prasad, Martin J. Bishop
2018 J jnl
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage
Antonios Makropoulos, Emma C. Robinson, Andreas Schuh, Robert Wright, Sean P. Fitzgibbon, Jelena Bozek, Serena J. Counsell, Johannes K. Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene P. Duff, Matteo Bastiani, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Daniel Rueckert
2018 J jnl
Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.
Bioinform.
Carlo Biffi, Antonio de Marvao, Mark I Attard, Timothy J. W. Dawes, Nicola Whiffin, Wenjia Bai, Wenzhe Shi, Catherine Francis, Hannah Meyer, Rachel J. Buchan, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan
2018 J jnl
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.
CoRR
Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2017 — conf
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.
DLMIA/ML-CDS@MICCAI
Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2017 J jnl
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR
Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017 J jnl
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
CoRR
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
2017 — conf
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction.
IPMI
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
2017 J jnl
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction.
CoRR
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
2017 J jnl
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng.
Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert
2017 — conf
A deformable model for the reconstruction of the neonatal cortex.
ISBI
Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes K. Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert
2017 J jnl
A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage
Sarah Parisot, Ben Glocker, Sofia Ira Ktena, Salim Arslan, Markus D. Schirmer, Daniel Rueckert
2017 J jnl
A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.
Medical Image Anal.
Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2017 — conf
Accessible GLSL Shader Programming.
Eurographics (Education Papers)
Antoine Toisoul, Daniel Rueckert, Bernhard Kainz
2017 J jnl
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2017 J jnl
Autoadaptive motion modelling for MR-based respiratory motion estimation.
Medical Image Anal.
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2017 — conf
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging.
MICCAI (1)
Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker
2017 J jnl
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
CoRR
Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2017 J jnl
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR
Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl
2017 J jnl
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert
2017 — conf
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
MICCAI (1)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 J jnl
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks.
CoRR
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 J jnl
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal.
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2017 J jnl
Employing Weak Annotations for Medical Image Analysis Problems.
CoRR
Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2017 — conf
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
BrainLes@MICCAI
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017 J jnl
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
CoRR
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017 J jnl
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching.
CoRR
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
2017 — conf
Exploring heritability of functional brain networks with inexact graph matching.
ISBI
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
2017 — conf
Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest.
FIFI/OMIA@MICCAI
Juan J. Cerrolaza, Ozan Oktay, Alberto Gómez, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert
2017 — conf
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets.
MICCAI (2)
Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King
2017 — ch.
Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Christian F. Baumgartner, Ozan Oktay, Daniel Rueckert
2017 J jnl
Group-constrained manifold learning: Application to AD risk assessment.
Pattern Recognit.
Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2017 J jnl
Human-level CMR image analysis with deep fully convolutional networks.
CoRR
Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert
2017 J jnl
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements.
CoRR
Carlos E. Thomaz, Vagner do Amaral, Gilson A. Giraldi, Duncan Fyfe Gillies, Daniel Rueckert
2017 — conf
Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation.
MLMI@MICCAI
Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
2017 J jnl
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Anal.
Veronika A. M. Zimmer, Ben Glocker, Nadine Hahner, Elisenda Eixarch, Gerard Sanromá, Eduard Gratacós, Daniel Rueckert, Miguel Ángel González Ballester, Gemma Piella
2017 — conf
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
FIMH
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2017 J jnl
Multi-atlas pancreas segmentation: Atlas selection based on vessel structure.
Medical Image Anal.
Kenichi Karasawa, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori
2017 J jnl
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion.
Pattern Recognit.
Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert
2017 J jnl
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.
IEEE Trans. Medical Imaging
Amir Alansary, Martin Rajchl, Steven G. McDonagh, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2017 — conf
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
MICCAI (2)
Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017 J jnl
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
CoRR
Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017 J jnl
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics
Jonathan Passerat-Palmbach, Romain Reuillon, Mathieu Leclaire, Antonios Makropoulos, Emma C. Robinson, Sarah Parisot, Daniel Rueckert
2017 J jnl
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017 J jnl
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Medical Imaging
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017 — conf
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation.
MICCAI (2)
Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert
2017 J jnl
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2017 — conf
Spectral Graph Convolutions for Population-Based Disease Prediction.
MICCAI (3)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2017 J jnl
Spectral Graph Convolutions for Population-based Disease Prediction.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2017 J jnl
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging
Ozan Oktay, Wenjia Bai, Ricardo Guerrero, Martin Rajchl, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Mattias P. Heinrich, Ben Glocker, Daniel Rueckert
2017 J jnl
Supervoxel classification forests for estimating pairwise image correspondences.
Pattern Recognit.
Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
2017 — conf
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
IPMI
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2016 — conf
A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path.
MIAR
Dengqiang Jia, Wenzhe Shi, Daniel Rueckert, Liu Liu, Sébastien Ourselin, Xiahai Zhuang
2016 — conf
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
MLMI@MICCAI
Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert
2016 J jnl
A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem.
J. Optim. Theory Appl.
Duy V. N. Luong, Panos Parpas, Daniel Rueckert, Berç Rustem
2016 J jnl
A robust similarity measure for volumetric image registration with outliers.
Image Vis. Comput.
Patrick Snape, Stefan Pszczólkowski, Stefanos Zafeiriou, Georgios Tzimiropoulos, Christian Ledig, Daniel Rueckert
2016 J jnl
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T
NeuroImage
Giulio Ferrazzi, Rita Gouveia Nunes, Tomoki Arichi, Andreia S. Gaspar, Giovanni Barone, Alessandro Allievi, Serge Vasylechko, Maryam Abaei, Emer J. Hughes, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal
2016 — conf
Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation.
MICCAI (1)
Salim Arslan, Sarah Parisot, Daniel Rueckert
2016 — conf
Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions.
MIAR
Kai Nagara, Hirohisa Oda, Shota Nakamura, Masahiro Oda, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Daniel Rueckert, Kensaku Mori
2016 J jnl
Comparison of Brain Networks with Unknown Correspondences.
CoRR
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert
2016 — conf
Construction of a neonatal cortical surface atlas using multimodal surface matching.
ISBI
Jelena Bozek, Sean P. Fitzgibbon, Robert Wright, Daniel Rueckert, Mark Jenkinson, Emma C. Robinson
2016 — conf
Correction of Fat-Water Swaps in Dixon MRI.
MICCAI (3)
Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert
2016 J jnl
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2016 — conf
DeepMedic for Brain Tumor Segmentation.
BrainLes@MICCAI
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2016 — conf
Differential Dementia Diagnosis on Incomplete Data with Latent Trees.
MICCAI (2)
Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Lötjönen, Daniel Rueckert
2016 — conf
Discrete Optimisation for Group-Wise Cortical Surface Atlasing.
CVPR Workshops
Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert
2016 — conf
Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint.
ISBI
Maria Murgasova, Georgia Lockwood Estrin, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal
2016 J jnl
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation.
CoRR
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2016 — conf
Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis.
MIAR
Eric Kerfoot, Lauren Fovargue, Simone Rivolo, Wenzhe Shi, Daniel Rueckert, David Nordsletten, Jack Lee, Radomír Chabiniok, Reza Razavi
2016 J jnl
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans. Biomed. Eng.
Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman
2016 — conf
Fast Deformable Image Registration with Non-smooth Dual Optimization.
CVPR Workshops
Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Daniel Rueckert, Jing Yuan
2016 — conf
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.
MICCAI (2)
Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz
2016 — conf
Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network.
SITIS
Archontis Giannakidis, Konstantinos Kamnitsas, Veronica Spadotto, Jennifer Keegan, Gillian Smith, Ben Glocker, Daniel Rueckert, Sabine Ernst, Michael A. Gatzoulis, Dudley J. Pennell, Sonya Babu-Narayan, David N. Firmin
2016 — conf
GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.
MICCAI (1)
Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert
2016 J jnl
Group-wise parcellation of the cortex through multi-scale spectral clustering.
NeuroImage
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2016 — conf
High-Performance Motion Correction of Fetal MRI.
EuroRV³@EuroVis
Bernhard Kainz, David F. A. Lloyd, Amir Alansary, Maria Kuklisova-Murgasova, Rostislav Khlebnikov, Daniel Rueckert, Mary A. Rutherford, Reza Razavi, Joseph V. Hajnal
2016 J jnl
Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage
Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
2016 — conf
Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas.
STACOM@MICCAI
Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2016 J jnl
Learning clinically useful information from images: Past, present and future.
Medical Image Anal.
Daniel Rueckert, Ben Glocker, Bernhard Kainz
2016 J jnl
Learning under Distributed Weak Supervision.
