Julia A. Schnabel

356 papers A* 2A 6B 7C 1Journal 161Unranked 157

Year	Rank	Type	Title / 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	—	`conf`	Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation. Bildverarbeitung für die Medizin Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
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`	Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Anal. Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
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`	LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex. CoRR Donnate Hooft, Stefan M. Fischer, Cosmin Bercea, Jan C. Peeken, Julia A. Schnabel
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`	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`	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`	The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging. CoRR Sameer Ambekar, Reza Nasirigerdeh, Peter J. Schuffler, Lina Felsner, Daniel Lang, Julia A. Schnabel
2026	J	`jnl`	Uncertainty-guided Generation of Dark-field Radiographs. CoRR Lina Felsner, Henriette Bast, Tina Dorosti, Florian Schaff, Franz Pfeiffer, Daniela Pfeiffer, Julia A. Schnabel
2025	—	`conf`	CellPilot: A Unified Approach to Automatic and Interactive Segmentation in Histopathology. ISBI Philipp Endres, Valentin Koch, Julia A. Schnabel, Carsten Marr
2025	J	`jnl`	Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification. CoRR Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel
2025	J	`jnl`	Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. CoRR Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	J	`jnl`	Guest Editorial: Special Issue on Foundation Models in Medical Imaging. IEEE J. Biomed. Health Informatics Jiong Zhang, Huazhu Fu, Caroline Petitjean, Xiaoxiao Li, Julia A. Schnabel
2025	J	`jnl`	Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation. CoRR Sameer Ambekar, Daniel M. Lang, Julia A. Schnabel
2025	—	`conf`	INR Meets Multi-contrast MRI Reconstruction. GRAIL/RIME@MICCAI Natascha Niessen, Carolin M. Pirkl, Ana Beatriz Solana, Hannah Eichhorn, Veronika Spieker, Wenqi Huang, Tim Sprenger, Marion I. Menzel, Julia A. Schnabel
2025	—	`conf`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. MICCAI (7) Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. CoRR Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. CoRR Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	J	`jnl`	Learning to reason about rare diseases through retrieval-augmented agents. CoRR Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M. Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2025	—	`conf`	Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. MICCAI (13) Tomás Chobola, Julia A. Schnabel, Tingying Peng
2025	J	`jnl`	Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. CoRR Tomás Chobola, Julia A. Schnabel, Tingying Peng
2025	J	`jnl`	MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging. CoRR Xingyu Zhang, Anna Reithmeir, Fryderyk Victor Kögl, Rickmer Braren, Julia A. Schnabel, Daniel M. Lang
2025	J	`jnl`	Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning. CoRR Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Lina Felsner, Kilian Weiss, Christine Preibisch, Julia A. Schnabel
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	J	`jnl`	No Data? No Problem: Robust Vision-Tabular Learning with Missing Values. CoRR Marta Hasny, Laura Daza, Keno Bressem, Maxime Di Folco, Julia A. Schnabel
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	J	`jnl`	Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation. CoRR Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel
2025	J	`jnl`	Semantic Alignment of Unimodal Medical Text and Vision Representations. CoRR Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea, Julia A. Schnabel
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`	TGV: Tabular Data-Guided Learning of Visual Cardiac Representations. CoRR Marta Hasny, Maxime Di Folco, Keno Bressem, Julia A. Schnabel
2025	—	`conf`	Temporal Neural Cellular Automata: Application to Modeling of Contrast Enhancement in Breast MRI. MICCAI (4) Daniel Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel
2025	J	`jnl`	Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. CoRR Daniel M. Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel
2025	J	`jnl`	TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks. CoRR Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Cosmin I. Bercea, Matthew Nyflot, Lina Felsner, Julia A. Schnabel, Jan C. Peeken
2024	J	`jnl`	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2024	J	`jnl`	A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. CoRR Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2024	—	`conf`	A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. WBIR Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2024	C	`conf`	Advancing Neonatal Care: A Deep Learning Approach for Non-Contact Heart Rate Monitoring. HealthCom Alex Grafton, Alejandra Castelblanco, Joana M. Warnecke, Lynn Thomson, Benjamin Schubert, Anne Hilgendorff, Julia A. Schnabel, Joan Lasenby, Kathryn Beardsall
2024	J	`jnl`	CellPilot: A unified approach to automatic and interactive segmentation in histopathology. CoRR Philipp Endres, Valentin Koch, Julia A. Schnabel, Carsten Marr
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	—	`conf`	Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. MICCAI (2) Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer
2024	J	`jnl`	Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. CoRR Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer
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`	Denoising Diffusion Models for Anomaly Localization in Medical Images. CoRR Cosmin I. Bercea, Philippe C. Cattin, Julia A. Schnabel, Julia Wolleb
2024	—	`conf`	DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers. ToothFairy/3DTeethLand/STS@MICCAI Laura Daza, Julia A. Schnabel
2024	—	`conf`	Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound. ASMUS@MICCAI Hanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika A. M. Zimmer, Cosmin I. Bercea
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`	DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. MICCAI (12) Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024	J	`jnl`	DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. CoRR Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024	—	`conf`	Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. Deep-Breath@MICCAI Richard Osuala, Daniel Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
2024	J	`jnl`	Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data. CoRR Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
