Bernhard Kainz

299 papers A* 6B 2Journal 180Unranked 105

Year	Rank	Type	Title / Venue / Authors
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	—	`conf`	Distil or Cluster? - Data-efficient Learning for Ultrasound in Practice. Bildverarbeitung für die Medizin Jennifer Ochmann, Johanna P. Müller, Franciskus Xaverius Erick, Bernhard Kainz
2026	J	`jnl`	Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies. CoRR Ben Schaper, Maxime Di Folco, Bernhard Kainz, Julia A. Schnabel, Cosmin I. Bercea
2026	J	`jnl`	ShapePuri: Shape Guided and Appearance Generalized Adversarial Purification. CoRR Zhe Li, Bernhard Kainz
2026	J	`jnl`	SigVLP: Sigmoid Volume-Language Pre-Training for Self-Supervised CT-Volume Adaptive Representation Learning. CoRR Jiayi Wang, Hadrien Reynaud, Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Bjoern Menze, Bernhard Kainz
2025	J	`jnl`	Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging. CoRR Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Dong Yang, Pengfei Guo, Marc Edgar, Daguang Xu, Bernhard Kainz, Bjoern H. Menze
2025	J	`jnl`	CRG Score: A Distribution-Aware Clinical Metric for Radiology Report Generation. CoRR Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Bernhard Kainz, Bjoern H. Menze
2025	—	`conf`	CTFlow: Video-Inspired Latent Flow Matching for 3D CT Synthesis. ICCVW Jiayi Wang, Hadrien Reynaud, Franciskus Xaverius Erick, Bernhard Kainz
2025	J	`jnl`	CTFlow: Video-Inspired Latent Flow Matching for 3D CT Synthesis. CoRR Jiayi Wang, Hadrien Reynaud, Franciskus Xaverius Erick, Bernhard Kainz
2025	J	`jnl`	Dataset Distillation with Probabilistic Latent Features. CoRR Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2025	—	`conf`	Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. ISIC@MICCAI Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter
2025	J	`jnl`	Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. CoRR Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter
2025	J	`jnl`	EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation. CoRR Hadrien Reynaud, Alberto Gómez, Paul Leeson, Qingjie Meng, Bernhard Kainz
2025	—	`conf`	Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models. BRIDGE/DeCaF@MICCAI Mischa Dombrowski, Bernhard Kainz
2025	J	`jnl`	Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models. CoRR Mischa Dombrowski, Bernhard Kainz
2025	J	`jnl`	GRASP: Guided Residual Adapters with Sample-wise Partitioning. CoRR Felix Nützel, Mischa Dombrowski, Bernhard Kainz
2025	J	`jnl`	Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models. CoRR Felix Nützel, Mischa Dombrowski, Bernhard Kainz
2025	—	`conf`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. GRAIL/RIME@MICCAI Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	J	`jnl`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. CoRR Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	A*	`conf`	Image Generation Diversity Issues and How to Tame Them. CVPR Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2025	J	`jnl`	InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography. CoRR Zhe Li, Hadrien Reynaud, Alberto Gómez, Bernhard Kainz
2025	J	`jnl`	L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. CoRR Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz
2025	—	`conf`	L-FUSION: Laplacian Fetal Ultrasound Segmentation and Uncertainty Estimation. ASMUS@MICCAI Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz
2025	J	`jnl`	LCMem: A Universal Model for Robust Image Memorization Detection. CoRR Mischa Dombrowski, Felix Nützel, Bernhard Kainz
2025	J	`jnl`	Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis. CoRR Zhe Li, Hadrien Reynaud, Johanna P. Müller, Bernhard Kainz
2025	—	`conf`	Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis. MICCAI (8) Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li, Bernhard Kainz
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`	Leveraging Multi-Modal Information to Enhance Dataset Distillation. CoRR Zhe Li, Hadrien Reynaud, Bernhard Kainz
2025	—	`conf`	Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. MICCAI (16) Mengyun Qiao, Jin Zheng, Weitong Zhang, Qiang Ma, Liu Li, Bernhard Kainz, Declan P. O'Regan, Paul M. Matthews, Steven A. Niederer, Wenjia Bai
2025	J	`jnl`	Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis. CoRR Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz
2025	—	`conf`	Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis. MICCAI (1) Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz
2025	J	`jnl`	NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI. CoRR Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria O. Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler
2025	—	`conf`	Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling. MLMI@MICCAI Felix Nützel, Mischa Dombrowski, Bernhard Kainz
2025	J	`jnl`	Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling. CoRR Felix Nützel, Mischa Dombrowski, Bernhard Kainz
2025	J	`jnl`	STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits. CoRR Foivos Paraperas Papantoniou, Stathis Galanakis, Rolandos Alexandros Potamias, Bernhard Kainz, Stefanos Zafeiriou
2025	J	`jnl`	SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models. CoRR Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou, Bernhard Kainz, Stefanos Zafeiriou
2025	J	`jnl`	Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling. J. Vis. Commun. Image Represent. Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz
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`	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 Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity. CoRR Zuoou Li, Weitong Zhang, Jingyuan Wang, Shuyuan Zhang, Wenjia Bai, Bernhard Kainz, Mengyun Qiao