CoRR
Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert
2016 — conf
Modeling the brain morphology distribution in the general aging population.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Wyke Huizinga, Dirk H. J. Poot, Gennady V. Roshchupkin, Esther E. Bron, Mohammad Arfan Ikram, Meike W. Vernooij, Daniel Rueckert, Wiro J. Niessen, Stefan Klein
2016 J jnl
Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies.
CoRR
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2016 — conf
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.
MICCAI (3)
Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2016 J jnl
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.
CoRR
Amir Alansary, Bernhard Kainz, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2016 — ed.
Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Patch-MI@MICCAI
Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert
2016 B conf
Priori-driven dimensions of face-space: experiments incorporating eye-tracking information.
ETRA
Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, Daniel Rueckert
2016 — conf
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.
SASHIMI@MICCAI
Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert
2016 J jnl
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2016 A* conf
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
CVPR
Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang
2016 J jnl
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
CoRR
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang
2016 — conf
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
MICCAI (2)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert
2016 J jnl
Regional growth and atlasing of the developing human brain.
NeuroImage
Antonios Makropoulos, Paul Aljabar, Robert Wright, Britta Hüning, Nazakat Merchant, Tomoki Arichi, Nora Tusor, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert
2016 — conf
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation.
MICCAI (2)
Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2016 — conf
Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
CinC
Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2016 J jnl
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging
Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge
2016 J jnl
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.
CoRR
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2015 J jnl
4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data.
IEEE Trans. Medical Imaging
Alberto Gómez, Adelaide de Vecchi, Martin Jantsch, Wenzhe Shi, Kuberan Pushparajah, John M. Simpson, Nicolas P. Smith, Daniel Rueckert, Tobias Schaeffter, Graeme P. Penney
2015 — conf
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation.
MICCAI (3)
Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert
2015 — conf
A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images.
EST
Igor R. R. Xavier, M. Pereira, Gilson A. Giraldi, Stuart James Gibson, Christopher J. Solomon, Daniel Rueckert, Duncan Gillies, Carlos E. Thomaz
2015 J jnl
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.
Medical Image Anal.
Wenjia Bai, Wenzhe Shi, Antonio M. Simoes Monteiro de Marvao, Timothy J. W. Dawes, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2015 — conf
Adaptive scan strategies for fetal MRI imaging using slice to volume techniques.
ISBI
Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2015 — conf
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
MICCAI (3)
Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2015 — conf
Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.
MLMMI@ICML
Amir Alansary, Matthew C. H. Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert
2015 — conf
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
STACOM@MICCAI
Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert
2015 — conf
Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features.
STACOM@MICCAI
Wenjia Bai, Ozan Oktay, Daniel Rueckert
2015 J jnl
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage
Robert Wright, Antonios Makropoulos, Vanessa Kyriakopoulou, Prachi A. Patkee, Lisa M. Koch, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
2015 J jnl
Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal.
Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert
2015 C conf
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study.
CIARP
Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Héctor Allende
2015 J jnl
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal.
Ivana Isgum, Manon J. N. L. Benders, Brian B. Avants, Manuel Jorge Cardoso, Serena J. Counsell, Elda Fischi Gomez, Laura Gui, Petra S. Hüppi, Karina J. Kersbergen, Antonios Makropoulos, Andrew Melbourne, Pim Moeskops, Christian P. Mol, Maria Kuklisova-Murgasova, Daniel Rueckert, Julia A. Schnabel, Vedran Srhoj-Egekher, Jue Wu, Siying Wang, Linda S. de Vries, Max A. Viergever
2015 J jnl
Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions.
IEEE Trans. Medical Imaging
Xianliang Wu, Richard James Housden, YingLiang Ma, Benjamin Razavi, Kawal S. Rhode, Daniel Rueckert
2015 — conf
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression.
MICCAI (3)
Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert
2015 J jnl
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices.
IEEE Trans. Medical Imaging
Bernhard Kainz, Markus Steinberger, Wolfgang Wein, Maria Kuklisova-Murgasova, Christina Malamateniou, Kevin Keraudren, Thomas Torsney-Weir, Mary A. Rutherford, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert
2015 — conf
Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
MICCAI (2)
Bernhard Kainz, Amir Alansary, Christina Malamateniou, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2015 J jnl
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.
IEEE Trans. Medical Imaging
Manuel Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David M. Cash, Daniel Rueckert, Sébastien Ourselin
2015 — conf
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning.
MLMI
Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2015 — conf
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning.
MICCAI (1)
Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert
2015 — conf
Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.
IPMI
Salim Arslan, Sarah Parisot, Daniel Rueckert
2015 — conf
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects.
FIMH
Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O'Regan, Andrew P. King, Daniel Rueckert
2015 — conf
Learning and Combining Image Similarities for Neonatal Brain Population Studies.
MLMI
Veronika A. M. Zimmer, Ben Glocker, Paul Aljabar, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Miguel Ángel González Ballester, Daniel Rueckert, Gemma Piella
2015 B conf
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.
Image Processing
Christopher Bowles, Niamh C. Nowlan, Tayyib T. A. Hayat, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2015 — conf
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI.
MICCAI (3)
Salim Arslan, Daniel Rueckert
2015 — conf
Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.
IPMI
Lisa M. Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2015 J jnl
Multi-atlas segmentation with augmented features for cardiac MR images.
Medical Image Anal.
Wenjia Bai, Wenzhe Shi, Christian Ledig, Daniel Rueckert
2015 — conf
Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.
IPMI
Alexander Schmidt-Richberg, Ricardo Guerrero, Christian Ledig, Helena Molina-Abril, Alejandro F. Frangi, Daniel Rueckert
2015 — conf
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease.
MLMI
Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert
2015 B conf
Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases.
Image Processing
Kenichi Karasawa, Masahiro Oda, Yuichiro Hayashi, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
2015 — ed.
Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
Patch-MI@MICCAI
Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert
2015 — conf
Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.
FIMH
Haiyan Wang, Wenzhe Shi, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Timothy J. W. Dawes, Declan P. O'Regan, Philip J. Edwards, Stuart A. Cook, Daniel Rueckert
2015 — conf
Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation.
FIMH
Ozan Oktay, Alberto Gómez, Kevin Keraudren, Andreas Schuh, Wenjia Bai, Wenzhe Shi, Graeme P. Penney, Daniel Rueckert
2015 — conf
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning.
MICCAI (3)
Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2015 J jnl
Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal.
Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
2015 J jnl
Robust whole-brain segmentation: Application to traumatic brain injury.
Medical Image Anal.
Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Juan Carlos López, Virginia F. J. Newcombe, Antonios Makropoulos, Jyrki Lötjönen, David K. Menon, Daniel Rueckert
2015 — conf
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
IPMI
Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2015 — conf
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes.
MCV@MICCAI
Kenichi Karasawa, Takayuki Kitasaka, Masahiro Oda, Yukitaka Nimura, Yuichiro Hayashi, Michitaka Fujiwara, Kazunari Misawa, Daniel Rueckert, Kensaku Mori
2015 — conf
Structured Decision Forests for Multi-modal Ultrasound Image Registration.
MICCAI (2)
Ozan Oktay, Andreas Schuh, Martin Rajchl, Kevin Keraudren, Alberto Gómez, Mattias P. Heinrich, Graeme P. Penney, Daniel Rueckert
2015 — conf
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences.
MLMI
Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
2015 — conf
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors.
STACOM@MICCAI
Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2015 — conf
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex.
IPMI
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2014 — conf
A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding X-ray fluoroscopic image segmentation and hierarchical GRAPH modelling.
ISBI
Xianliang Wu, Richard James Housden, YingLiang Ma, Kawal S. Rhode, Daniel Rueckert
2014 — conf
A robust similarity measure for nonrigid image registration with outliers.
ISBI
Stefan Pszczólkowski, Stefanos Zafeiriou, Christian Ledig, Daniel Rueckert
2014 — conf
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data.
MICCAI (1)
Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal
2014 — conf
Autoadaptive motion modelling.
ISBI
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014 J jnl
Automated fetal brain segmentation from 2D MRI slices for motion correction.
NeuroImage
Kevin Keraudren, Maria Kuklisova-Murgasova, Vanessa Kyriakopoulou, Christina Malamateniou, Mary A. Rutherford, Bernhard Kainz, Joseph V. Hajnal, Daniel Rueckert
2014 J jnl
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain.
IEEE Trans. Medical Imaging
Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig, Paul Aljabar, Ahmed Serag, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert
2014 — conf
Automatic quantification of CT images for traumatic brain injury.
ISBI
Juha Koikkalainen, Jyrki Lötjönen, Christian Ledig, Daniel Rueckert, Olli Tenovuo, David K. Menon
2014 J jnl
Automatic quantification of normal cortical folding patterns from fetal brain MRI.
NeuroImage
Robert Wright, Vanessa Kyriakopoulou, Christian Ledig, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
2014 — conf
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury.