2025	—	`conf`	Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. Bildverarbeitung für die Medizin Lisa K. Fischer, Johanna P. Müller, Christian Schröder, Anja Hanser, Michela Cuomo, Thomas G. Day, Cheng Ouyang, Oliver Dewald, Oliver Rompel, Sven Dittrich, Thomas Küstner, Bernhard Kainz
2025	J	`jnl`	Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators. npj Digit. Medicine Giancarlo Speranza, Sven Mischkewitz, Fouad Al-Noor, Bernhard Kainz
2025	J	`jnl`	Video Dataset Condensation with Diffusion Models. CoRR Zhe Li, Hadrien Reynaud, Mischa Dombrowski, Sarah Cechnicka, Franciskus Xaverius Erick, Bernhard Kainz
2025	J	`jnl`	Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. npj Digit. Medicine Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal
2024	—	`conf`	Arc2Face: A Foundation Model for ID-Consistent Human Faces. ECCV (37) Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou
2024	J	`jnl`	Arc2Face: A Foundation Model of Human Faces. CoRR Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou
2024	—	`conf`	Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. Bildverarbeitung für die Medizin Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz
2024	J	`jnl`	Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey. CoRR Andrea Prenner, Bernhard Kainz
2024	—	`conf`	DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	—	`conf`	Data-Efficient Generation for Dataset Distillation. ECCV Workshops (19) Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024	J	`jnl`	Data-Efficient Generation for Dataset Distillation. CoRR Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
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	—	`conf`	EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing. MICCAI (7) Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz
2024	J	`jnl`	EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. CoRR Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz
2024	—	`conf`	Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	J	`jnl`	Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	—	`conf`	Image Distillation for Safe Data Sharing in Histopathology. MICCAI (10) Zhe Li, Bernhard Kainz
2024	J	`jnl`	Image Distillation for Safe Data Sharing in Histopathology. CoRR Zhe Li, Bernhard Kainz
2024	J	`jnl`	Image Generation Diversity Issues and How to Tame Them. CoRR Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2024	—	`conf`	Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz
2024	J	`jnl`	JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. CoRR Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz
2024	J	`jnl`	Multitask Weakly Supervised Generative Network for MR-US Registration. IEEE Trans. Medical Imaging Mohammad Farid Azampour, Kristina Mach, Emad Fatemizadeh, Beatrice Demiray, Kay Westenfelder, Katja Steiger, Matthias Eiber, Thomas Wendler, Bernhard Kainz, Nassir Navab
2024	J	`jnl`	Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models. CoRR Muhammad Haaris Khan, Hadrien Reynaud, Bernhard Kainz
2024	—	`conf`	Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. MLMI@MICCAI (2) Johanna P. Müller, Bernhard Kainz
2024	J	`jnl`	Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR Johanna P. Müller, Bernhard Kainz
2024	A*	`conf`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. NeurIPS Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	J	`jnl`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	J	`jnl`	Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation. CoRR Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2024	—	`conf`	Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. ECCV (75) Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2024	A*	`conf`	Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
2024	J	`jnl`	Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. CoRR Weitong Zhang, Chengqi Zang, Bernhard Kainz
2024	—	`conf`	URCDM: Ultra-Resolution Image Synthesis in Histopathology. MICCAI (4) Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2024	J	`jnl`	URCDM: Ultra-Resolution Image Synthesis in Histopathology. CoRR Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2024	—	`conf`	Uncertainty-Aware Vision Transformers for Medical Image Analysis. UNSURE@MICCAI Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
2024	J	`jnl`	Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification. CoRR Mischa Dombrowski, Hadrien Reynaud, Bernhard Kainz
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	—	`conf`	Unsupervised Similarity Learning for Image Registration with Energy-Based Models. WBIR Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz
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`	Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans. CoRR Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
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`	Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
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`	DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2023	J	`jnl`	Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
2023	J	`jnl`	Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation. CoRR Hadrien Reynaud, Bernhard Kainz
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`	Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. MICCAI (10) Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz
2023	J	`jnl`	Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. CoRR Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz
2023	A*	`conf`	Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. ICCV Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
2023	J	`jnl`	Improving image labelling quality. Nat. Mac. Intell. Thomas G. Day, John M. Simpson, Reza Razavi, Bernhard Kainz
2023	—	`conf`	Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis. Bildverarbeitung für die Medizin Bernhard Kainz
2023	—	`conf`	Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. Bildverarbeitung für die Medizin Constantin Jehn, Johanna P. Müller, Bernhard Kainz
2023	—	`conf`	LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. DALI@MICCAI Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai
2023	J	`jnl`	LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. CoRR Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai
2023	—	`conf`	Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023	J	`jnl`	Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023	—	`conf`	MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
2023	J	`jnl`	ParaDime: A Framework for Parametric Dimensionality Reduction. Comput. Graph. Forum Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit
2023	J	`jnl`	Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
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`	Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. CoRR Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Realistic Data Enrichment for Robust Image Segmentation in Histopathology. DART@MICCAI Sarah Cechnicka, James Ball, Hadrien Reynaud, Callum Arthurs, Candice Roufosse, Bernhard Kainz
2023	J	`jnl`	Realistic Data Enrichment for Robust Image Segmentation in Histopathology. CoRR Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz
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	J	`jnl`	Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference. CoRR Sudarshan Sreeram, Bernhard Kainz
2023	—	`ed.`	Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings ASMUS@MICCAI Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day
2023	J	`jnl`	Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
2023	J	`jnl`	Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology. CoRR Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew P. T. Smith, Candice Roufosse, Bernhard Kainz
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2023	J	`jnl`	Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease. IEEE J. Biomed. Health Informatics Grzegorz Sarapata, Yuriy Dushin, Gareth Morinan, Joshua Ong, Sanjay Budhdeo, Bernhard Kainz, Jonathan O'Keeffe
2023	—	`conf`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
2022	J	`jnl`	A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2022	A*	`conf`	A variational Bayesian method for similarity learning in non-rigid image registration. CVPR Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc
2022	—	`conf`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	J	`jnl`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
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`	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	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	—	`conf`	D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
2022	J	`jnl`	D'ARTAGNAN: Counterfactual Video Generation. CoRR Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
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	—	`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	J	`jnl`	Is More Data All You Need? A Causal Exploration. CoRR Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	—	`conf`	Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2022	J	`jnl`	PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel
2022	J	`jnl`	ParaDime: A Framework for Parametric Dimensionality Reduction. CoRR Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit
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`	Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
2022	—	`conf`	Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
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`	Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. CoRR Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
2022	—	`conf`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2022	J	`jnl`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2021	J	`jnl`	A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Anal. Samuel Budd, Emma C. Robinson, Bernhard Kainz
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	—	`conf`	Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? DART/FAIR@MICCAI Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz
2021	J	`jnl`	Can non-specialists provide high quality gold standard labels in challenging modalities? CoRR Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz
2021	—	`conf`	Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
2021	J	`jnl`	Contrastive Learning for View Classification of Echocardiograms. CoRR Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
2021	J	`jnl`	Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer. CoRR Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz
2021	J	`jnl`	Deep radiance caching: Convolutional autoencoders deeper in ray tracing®. Comput. Graph. Giulio Jiang, Bernhard Kainz
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`	Estimating the probabilities of causation via deep monotonic twin networks. CoRR Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
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	—	`conf`	MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
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`	Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. npj Digit. Medicine Bernhard Kainz, Mattias P. Heinrich, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Andreas Ruttloff, Matthew D. Stevenson, Peter Klein-Weigel, Nicola S. Curry
2021	J	`jnl`	PRETUS: A plug-in based platform for real-time ultrasound imaging research. CoRR Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel
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	—	`conf`	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021	J	`jnl`	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