ISBI
Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert
2014 — conf
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
STIA
Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert
2014 — conf
Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework.
ISBI
Anil Rao, Christian Ledig, Virginia F. J. Newcombe, David K. Menon, Daniel Rueckert
2014 — conf
Coronary centerline extraction based on ostium detection and model-guided directional minimal path.
ISBI
Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang
2014 J jnl
Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction.
IEEE Trans. Medical Imaging
Jose Caballero, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal
2014 — conf
Extended boundary shift integral.
ISBI
Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert
2014 — conf
Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
ISBI
Bernhard Kainz, Kevin Keraudren, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2014 — conf
Geodesic Patch-Based Segmentation.
MICCAI (1)
Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2014 — conf
Graph-Based Label Propagation in Fetal Brain MR Images.
MLMI
Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert
2014 J jnl
Hierarchical Manifold Learning for Regional Image Analysis.
IEEE Trans. Medical Imaging
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
2014 — conf
High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study.
ISBI
Bernhard Kainz, Philip Voglreiter, Michael Sereinigg, Iris Wiederstein-Grasser, Ursula Mayrhauser, Sonja Kostenbauer, Mika Pollari, Rostislav Khlebnikov, Matthias Seise, Tuomas Alhonnoro, Yrjö Häme, Daniel Seider, Ronan Flanagan, Claire Bost, Judith Muehl, David P. O'Neill, Tingying Peng, Stephen J. Payne, Daniel Rueckert, Dieter Schmalstieg, Michael Moche, Marina Kolesnik, Philipp Stiegler, Rupert H. Portugaller
2014 J jnl
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal.
Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2014 B conf
Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images.
ICPR
Qinquan Gao, Akshay Asthana, Tong Tong, Yipeng Hu, Daniel Rueckert, Philip J. Edwards
2014 — conf
Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI.
ISBI
Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert
2014 — conf
Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.
MLMI
Ricardo Guerrero, Christian Ledig, Daniel Rueckert
2014 — conf
Manifold Learning for Cardiac Modeling and Estimation Framework.
STACOM
Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith
2014 J jnl
Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO.
NeuroImage
Ricardo Guerrero, Robin Wolz, A. W. Rao, Daniel Rueckert
2014 — conf
Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI.
MICCAI (2)
Bernhard Kainz, Christina Malamateniou, Maria Murgasova, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2014 — conf
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation.
MICCAI (1)
Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert
2014 — conf
Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images.
Computer-Aided Diagnosis
Qinquan Gao, Tong Tong, Daniel Rueckert, Eddie Edwards
2014 B conf
Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation.
Image Processing
Qinquan Gao, Akshay Asthana, Tong Tong, Daniel Rueckert, Philip J. Edwards
2014 J jnl
Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal.
Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, Daniel Rueckert
2014 A* conf
Patch-Based Evaluation of Image Segmentation.
CVPR
Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert
2014 — ch.
Registration and Segmentation in Medical Imaging.
Registration and Recognition in Images and Videos
Daniel Rueckert, Julia A. Schnabel
2014 — conf
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning.
ISBI
Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert
2013 — conf
3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction.
ISBI
Martin Jantsch, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal
2013 J jnl
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging
Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert
2013 J jnl
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images.
IEEE Trans. Medical Imaging
Wenjia Bai, Wenzhe Shi, Declan P. O'Regan, Tong Tong, Haiyan Wang, Shahnaz Jamil-Copley, Nicholas S. Peters, Daniel Rueckert
2013 J jnl
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation.
IEEE Trans. Medical Imaging
Robin Wolz, Chengwen Chu, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert
2013 J jnl
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database.
Medical Image Anal.
Catalina Tobon-Gomez, Mathieu De Craene, Kristin McLeod, Lennart Tautz, Wenzhe Shi, Anja Hennemuth, Adityo Prakosa, H. Wang, Gerry Carr-White, Stam Kapetanakis, Anja Lutz, Volker Rasche, Tobias Schaeffter, Constantine Butakoff, Ola Friman, Tommaso Mansi, Maxime Sermesant, Xiahai Zhuang, Sébastien Ourselin, Heinz-Otto Peitgen, Xavier Pennec, Reza Razavi, Daniel Rueckert, Alejandro F. Frangi, Kawal S. Rhode
2013 — conf
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch.
MICCAI (3)
Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert
2013 — conf
Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions.
ISBI
Xianliang Wu, Richard James Housden, Niharika Varma, YingLiang Ma, Daniel Rueckert, Kawal S. Rhode
2013 B conf
Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI.
Image Processing
Xiahai Zhuang, Wenzhe Shi, Haiyan Wang, Daniel Rueckert, Sébastien Ourselin
2013 B conf
Data-specific feature point descriptor matching using dictionary learning and graphical models.
Image Processing
Ricardo Guerrero, Daniel Rueckert
2013 — conf
Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions.
STACOM
Xianliang Wu, Richard James Housden, Niharika Varma, YingLiang Ma, Kawal S. Rhode, Daniel Rueckert
2013 — conf
Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI.
FIMH
Radomír Chabiniok, James Wong, Daniel Giese, David Nordsletten, Wenzhe Shi, Gerald Greil, Daniel Rueckert, Reza Razavi, Tobias Schaeffter, Nic Smith
2013 — ed.
Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings
FIMH
Sébastien Ourselin, Daniel Rueckert, Nicolas Smith
2013 — conf
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
IPMI
Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King
2013 B conf
Improving whole-brain segmentations through incorporating regional image intensity statistics.
Image Processing
Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2013 B conf
Landmark detection and coupled patch registration for cardiac motion tracking.
Image Processing
Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Xianliang Wu, Kai-Pin Tung, Sébastien Ourselin, Philip J. Edwards, Daniel Rueckert
2013 — conf
Localisation of the Brain in Fetal MRI Using Bundled SIFT Features.
MICCAI (1)
Kevin Keraudren, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2013 — conf
Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA.
MICCAI (1)
Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang
2013 J jnl
Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy.
Comput. Medical Imaging Graph.
Qinquan Gao, Ping-Lin Chang, Daniel Rueckert, Syed Mohammed Ali, Daniel Cohen, Philip Pratt, Erik Mayer, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards
2013 — conf
Multi-atlas based neointima segmentation in intravascular coronary OCT.
ISBI
Kai-Pin Tung, Wen-Jia Bei, Wenzhe Shi, Haiyan Wang, Tong Tong, Ranil De Silva, Eddie Edwards, Daniel Rueckert
2013 — conf
Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images.
MICCAI (2)
Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Yukitaka Nimura, Daniel Rueckert, Kensaku Mori
2013 B conf
Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas.
Image Processing
Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Robin Wolz, Daniel Rueckert, Kensaku Mori
2013 — conf
Multiple Instance Learning for Classification of Dementia in Brain MRI.
MICCAI (2)
Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert
2013 — conf
Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding.
MICCAI (1)
Nick Weiss, Daniel Rueckert, Anil Rao
2013 — conf
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches.
MICCAI (1)
Markus Schirmer, Gareth Ball, Serena J. Counsell, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar
2013 — conf
Patch-Based Segmentation without Registration: Application to Knee MRI.
MLMI
Zehan Wang, Claire R. Donoghue, Daniel Rueckert
2013 J jnl
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
NeuroImage
Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2013 J jnl
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage
Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert
2013 J jnl
Temporal sparse free-form deformations.
Medical Image Anal.
Wenzhe Shi, Martin Jantsch, Paul Aljabar, Luis Pizarro, Wenjia Bai, Haiyan Wang, Declan P. O'Regan, Xiahai Zhuang, Daniel Rueckert
2013 J jnl
The estimation of patient-specific cardiac diastolic functions from clinical measurements.
Medical Image Anal.
Jiahe Xi, Pablo Lamata, Steven A. Niederer, Sander Land, Wenzhe Shi, Xiahai Zhuang, Sébastien Ourselin, Simon G. Duckett, Anoop Shetty, C. Aldo Rinaldi, Daniel Rueckert, Reza Razavi, Nic Smith
2012 — conf
4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction.
ICCSW
Martin Jantsch, Daniel Rueckert, Joseph V. Hajnal
2012 J jnl
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration.
IEEE Trans. Medical Imaging
Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Duy V. N. Luong, Catalina Tobon-Gomez, Kai-Pin Tung, Philip J. Edwards, Kawal S. Rhode, Reza Razavi, Sébastien Ourselin, Daniel Rueckert
2012 J jnl
Automated measurement of local white matter lesion volume.
NeuroImage
Fedde van der Lijn, Benjamin F. J. Verhaaren, Mohammad Arfan Ikram, Stefan Klein, Marleen de Bruijne, Henri A. Vrooman, Meike W. Vernooij, Alexander Hammers, Daniel Rueckert, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen
2012 — conf
Automatic detection of coronary stent struts in intravascular OCT imaging.
Computer-Aided Diagnosis
Kai-Pin Tung, Wenzhe Shi, Luis Pizarro, Hiroto Tsujioka, Haiyan Wang, Ricardo Guerrero, Ranil De Silva, Philip Eddie Edwards, Daniel Rueckert
2012 — ed.
Biomedical Image Registration - 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012. Proceedings
WBIR
Benoit M. Dawant, Gary E. Christensen, J. Michael Fitzpatrick, Daniel Rueckert
2012 J jnl
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.
NeuroImage
Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J. Counsell, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2012 — conf
Dictionary Learning and Time Sparsity in Dynamic MRI.
MICCAI (1)
Jose Caballero, Daniel Rueckert, Joseph V. Hajnal
2012 J jnl
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation.
Int. J. Comput. Vis.
François-Xavier Vialard, Laurent Risser, Daniel Rueckert, Colin J. Cotter
2012 J jnl
Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265].
NeuroImage
Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J. Counsell, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2012 — conf
Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative.
CVPR Workshops
Claire R. Donoghue, Anil Rao, Luis Pizarro, Anthony M. J. Bull, Daniel Rueckert
2012 — conf
Geodesic Information Flows.
MICCAI (2)
Manuel Jorge Cardoso, Robin Wolz, Marc Modat, Nick C. Fox, Daniel Rueckert, Sébastien Ourselin
2012 — conf
Gradient Projection Learning for Parametric Nonrigid Registration.
MLMI
Stefan Pszczólkowski, Luis Pizarro, Declan P. O'Regan, Daniel Rueckert
2012 — conf
Hierarchical Manifold Learning.
MICCAI (1)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
2012 — conf
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior.
ISBI
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
2012 — conf
LISA: Longitudinal image registration via spatio-temporal atlases.
ISBI
Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert
2012 — conf
Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities.
ISBI
Ricardo Guerrero, Luis Pizarro, Robin Wolz, Daniel Rueckert
2012 — conf
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative.
MLMI
Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro, Daniel Rueckert
2012 B conf
Localised manifold learning for cardiac image analysis.
Image Processing
Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2012 J jnl
Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants.
NeuroImage
Ioannis S. Gousias, A. David Edwards, Mary A. Rutherford, Serena J. Counsell, Joseph V. Hajnal, Daniel Rueckert, Alexander Hammers
2012 — conf
Multi-class brain segmentation using atlas propagation and EM-based refinement.
ISBI
Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2012 — conf
Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases.
MICCAI (1)
Robin Wolz, Chengwen Chu, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2012 J jnl
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.
NeuroImage
Katherine R. Gray, Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
2012 J jnl
Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Medical Image Anal.
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
2012 B conf
Nonrigid free-form registration using landmark-based statistical deformation models.
Image Processing
Stefan Pszczólkowski, Luis Pizarro, Ricardo Guerrero, Daniel Rueckert
2012 — conf
Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions.
STACOM
Xianliang Wu, Richard James Housden, YingLiang Ma, Daniel Rueckert, Kawal S. Rhode
2012 J jnl
Recognition of 3D facial expression dynamics.
Image Vis. Comput.
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic, Daniel Rueckert
2012 J jnl
Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes.
Medical Image Anal.
Mingxing Hu, Graeme P. Penney, Michael Figl, Philip J. Edwards, Fernando Bello, Roberto Casula, Daniel Rueckert, David J. Hawkes
2012 — conf
Registration Using Sparse Free-Form Deformations.
MICCAI (2)
Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert
2012 — conf
Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI).
WBIR
Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert
2012 — conf
Solving MRF Minimization by Mirror Descent.
ISVC (1)
Duy V. N. Luong, Panos Parpas, Daniel Rueckert, Berç Rustem
2012 J jnl
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
NeuroImage
Maria Vounou, Eva Janousová, Robin Wolz, Jason L. Stein, Paul M. Thompson, Daniel Rueckert, Giovanni Montana
2012 — conf
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.
MCV
Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert
2012 — conf
Unsupervised Learning of Shape Complexity: Application to Brain Development.
STIA
Ahmed Serag, Ioannis S. Gousias, Antonios Makropoulos, Paul Aljabar, Joseph V. Hajnal, James P. Boardman, Serena J. Counsell, Daniel Rueckert
2011 J jnl
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging
Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2011 — conf
A Four-dimensional Atlas of Neonatal Brain MRI.
MIUA
Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert
2011 — conf
A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions.
FIMH
Xiahai Zhuang, Wenzhe Shi, Simon G. Duckett, Haiyan Wang, Reza Razavi, David J. Hawkes, Daniel Rueckert, Sébastien Ourselin
2011 — conf
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation.
STACOM
Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sébastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert
2011 — conf
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
IPMI
Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert
2011 J jnl
A dynamic 4D probabilistic atlas of the developing brain.
NeuroImage
Maria Kuklisova-Murgasova, Paul Aljabar, Latha Srinivasan, Serena J. Counsell, Valentina Doria, Ahmed Serag, Ioannis S. Gousias, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2011 B conf
A dynamic approach to the recognition of 3D facial expressions and their temporal models.
FG
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic, Daniel Rueckert
2011 — conf
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
ISBI
Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers
2011 — conf
An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation.
FIMH
Jiahe Xi, Pablo Lamata, Wenzhe Shi, Steven A. Niederer, Sander Land, Daniel Rueckert, Simon G. Duckett, Anoop Shetty, C. Aldo Rinaldi, Reza Razavi, Nic Smith
2011 — conf
Automated Segmentation of Coronary Vessel Wall in OCT Imaging.
MIUA
Kai-Pin Tung, Wenzhe Shi, Ranil De Silva, Philip J. Edwards, Daniel Rueckert
2011 — conf
Automated quantification and analysis of facial asymmetry in children with arthritis in the temporomandibular joint.
ISBI
Tron A. Darvann, Nuno V. Hermann, Sune Demant, Per Larsen, Hildur Ólafsdóttir, Signe S. Thorup, Marek Zak, Angelo B. Lipira, Alex A. Kane, Daniel Govier, Helena Schatz, Daniel Rueckert, Sven Kreiborg
2011 — conf
Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images.
STACOM
Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon G. Duckett, Kai-Pin Tung, Philip J. Edwards, Reza Razavi, Sébastien Ourselin, Daniel Rueckert
2011 — conf
Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation.
FIMH
Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Declan P. O'Regan, Philip J. Edwards, Sébastien Ourselin, Daniel Rueckert
2011 — conf
Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging.
FIMH
Rashed Karim, Aruna Arujuna, Alex Brazier, Jaswinder S. Gill, C. Aldo Rinaldi, Mark D. O'Neill, Reza Razavi, Tobias Schaeffter, Daniel Rueckert, Kawal S. Rhode
2011 J jnl
Automatic morphometry in Alzheimer's disease and mild cognitive impairment.
NeuroImage
Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers
2011 — conf
Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration.
Computer-Aided Diagnosis
Bin Chen, Hideto Naito, Yoshihiko Nakamura, Takayuki Kitasaka, Daniel Rueckert, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori
2011 — conf
Automatical vessel wall detection in intravascular coronary OCT.
ISBI
Kai-Pin Tung, Wenzhe Shi, Ranil De Silva, Eddie Edwards, Daniel Rueckert
2011 — conf
Construction of a 4D atlas of the developing brain using non-rigid registration.
ISBI
Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert
2011 — conf
Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images.
MIUA
François-Xavier Vialard, Laurent Risser, Darryl D. Holm, Daniel Rueckert
2011 — conf
Exploiting hierarchy in structural brain networks.
ISBI
Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander
2011 — conf
Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease.
MIUA
Eva Janousová, Maria Vounou, Robin Wolz, Katherine R. Gray, Daniel Rueckert, Giovanni Montana
2011 J jnl
Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease.
NeuroImage
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valtteri Julkunen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
2011 — conf
Hierarchy in structural brain networks.
MIUA
Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander
2011 — conf
Improved generation of probabilistic atlases for the expectation maximization classification.
ISBI
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
2011 B conf
Incorporating hard constraints into non-rigid registration via nonlinear programming.
Image Processing
Duy V. N. Luong, Daniel Rueckert, Berç Rustem
2011 — conf
Inference of functional connectivity from direct and indirect structural brain connections.
ISBI
Fani Deligianni, Emma C. Robinson, Christian F. Beckmann, David J. Sharp, A. David Edwards, Daniel Rueckert
2011 — conf
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images.
MICCAI (2)
Ricardo Guerrero, Robin Wolz, Daniel Rueckert
2011 — conf
Learning and Discovery of Clinically Useful Information from Images.