2021	J	`jnl`	Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). CoRR Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2021	J	`jnl`	Topological Data Analysis of Database Representations for Information Retrieval. CoRR Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod
2021	—	`conf`	Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2021	J	`jnl`	Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2021	J	`jnl`	Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. CoRR Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc
2021	A*	`conf`	Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
2021	J	`jnl`	Unsupervised Human Pose Estimation through Transforming Shape Templates. CoRR Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
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
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	—	`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	J	`jnl`	Causal Future Prediction in a Minkowski Space-Time. CoRR Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	Detecting Outliers with Foreign Patch Interpolation. CoRR Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
2020	J	`jnl`	Divergent Search for Few-Shot Image Classification. CoRR Jeremy Tan, Bernhard Kainz
2020	—	`conf`	Divergent search for image classification behaviors. GECCO Companion Jeremy Tan, Bernhard Kainz
2020	J	`jnl`	Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020	—	`conf`	Image Registration via Stochastic Gradient Markov Chain Monte Carlo. UNSURE/GRAIL@MICCAI Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc
2020	—	`conf`	Introduction to Geometric Learning in Python with Geomstats. SciPy Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020	J	`jnl`	Learning Cross-domain Generalizable Features by Representation Disentanglement. CoRR Qingjie Meng, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. CoRR Elisa Chotzoglou, Thomas G. Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz
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`	Projective Latent Interventions for Understanding and Fine-Tuning Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI Andreas P. Hinterreiter, Marc Streit, Bernhard Kainz
2020	J	`jnl`	Projective Latent Space Decluttering. CoRR Andreas P. Hinterreiter, Marc Streit, Bernhard Kainz
2020	—	`conf`	Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. MLCN/RNO-AI@MICCAI Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz
2020	J	`jnl`	Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. CoRR Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz
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	J	`jnl`	A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis. CoRR Samuel Budd, Emma C. Robinson, Bernhard Kainz
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	—	`conf`	Automatic Detection of Bowel Disease with Residual Networks. PRIME@MICCAI Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz
2019	J	`jnl`	Automatic Detection of Bowel Disease with Residual Networks. CoRR Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz
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	—	`conf`	Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. MICCAI (4) Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz
2019	J	`jnl`	Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. CoRR Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz
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	—	`conf`	Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Elisa Chotzoglou, Bernhard Kainz
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`	Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. Comput. Graph. Thomas Schultz, Anna Puig, Bernhard Kainz
2019	J	`jnl`	Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
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	J	`jnl`	One Shot Radiance: Global Illumination Using Convolutional Autoencoders. CoRR Giulio Jiang, Bernhard Kainz
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	—	`conf`	Semi-supervised Learning of Fetal Anatomy from Ultrasound. DART/MIL3ID@MICCAI Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
2019	J	`jnl`	Semi-supervised Learning of Fetal Anatomy from Ultrasound. CoRR Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
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
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	—	`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	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	—	`conf`	AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. MICCAI (2) Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich
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`	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	—	`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	J	`jnl`	Efficient Image Evidence Analysis of CNN Classification Results. CoRR Keyang Zhou, 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`	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	—	`ed.`	Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings RAMBO+BIA+TIA@MICCAI Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2018	J	`jnl`	Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, 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`	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`	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	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	—	`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	—	`conf`	Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017	J	`jnl`	Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
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`	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	—	`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	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	—	`ed.`	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CMMI/RAMBO/SWITCH@MICCAI M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer
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	J	`jnl`	Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. IEEE Trans. Vis. Comput. Graph. Haichao Miao, Gabriel Mistelbauer, Alexey Karimov, Amir Alansary, Alice Davidson, David F. A. Lloyd, Mellisa Damodaram, Lisa Story, Jana Hutter, Joseph V. Hajnal, Mary A. Rutherford, Bernhard Preim, Bernhard Kainz, M. Eduard Gröller
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	—	`ed.`	Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers RAMBO+HVSMR@MICCAI Maria A. Zuluaga, Kanwal K. Bhatia, Bernhard Kainz, Mehdi Hedjazi Moghari, Danielle F. Pace
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
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`	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`	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`	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	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	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	—	`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
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	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`	Interactive Volumetry Of Liver Ablation Zones. CoRR Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche
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`	RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. EMBC Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Xiaojun Chen, Alexander Hann, Pedro Boechat, Wei Yu, Bernd Freisleben, Tuomas Alhonnoro, Mika Pollari, Michael Moche, Dieter Schmalstieg
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	—	`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`	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	—	`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	J	`jnl`	On-the-fly generation and rendering of infinite cities on the GPU. Comput. Graph. Forum Markus Steinberger, Michael Kenzel, Bernhard Kainz, Peter Wonka, Dieter Schmalstieg
2014	J	`jnl`	Parallel Irradiance Caching for Interactive Monte-Carlo Direct Volume Rendering. Comput. Graph. Forum Rostislav Khlebnikov, Philip Voglreiter, Markus Steinberger, Bernhard Kainz, Dieter Schmalstieg
2014	J	`jnl`	Parallel generation of architecture on the GPU. Comput. Graph. Forum Markus Steinberger, Michael Kenzel, Bernhard Kainz, Joerg H. Mueller, Peter Wonka, Dieter Schmalstieg
2013	J	`jnl`	Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data. IEEE Trans. Vis. Comput. Graph. Rostislav Khlebnikov, Bernhard Kainz, Markus Steinberger, Dieter Schmalstieg
2012	—	`conf`	Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations. CLIP Bernhard Kerbl, Philip Voglreiter, Rostislav Khlebnikov, Dieter Schmalstieg, Daniel Seider, Michael Moche, Philipp Stiegler, Rupert H. Portugaller, Bernhard Kainz
2012	B	`conf`	OmniKinect: real-time dense volumetric data acquisition and applications. VRST Bernhard Kainz, Stefan Hauswiesner, Gerhard Reitmayr, Markus Steinberger, Raphaël Grasset, Lukas Gruber, Eduardo E. Veas, Denis Kalkofen, Hartmut Seichter, Dieter Schmalstieg
2012	J	`jnl`	Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data. Comput. Graph. Forum Rostislav Khlebnikov, Bernhard Kainz, Markus Steinberger, Marc Streit, Dieter Schmalstieg
2012	J	`jnl`	Ray prioritization using stylization and visual saliency. Comput. Graph. Markus Steinberger, Bernhard Kainz, Stefan Hauswiesner, Rostislav Khlebnikov, Denis Kalkofen, Dieter Schmalstieg
2012	J	`jnl`	Softshell: dynamic scheduling on GPUs. ACM Trans. Graph. Markus Steinberger, Bernhard Kainz, Bernhard Kerbl, Stefan Hauswiesner, Michael Kenzel, Dieter Schmalstieg
2012	—	`conf`	Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes. MeshMed Philip Voglreiter, Markus Steinberger, Dieter Schmalstieg, Bernhard Kainz
2011	J	`jnl`	Crepuscular Rays for Tumor Accessibility Planning. IEEE Trans. Vis. Comput. Graph. Rostislav Khlebnikov, Bernhard Kainz, Judith Muehl, Dieter Schmalstieg
2011	—	`conf`	GPU Based On-the-fly Light Emission-absorption Approximation for Direct Multi-volume Rendering. Eurographics (Posters) Rostislav Khlebnikov, Bernhard Kainz, Bernhard Roth, Judith Muehl, Dieter Schmalstieg
2011	—	`—`	Ray-based Image Generation for Advanced Medical Applications. Bernhard Kainz
2011	—	`ch.`	Strahlenbasierte Algorithmen für die medizinische Visualisierung vielfacher volumetrischer Datensätze. Ausgezeichnete Informatikdissertationen Bernhard Kainz
2011	—	`conf`	Stylization-based ray prioritization for guaranteed frame rates. NPAR Bernhard Kainz, Markus Steinberger, Stefan Hauswiesner, Rostislav Khlebnikov, Dieter Schmalstieg
2011	—	`conf`	Using perceptual features to prioritize ray-based image generation. SI3D Bernhard Kainz, Markus Steinberger, Stefan Hauswiesner, Rostislav Khlebnikov, Denis Kalkofen, Dieter Schmalstieg
2011	—	`conf`	Volume Visualization in the Clinical Practice. AE-CAI Bernhard Kainz, Rupert H. Portugaller, Daniel Seider, Michael Moche, Philipp Stiegler, Dieter Schmalstieg
2010	—	`conf`	Vessel Segmentation for Ablation Treatment Planning and Simulation. MICCAI (1) Tuomas Alhonnoro, Mika Pollari, Mikko Lilja, Ronan Flanagan, Bernhard Kainz, Judith Muehl, Ursula Mayrhauser, Horst R. Portugaller, Philipp Stiegler, Karlheinz Tscheliessnigg
2009	J	`jnl`	In vivo interactive visualization of four-dimensional blood flow patterns. Vis. Comput. Bernhard Kainz, Ursula Reiter, Gert Reiter, Dieter Schmalstieg
2009	J	`jnl`	Ray casting of multiple volumetric datasets with polyhedral boundaries on manycore GPUs. ACM Trans. Graph. Bernhard Kainz, Markus Grabner, Alexander Bornik, Stefan Hauswiesner, Judith Muehl, Dieter Schmalstieg
2008	—	`conf`	Fast Marker Based C-Arm Pose Estimation. MICCAI (2) Bernhard Kainz, Markus Grabner, Matthias Rüther