Bildverarbeitung für die Medizin
Daniel Rueckert
2011 — conf
Manifold learning combining imaging with non-imaging information.
ISBI
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
2011 B conf
Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI).
Image Processing
Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert
2011 — conf
Manifold-based classification incorporating subject metadata.
MIUA
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert
2011 B conf
Motion tracking of left ventricle and coronaries in 4D CTA.
Image Processing
Dong Ping Zhang, Xiahai Zhuang, Sébastien Ourselin, Daniel Rueckert
2011 J jnl
Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease.
NeuroImage
Juha Koikkalainen, Jyrki Lötjönen, Lennart Thurfjell, Daniel Rueckert, Gunhild Waldemar, Hilkka Soininen
2011 — conf
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia.
MLMI
Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2011 — conf
Regional Analysis of FDG-PET for the Classification of Alzheimers Disease.
MIUA
Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
2011 — conf
Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease.
ISBI
Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert
2011 — conf
Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.
MLINI
Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert
2011 J jnl
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging
Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2011 — conf
Towards dense motion estimation in light and electron microscopy.
ISBI
Luis Pizarro, José Delpiano, Paul Aljabar, Javier Ruiz-del-Solar, Daniel Rueckert
2011 — conf
Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI.
ISBI
Ahmed Serag, Paul Aljabar, Serena J. Counsell, James P. Boardman, Joseph V. Hajnal, Daniel Rueckert
2011 — conf
Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance.
STACOM
Rashed Karim, Aruna Arujuna, Alex Brazier, Jaswinder S. Gill, C. Aldo Rinaldi, Michael Cooklin, Mark D. O'Neill, Reza Razavi, Tobias Schaeffter, Daniel Rueckert, Kawal S. Rhode
2010 — conf
A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi.
WBIR
Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee
2010 — conf
A Robust Mosaicing Method for Robotic Assisted Minimally Invasive Surgery.
ICINCO (2)
Mingxing Hu, David J. Hawkes, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Fernando Bello, Michael Figl, Roberto Casula
2010 — conf
A Robust Mosaicing Method with Super-Resolution for Optical Medical Images.
MIAR
Mingxing Hu, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Fernando Bello, Michael Figl, Roberto Casula, Yigang Cen, Jie Liu, Zhenjiang Miao
2010 J jnl
A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm.
NeuroImage
James P. Boardman, C. Craven, S. Valappil, Serena J. Counsell, Leigh Dyet, Daniel Rueckert, Paul Aljabar, Mary A. Rutherford, A. T. M. Chew, Joanna M. Allsop, Frances M. Cowan, A. David Edwards
2010 J jnl
An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease.
NeuroImage
Gareth Ball, Serena J. Counsell, Mustafa Anjari, Nazakat Merchant, Tomoki Arichi, Valentina Doria, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, James P. Boardman
2010 — conf
Automated quantification and analysis of mandibular asymmetry.
ISBI
Tron A. Darvann, Nuno V. Hermann, Per Larsen, Hildur Ólafsdóttir, Izabella V. Hansen, Hanne D. Hove, Leif Christensen, Daniel Rueckert, Sven Kreiborg
2010 — conf
Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas.
STACOM/CESC
Rashed Karim, Christoph Juli, Louisa Malcolme-Lawes, David Wyn-Davies, Prapa Kanagaratnam, Nicholas S. Peters, Daniel Rueckert
2010 — conf
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
ISBI
Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert, Alexander Hammers
2010 — conf
Construction of a dynamic 4D probabilistic atlas for the developing brain.
ISBI
Maria Murgasova, Latha Srinivasan, Ioannis S. Gousias, Paul Aljabar, Joseph V. Hajnal, A. David Edwards, Daniel Rueckert
2010 — conf
Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration.
MIAR
Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip J. Edwards, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010 — conf
Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search.
ISBI
Dong Ping Zhang, Laurent Risser, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010 J jnl
Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447].
NeuroImage
Kolawole Oluwole Babalola, Brian Patenaude, Paul Aljabar, Julia A. Schnabel, David N. Kennedy, William R. Crum, Stephen M. Smith, Timothy F. Cootes, Mark Jenkinson, Daniel Rueckert
2010 — conf
Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints.
ACCV (4)
Ravi Garg, Luis Pizarro, Daniel Rueckert, Lourdes Agapito
2010 J jnl
Editorial.
Medical Image Anal.
Daniel Rueckert, David J. Hawkes, Guido Gerig, Guang-Zhong Yang
2010 J jnl
Fast and robust multi-atlas segmentation of brain magnetic resonance images.
NeuroImage
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
2010 J jnl
Identifying population differences in whole-brain structural networks: A machine learning approach.
NeuroImage
Emma C. Robinson, Alexander Hammers, Anders Ericsson, A. David Edwards, Daniel Rueckert
2010 J jnl
Image guidance for robotic minimally invasive coronary artery bypass.
Comput. Medical Imaging Graph.
Michael Figl, Daniel Rueckert, David J. Hawkes, Roberto Casula, Mingxing Hu, Ose Pedro, Dong Ping Zhang, Graeme P. Penney, Fernando Bello, Philip J. Edwards
2010 — conf
Image registration of whole-body mouse MRI.
ISBI
X. Josette Chen, Satheesh Maheswaran, Daniel Rueckert, R. Mark Henkelman
2010 J jnl
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage
Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers
2010 — conf
Inference of functional connectivity from structural brain connectivity.
ISBI
Fani Deligianni, Emma C. Robinson, Christian F. Beckmann, David J. Sharp, A. David Edwards, Daniel Rueckert
2010 J jnl
LEAP: Learning embeddings for atlas propagation.
NeuroImage
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert
2010 — conf
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies.
WBIR
Laurent Risser, François-Xavier Vialard, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2010 — conf
Manifold Learning for Biomarker Discovery in MR Imaging.
MLMI
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert
2010 J jnl
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage
Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert
2010 — conf
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
ISBI
Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert
2010 — conf
Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA.
WBIR
Dong Ping Zhang, Laurent Risser, Ola Friman, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010 J jnl
Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner].
IEEE Signal Process. Mag.
Daniel Rueckert, Paul Aljabar
2010 — conf
Probabilistic white matter and fiber tract atlas construction.
ISBI
Emma C. Robinson, Daniel Rueckert, Alexander Hammers, A. David Edwards
2010 — conf
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease.
MICCAI (2)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert
2010 — conf
Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration.
MIAR
Wenzhe Shi, Maria Murgasova, Philip J. Edwards, Daniel Rueckert
2009 B conf
4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery.
Image Processing
Dong Ping Zhang, Eddie Edwards, Lin Mei, Daniel Rueckert
2009 J jnl
An evaluation of four automatic methods of segmenting the subcortical structures in the brain.
NeuroImage
Kolawole Oluwole Babalola, Brian Patenaude, Paul Aljabar, Julia A. Schnabel, David N. Kennedy, William R. Crum, Stephen M. Smith, Timothy F. Cootes, Mark Jenkinson, Daniel Rueckert
2009 J jnl
Analysis of serial magnetic resonance images of mouse brains using image registration.
NeuroImage
Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Paul Aljabar, Derek L. G. Hill, Lorna Tilling, Neil Upton, Michael F. James, Joseph V. Hajnal, Daniel Rueckert
2009 — conf
Atlas-Based Registration Parameters in Segmenting Sub-Cortical Regions from Brain MRI-Images.
ISBI
Jyrki Lötjönen, Juha Koikkalainen, Daniel Rueckert
2009 — conf
Automatic Extraction of the Left Atrial Anatomy from MR for Atrial Fibrillation Ablation.
ISBI
Rashed Karim, Daniel Rueckert, Raad Mohiaddin, Peter Drivas
2009 B conf
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Image Processing
Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Daniel Rueckert, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers
2009 J jnl
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage
Arno Klein, Jesper L. R. Andersson, Babak A. Ardekani, John Ashburner, Brian B. Avants, Ming-Chang Chiang, Gary E. Christensen, D. Louis Collins, James C. Gee, Pierre Hellier, Joo Hyun Song, Mark Jenkinson, Claude Lepage, Daniel Rueckert, Paul M. Thompson, Tom Vercauteren, Roger P. Woods, J. John Mann, Ramin V. Parsey
2009 — conf
Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation.
Image-Guided Procedures
Rashed Karim, Raad Mohiaddin, Daniel Rueckert
2009 — ed.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I
MICCAI (1)
Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Christopher J. Taylor
2009 — ed.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II
MICCAI (2)
Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Christopher J. Taylor
2009 J jnl
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage
Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert
2009 — conf
Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery.
MICCAI (1)
Mingxing Hu, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Fernando Bello, Roberto Casula, Michael Figl, David J. Hawkes
2009 — conf
Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass.
Image-Guided Procedures
Michael Figl, Daniel Rueckert, Eddie Edwards
2009 — conf
Robust Segmentation of Brain Structures in MRI.
ISBI
Maria Murgasova, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2009 — conf
Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information.
ISBI
Robin Wolz, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2009 — conf
Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter.
MICCAI (1)
Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee
2009 — conf
The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation.
ISBI
Rolf A. Heckemann, Alexander Hammers, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal
2008 — conf
A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints.
MICCAI (1)
Mingxing Hu, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Michael Figl, Philip Pratt, David J. Hawkes
2008 J jnl
Assessment of brain growth in early childhood using deformation-based morphometry.
NeuroImage
Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Daniel Rueckert
2008 — conf
Augmented reality image guidance for minimally invasive coronary artery bypass.
Image-Guided Procedures
Michael Figl, Daniel Rueckert, David J. Hawkes, Roberto Casula, Mingxing Hu, Ose Pedro, Dong Ping Zhang, Graeme P. Penney, Fernando Bello, Philip J. Edwards
2008 J jnl
Automated morphological analysis of magnetic resonance brain imaging using spectral analysis.
NeuroImage
Paul Aljabar, Daniel Rueckert, William R. Crum
2008 J jnl
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest.
NeuroImage
Ioannis S. Gousias, Daniel Rueckert, Rolf A. Heckemann, Leigh Dyet, James P. Boardman, A. David Edwards, Alexander Hammers
2008 J jnl
Automatic volumetry on MR brain images can support diagnostic decision making.
BMC Medical Imaging
Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert, Richard I. Aviv, Christopher J. Harvey, Joseph V. Hajnal
2008 — conf
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI.
MICCAI (1)
Kolawole O. Babalola, Brian Patenaude, Paul Aljabar, Julia A. Schnabel, David N. Kennedy, William R. Crum, Stephen M. Smith, Timothy F. Cootes, Mark Jenkinson, Daniel Rueckert
2008 — conf
Construction of a patient-specific atlas of the brain: Application to normal aging.
ISBI
Anders Ericsson, Paul Aljabar, Daniel Rueckert
2008 — conf
Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass.
ISBMS
Michael Figl, Daniel Rueckert, David J. Hawkes, Roberto Casula, Mingxing Hu, Ose Pedro, Dong Ping Zhang, Graeme P. Penney, Fernando Bello, Philip J. Edwards
2008 — conf
Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images.
ISBI
Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Thomas Hartkens, Derek L. G. Hill, Lorna Tilling, Neil Upton, Michael F. James, Joseph V. Hajnal, Daniel Rueckert
2008 — conf
Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI.
MICCAI (2)
Hui Xue, Jens Guehring, Latha Srinivasan, Sven Zühlsdorff, Kinda Anna Saddi, Christophe Chefd'Hotel, Joseph V. Hajnal, Daniel Rueckert
2008 J jnl
Hierarchical statistical shape analysis and prediction of sub-cortical brain structures.
Medical Image Anal.
Anil Rao, Paul Aljabar, Daniel Rueckert
2008 — conf
Image Guidance for Robotic Minimally Invasive Coronary Artery Bypass.
MIAR
Michael Figl, Daniel Rueckert, David J. Hawkes, Roberto Casula, Mingxing Hu, Ose Pedro, Dong Ping Zhang, Graeme P. Penney, Fernando Bello, Philip J. Edwards
2008 — conf
Interactive Finite Element Simulation of the Beating Heart for Image-Guided Robotic Cardiac Surgery.
MMVR
Philip Pratt, Fernando Bello, Eddie Edwards, Daniel Rueckert
2008 — conf
Left atrium segmentation for atrial fibrillation ablation.
Image-Guided Procedures
Rashed Karim, Raad Mohiaddin, Daniel Rueckert
2008 — conf
Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography.
MICCAI (1)
Emma C. Robinson, Michel F. Valstar, Alexander Hammers, Anders Ericsson, A. David Edwards, Daniel Rueckert
2008 J jnl
Performance prediction for a code with data-dependent runtimes.
Concurr. Comput. Pract. Exp.
Stephen A. Jarvis, B. P. Foley, P. J. Isitt, Daniel P. Spooner, Daniel Rueckert, Graham R. Nudd
2008 — conf
Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling.
MICCAI (1)
Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards
2008 — conf
Sample Sufficiency and PCA Dimension for Statistical Shape Models.
ECCV (4)
Lin Mei, Michael Figl, Ara Darzi, Daniel Rueckert, Philip J. Edwards
2008 — conf
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia.
MICCAI (2)
Paul Aljabar, Daniel Rueckert, William R. Crum
2008 — conf
Statistical shape modelling: How many modes should be retained?
CVPR Workshops
Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards
2007 J jnl
A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput.
Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2007 B conf
Automated localization of periventricular and subcortical white matter lesions.
Image Processing
Fedde van der Lijn, Meike W. Vernooij, Mohammad Arfan Ikram, Henri A. Vrooman, Daniel Rueckert, Alexander Hammers, Monique M. B. Breteler, Wiro J. Niessen
2007 — conf
Automatic Cortical Segmentation in the Developing Brain.
IPMI
Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal
2007 J jnl
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage
Alexander Hammers, Rolf A. Heckemann, Matthias J. Koepp, John S. Duncan, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
2007 J jnl
Automatic segmentation and reconstruction of the cortex from neonatal MRI.
NeuroImage
Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal
2007 — conf
Classifier Selection Strategies for Label Fusion Using Large Atlas Databases.
MICCAI (1)
Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert
2007 — conf
Groupwise Combined Segmentation and Registration for Atlas Construction.
MICCAI (1)
Kanwal K. Bhatia, Paul Aljabar, James P. Boardman, Latha Srinivasan, Maria Murgasova, Serena J. Counsell, Mary A. Rutherford, Joseph V. Hajnal, A. David Edwards, Daniel Rueckert
2007 J jnl
Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis.
IEEE Trans. Medical Imaging
Daniel Rueckert, Polina Golland
2007 — conf
In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging.
MICCAI (1)
Shuzhou Jiang, Hui Xue, Serena J. Counsell, Mustafa Anjari, Joanna M. Allsop, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal
2007 — conf
Longitudinal Cortical Registration for Developing Neonates.
MICCAI (2)
Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal
2007 J jnl
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies.
IEEE Trans. Medical Imaging
Shuzhou Jiang, Hui Xue, Alan Glover, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal
2007 J jnl
Multivariate Statistical Differences of MRI Samples of the Human Brain.
J. Math. Imaging Vis.
Carlos E. Thomaz, Fabio L. S. Duran, Geraldo Filho Bussato, Duncan Fyfe Gillies, Daniel Rueckert
2007 — conf
Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis.
MICCAI (1)
Raghavendra Chandrashekara, Raad Mohiaddin, Reza Razavi, Daniel Rueckert
2007 B conf
Quantifying brain development in early childhood using segmentation and registration.
Image Processing
Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Daniel Rueckert
2007 — conf
Robust segmentation of brain MRI using combination of registration and EM-based methods.
SCCG
Maria Murgasova, Leigh Dyet, Joseph V. Hajnal, Mary A. Rutherford, A. David Edwards, Daniel Rueckert
2007 B conf
Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model.
Image Processing
Dimitrios Perperidis, Raad Mohiaddin, Philip J. Edwards, Daniel Rueckert
2007 — conf
Similarity Metrics for Groupwise Non-rigid Registration.
MICCAI (2)
Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert
2007 — conf
Unbiased White Matter Atlas Construction Using Diffusion Tensor Images.
MICCAI (2)
Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee
2006 — conf
3D Statistical Shape Modeling of Long Bones.
WBIR
Yuhui Yang, Anthony Bull, Daniel Rueckert, Adam Hill
2006 B conf
A whole brain morphometric analysis of changes associated with pre-term birth.
Image Processing
Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2006 J jnl
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry.
NeuroImage
James P. Boardman, Serena J. Counsell, Daniel Rueckert, Olga Kapellou, Kanwal K. Bhatia, Paul Aljabar, Joseph V. Hajnal, Joanna M. Allsop, Mary A. Rutherford, A. David Edwards
2006 — conf
Analysis of growth in the developing brain using non-rigid registration.
ISBI
Paul Aljabar, Kanwal K. Bhatia, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Dyet Dyet, A. David Edwards, Daniel Rueckert
2006 J jnl
Automatic Quantification of Changes in Bone in Serial MR Images of Joints.
IEEE Trans. Medical Imaging
Kelvin K. Leung, Mark Holden, Nadeem Saeed, K. J. Brooks, J. B. Buckton, A. A. Williams, Simon P. Campbell, Kumar Changani, D. G. Reid, Y. Zhao, Michael Wilde, Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill
2006 J jnl
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage
Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers
2006 — conf
Automatic extraction and matching of neonatal cerebral vasculature.
ISBI
Hui Xue, Christina Malamateniou, Joanna M. Allsop, Latha Srinivasan, Joseph V. Hajnal, Daniel Rueckert
2006 — conf
Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration.
WBIR
Anil Rao, Kolawole O. Babalola, Daniel Rueckert
2006 J jnl
Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral.
NeuroImage
Richard G. Boyes, Daniel Rueckert, Paul Aljabar, Jennifer L. Whitwell, Jonathan M. Schott, Derek L. G. Hill, Nicholas C. Fox
2006 — conf
Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.
WBIR
Satheesh Maheswaran, Hervé Barjat, Simon T. Bate, Thomas Hartkens, Derek L. G. Hill, Michael F. James, Lorna Tilling, Neil Upton, Joseph V. Hajnal, Daniel Rueckert
2006 — conf
Diffeomorphic Registration Using B-Splines.
MICCAI (2)
Daniel Rueckert, Paul Aljabar, Rolf A. Heckemann, Joseph V. Hajnal, Alexander Hammers
2006 — conf
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach.
SIBGRAPI
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A. Oliveira, Fabio L. S. Duran, Geraldo Filho Bussato, Duncan Fyfe Gillies, Daniel Rueckert
2006 — conf
Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures.
CVPR Workshops
Anil Rao, Timothy F. Cootes, Daniel Rueckert
2006 — conf
Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence.
MICCAI (2)
Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers
2006 — conf
Quantification of Growth and Motion Using Non-rigid Registration.
CVAMIA
Daniel Rueckert, Raghavendra Chandrashekara, Paul Aljabar, Kanwal K. Bhatia, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Joseph V. Hajnal, Raad Mohiaddin
2006 — conf
Segmentation of Brain MRI in Young Children.
MICCAI (1)
Maria Murgasova, Leigh Dyet, A. David Edwards, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert
2006 — conf
Statistical Finite Element Model for Bone Shape and Biomechanical Properties.
MICCAI (1)
Laura Belenguer Querol, Philippe Büchler, Daniel Rueckert, Lutz-Peter Nolte, Miguel Ángel González Ballester
2006 J jnl
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data.
NeuroImage
Stephen M. Smith, Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E. Mackay, Kate E. Watkins, Olga Ciccarelli, M. Zaheer Cader, Paul M. Matthews, Timothy Edward John Behrens
2005 B conf
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation.
Image Processing
Jinsong Ren, Beatrix I. Sneller, Daniel Rueckert, Joseph V. Hajnal, Rolf A. Heckemann, Stephen M. Smith, John Vickers, Derek L. G. Hill
2005 — conf
Comparison of Cardiac Motion Fields from Tagged and Untagged MR Images Using Nonrigid Registration.
FIMH
Raghavendra Chandrashekara, Raad Mohiaddin, Daniel Rueckert
2005 — conf
Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification.
MICCAI (2)
Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert
2005 — conf
Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation.
FIMH
Gerardo I. Sanchez-Ortiz, Maxime Sermesant, Kawal S. Rhode, Raghavendra Chandrashekara, Reza Razavi, Derek L. G. Hill, Daniel Rueckert
2005 — conf
Evaluation of 3D Face Recognition Using Registration and PCA.
AVBPA
Theodoros Papatheodorou, Daniel Rueckert
2005 — conf
Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences.
FIMH
Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert
2005 J jnl
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration.
IEEE Trans. Medical Imaging
Daniel B. Russakoff, Torsten Rohlfing, Kensaku Mori, Daniel Rueckert, Anthony Ho, John R. Adler Jr., Calvin R. Maurer Jr.
2005 A conf
Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation.
MICCAI
William R. Crum, Oscar Camara, Daniel Rueckert, Kanwal K. Bhatia, Mark Jenkinson, Derek L. G. Hill
2005 — conf
Interpolation Artefacts in Non-rigid Registration.
MICCAI (2)
Paul Aljabar, Joseph V. Hajnal, Richard G. Boyes, Daniel Rueckert
2005 A conf
Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI.
MICCAI
Gerardo I. Sanchez-Ortiz, Maxime Sermesant, Kawal S. Rhode, Raghavendra Chandrashekara, Reza Razavi, Derek L. G. Hill, Daniel Rueckert
2005 B conf
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.
Image Processing
Rolf A. Heckemann, Joseph V. Hajnal, Daniel Rueckert, Derek L. G. Hill, Alexander Hammers
2005 J jnl
Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging.
Medical Image Anal.
Maxime Sermesant, Kawal S. Rhode, Gerardo I. Sanchez-Ortiz, Oscar Camara, R. Andriantsimiavona, Sanjeet Hegde, Daniel Rueckert, Pier Lambiase, Clifford Bucknall, Eric Rosenthal, Herve Delingette, Derek L. G. Hill, Nicholas Ayache, Reza Razavi
2005 J jnl
Spatio-temporal free-form registration of cardiac MR image sequences.
Medical Image Anal.
Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert
2004 — conf
3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit.
MICCAI (1)
Robert M. Lapp, Maria Lorenzo-Valdés, Daniel Rueckert
2004 — conf
A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging.
MICCAI (1)
William R. Crum, Daniel Rueckert, Mark Jenkinson, David N. Kennedy, Stephen M. Smith
2004 J jnl
Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration.
IEEE Trans. Medical Imaging
Raghavendra Chandrashekara, Raad Mohiaddin, Daniel Rueckert
2004 — conf
Analysis of Serial MR Images of Joints.
ISBI
Kelvin K. Leung, Derek L. G. Hill, Rolf A. Heckemann, Daniel Rueckert, Joseph V. Hajnal, Nadeem Saeed, Keith Brooks, Jacky Buckton, Kumar Changani, David Reid
2004 — conf
Building a 4D Atlas of the Cardiac Anatomy and Motion Using MR Imaging.
ISBI
Dimitrios Perperidis, Raghavendra Chandrashekara, Maria Lorenzo-Valdés, Gerardo I. Sanchez-Ortiz, Anil Rao, Daniel Rueckert, Raad Mohiaddin
2004 — conf
Cardiac Motion Tracking in Tagged MR Images Using a 4D B-spline Motion Model and Nonrigid Image Registration.
ISBI
Raghavendra Chandrashekara, Daniel Rueckert, Raad Mohiaddin
2004 — conf
Consistent Groupwise Non-Rigid Registration for Atlas Construction.
ISBI
Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri, A. David Edwards, Daniel Rueckert
2004 — conf
Detecting the Onset of Myocardial Contraction for Establishing Inverse Electro-Mechanical Coupling in XMR Guided RF Ablation.
ISBI
Gerardo I. Sanchez-Ortiz, Raghavendra Chandrashekara, Maxime Sermesant, Kawal S. Rhode, Reza Razavi, Derek L. G. Hill, Daniel Rueckert
2004 — conf
Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images.
MICCAI (1)
Maria Lorenzo-Valdés, Gerardo I. Sanchez-Ortiz, Hugo G. Bogren, Raad Mohiaddin, Daniel Rueckert
2004 — conf
Evaluation of Automatic 4D Face Recognition Using Surface and Texture Registration.
FGR
Theodoros Papatheodorou, Daniel Rueckert
2004 — conf
Registration-Based Interpolation Using a High-Resolution Image for Guidance.
MICCAI (1)
Graeme P. Penney, Julia A. Schnabel, Daniel Rueckert, David J. Hawkes, Wiro J. Niessen
2004 J jnl
Registration-based interpolation.
IEEE Trans. Medical Imaging
Graeme P. Penney, Julia A. Schnabel, Daniel Rueckert, Max A. Viergever, Wiro J. Niessen
2004 J jnl
Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm.
Medical Image Anal.
Maria Lorenzo-Valdés, Gerardo I. Sanchez-Ortiz, Andrew Elkington, Raad Mohiaddin, Daniel Rueckert
2004 — conf
Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging.
MICCAI (2)
Maxime Sermesant, Kawal S. Rhode, Angela Anjorin, Sanjeet Hegde, Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Pier Lambiase, Clifford Bucknall, Derek L. G. Hill, Reza Razavi
2004 — conf
Simultaneous Segmentation and Registration for Medical Image.
MICCAI (1)
Xiaohua Chen, Michael Brady, Daniel Rueckert
2004 J jnl
Spatial transformation of motion and deformation fields using nonrigid registration.
IEEE Trans. Medical Imaging
Anil Rao, Raghavendra Chandrashekara, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Paul Aljabar, Joseph V. Hajnal, Basant K. Puri, Daniel Rueckert
2004 — conf
Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences.
MICCAI (1)
Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert
2004 — conf
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
MICCAI (1)
Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2003 — conf
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth.
MICCAI (1)
James P. Boardman, Kanwal K. Bhatia, Serena J. Counsell, Joanna M. Allsop, Olga Kapellou, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2003 — conf
Analysis of Myocardial Motion and Strain Patterns Using a Cylindrical B-Spline Transformation Model.
IS4TH
Raghavendra Chandrashekara, Raad Mohiaddin, Daniel Rueckert
2003 — conf
Application of XMR 2D-3D Registration to Cardiac Interventional Guidance.
MICCAI (1)
Kawal S. Rhode, Derek L. G. Hill, Philip J. Edwards, John H. Hipwell, Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Sanjeet Hegde, Vithuran Rahunathan, Reza Razavi
2003 J jnl
Automatic Construction of 3D Statistical Deformation Models of the Brain using Non-Rigid Registration.
IEEE Trans. Medical Imaging
Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel
2003 — conf
Automatic Construction of Biventricular Statistical Shape Models.
FIMH
Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, Wiro J. Niessen
2003 — conf
Construction of a Cardiac Motion Atlas From MR Using Non-rigid Registration.
FIMH
Anil Rao, Gerardo I. Sanchez-Ortiz, Raghavendra Chandrashekara, Maria Lorenzo-Valdés, Raad Mohiaddin, Daniel Rueckert
2003 — conf
Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration.
IPMI
Raghavendra Chandrashekara, Anil Rao, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Daniel Rueckert
2003 B conf
FPGA-Based Computation of Free-Form Deformations.
FPL
Jun Jiang, Wayne Luk, Daniel Rueckert
2003 — conf
FPGA-based computation of free-form deformations in medical image registration.
FPT
Jun Jiang, Wayne Luk, Daniel Rueckert
2003 B conf
Fast calculation of digitally reconstructed radiographs using light fields.
Image Processing
Daniel B. Russakoff, Torsten Rohlfing, Daniel Rueckert, Ramin Shahidi, Daniel H. Kim, Calvin R. Maurer Jr.
2003 — conf
Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images.
WBIR
Dimitrios Perperidis, Anil Rao, Raad Mohiaddin, Daniel Rueckert
2003 J jnl
Registration and tracking to integrate x-ray and MR images in an XMR facility.
IEEE Trans. Medical Imaging
Kawal S. Rhode, Derek L. G. Hill, Philip J. Edwards, John H. Hipwell, Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Sanjeet Hegde, Vithuran Rahunathan, Reza Razavi
2003 — conf
Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm.
MICCAI (1)
Maria Lorenzo-Valdés, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Daniel Rueckert
2003 — conf
Spatio-temporal Alignment of 4D Cardiac MR Images.
FIMH
Dimitrios Perperidis, Anil Rao, Maria Lorenzo-Valdés, Raad Mohiaddin, Daniel Rueckert
2002 — conf
A Dynamic Brain Atlas.
MICCAI (1)
Derek L. G. Hill, Joseph V. Hajnal, Daniel Rueckert, Stephen M. Smith, Thomas Hartkens, Kate McLeish
2002 B conf
Analysis of myocardial motion in tagged MR images using nonrigid image registration.
Image Processing
Raghavendra Chandrashekara, Raad H. Mohiaddin, Daniel Rueckert
2002 — conf
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration.
MICCAI (1)
Maria Lorenzo-Valdés, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Daniel Rueckert
2002 — conf
Automated camera calibration for image-guided surgery using intensity-based registration.
Image-Guided Procedures
Daniel Rueckert, Calvin R. Maurer Jr.
2002 — conf
Automatic Construction of 3D Statistical Deformation Models: Application to Patients with Schizophrenia.
Bildverarbeitung für die Medizin
Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel
2002 J jnl
Automatic Construction of Multiple-object Three-dimensional Statistical Shape Models: Application to Cardiac Modelling.
IEEE Trans. Medical Imaging
Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, Wiro J. Niessen
2002 — conf
Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration.
MICCAI (1)
Anil Rao, Gerardo I. Sanchez-Ortiz, Raghavendra Chandrashekara, Maria Lorenzo-Valdés, Raad Mohiaddin, Daniel Rueckert
2002 — conf
FPGA-based computation of free-form deformations.
FPT
Jun Jiang, Wayne Luk, Daniel Rueckert
2002 — conf
Non-rigid registration of cardiac MR: application to motion modelling and atlas-based segmentation.
ISBI
Daniel Rueckert, Maria Lorenzo-Valdés, Raghavendra Chandrashekara, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin
2002 J jnl
Three-dimensional Cardiovascular Image Analysis.
IEEE Trans. Medical Imaging
Alejandro F. Frangi, Daniel Rueckert, James S. Duncan
2002 — conf
VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images.
Bildverarbeitung für die Medizin
Thomas Hartkens, Daniel Rueckert, Julia A. Schnabel, David J. Hawkes, Derek L. G. Hill
2001 A conf
A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations.
MICCAI
Julia A. Schnabel, Daniel Rueckert, Marcel Quist, Jane M. Blackall, Andy D. Castellano-Smith, Thomas Hartkens, Graeme P. Penney, Walter A. Hall, Haiying Liu, Charles L. Truwit, Frans A. Gerritsen, Derek L. G. Hill, David J. Hawkes
2001 — conf
Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration.
IPMI
Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, Wiro J. Niessen
2001 A conf
Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration.
MICCAI
Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel
2001 J jnl
Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes
2000 A conf
An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound.
MICCAI
Jane M. Blackall, Daniel Rueckert, Calvin R. Maurer Jr., Graeme P. Penney, Derek L. G. Hill, David J. Hawkes
2000 B conf
Multiple 2D video/3D medical image registration algorithm.
Image Processing
Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David John Hawkes
2000 B conf
Non-rigid registration using higher-order mutual information.
Image Processing
Daniel Rueckert, Matthew J. Clarkson, Derek L. G. Hill, David John Hawkes
2000 A conf
Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images.
MICCAI
Christine Tanner, Julia A. Schnabel, Daniel Chung, Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes
1999 A conf
Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging.
MICCAI
Derek L. G. Hill, Calvin R. Maurer Jr., Alastair J. Martin, Saras Sabanathan, Walter A. Hall, David J. Hawkes, Daniel Rueckert, Charles L. Truwit
1999 B conf
Comparison and evaluation of rigid and nonrigid registration of breast MR images.
Image Processing
Daniel Rueckert, Luke I. Sonoda, Erica R. E. Denton, S. Rankin, Carmel Hayes, Martin O. Leach, Derek L. G. Hill, David John Hawkes
1999 J jnl
Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images.
Medical Image Anal.
Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Peter Burger
1999 J jnl
Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images.
IEEE Trans. Medical Imaging
Daniel Rueckert, Luke I. Sonoda, Carmel Hayes, Derek L. G. Hill, Martin O. Leach, David J. Hawkes
1999 A conf
Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping.
MICCAI
Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes
1999 B conf
Registration of multiple video images to preoperative CT for image-guided surgery.
Image Processing
Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David John Hawkes
1998 J jnl
Investigation of intraoperative brain deformation using a 1.5 Tesla interventional MR system: Preliminary results.
IEEE Trans. Medical Imaging
Calvin R. Maurer Jr., Derek L. G. Hill, Alastair J. Martin, Haiying Liu, M. McCue, Daniel Rueckert, David Lloret, Walter A. Hall, Robert E. Maxwell, David J. Hawkes, Charles L. Truwit
1998 J jnl
Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging.
Medical Image Anal.
Guang-Zhong Yang, Peter Burger, Jonathan Panting, Peter Gatehouse, Daniel Rueckert, Dudley Pennell, David N. Firmin
1998 A conf
Non-rigid Registration of Breast MR Images Using Mutual Information.
MICCAI
Daniel Rueckert, Carmel Hayes, Colin Studholme, Paul E. Summers, Martin O. Leach, David J. Hawkes
1997 J jnl
Automatic Tracking of the Aorta in Cardiovascular MR Images Using Deformable Models.
IEEE Trans. Medical Imaging
Daniel Rueckert, Peter Burger, S. M. Forbat, Raad Mohiaddin, Guang-Zhong Yang
1997 — conf
Geometrically Deformable Templates for Shape-Based Segmentation and Tracking in Cardiac MR Images.
EMMCVPR
Daniel Rueckert, Peter Burger
1997 — conf
Shape-based segmentation and tracking in 4D cardiac MR images.
CVRMed
Daniel Rueckert, Peter Burger
1996 A conf
Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images.
BMVC
Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Peter Burger
1996 B conf
Multiscale approach to contour fitting for MR images.
Image Processing
Daniel Rueckert, Peter Burger
1995 A conf
Contour Fitting using an Adaptive Spline Model.
BMVC
Daniel Rueckert, Peter Burger