2024	—	`conf`	Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. ECCV (86) Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
2024	J	`jnl`	Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. CoRR Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
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`	General Vision Encoder Features as Guidance in Medical Image Registration. CoRR Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rückert, Julia A. Schnabel, Veronika A. Zimmer
2024	—	`conf`	Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification? GRAIL@MICCAI Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024	J	`jnl`	Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? CoRR Johannes Kiechle, Daniel M. Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel
2024	—	`conf`	Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation. Bildverarbeitung für die Medizin Josh Stein, Maxime Di Folco, Julia A. Schnabel
2024	—	`conf`	Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. MICCAI (10) Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel
2024	J	`jnl`	Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. CoRR Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
2024	J	`jnl`	LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. CoRR Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur
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	—	`conf`	Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. ASMUS@MICCAI Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024	J	`jnl`	Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. CoRR Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024	—	`conf`	Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. ISBI Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024	J	`jnl`	Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024	—	`ed.`	Machine Learning for Multimodal Healthcare Data - First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings ML4MHD Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle
2024	J	`jnl`	Machine Unlearning for Medical Imaging. CoRR Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios Kaissis
2024	J	`jnl`	Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge. CoRR Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024	—	`conf`	MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. SASHIMI@MICCAI Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI. CoRR Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I MICCAI (1) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II MICCAI (2) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III MICCAI (3) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV MICCAI (4) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX MICCAI (9) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V MICCAI (5) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI MICCAI (6) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII MICCAI (7) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII MICCAI (8) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X MICCAI (10) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI MICCAI (11) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII MICCAI (12) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
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`	On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. DGM4MICCAI@MICCAI Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024	J	`jnl`	On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. CoRR Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024	—	`conf`	Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. MICCAI (7) Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, Julia A. Schnabel
2024	—	`conf`	Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. MICCAI (9) Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024	J	`jnl`	Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. CoRR Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024	J	`jnl`	Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation. CoRR Jack Highton, Quok Zong Chong, Samuel Finestone, Arian Beqiri, Julia A. Schnabel, Kanwal K. Bhatia
2024	—	`conf`	Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn. Bildverarbeitung für die Medizin Varsha Raveendran, Veronika Spieker, Rickmer F. Braren, Dimitrios C. Karampinos, Veronika A. Zimmer, Julia A. Schnabel
2024	J	`jnl`	Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations. CoRR Sameer Ambekar, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
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`	Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir
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	J	`jnl`	Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
2024	—	`conf`	Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
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`	UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology. CoRR Valentin Koch, Sabine Bauer, Valerio Lupperger, Michael Joner, Heribert Schunkert, Julia A. Schnabel, Moritz von Scheidt, Carsten Marr
2024	—	`conf`	Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. ISBI Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel
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	—	`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
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	J	`jnl`	Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. CoRR Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
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	—	`conf`	Colorimetric Sensor Reading and Illumination Correction via Multi-Task Deep-Learning. EMBC Alejandra Castelblanco, Giusy Matzeu, Elisabetta Ruggeri, Fiorenzo G. Omenetto, Anne Hilgendorff, Julia A. Schnabel, Benjamin Schubert
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	—	`conf`	Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification. MICAD Jack Highton, Quok Zong Chong, Richard Crawley, Julia A. Schnabel, Kanwal K. Bhatia
2023	—	`conf`	F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches. ISBI Jeronimo Carvajal Maldonado, Lorenz Lamm, Ye Liu, Yu Liu, Ricardo D. Righetto, Julia A. Schnabel, Tingying Peng
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	J	`jnl`	Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather
2023	—	`conf`	Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. MIDL Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023	—	`conf`	ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. DGM4MICCAI Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel
2023	J	`jnl`	ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. CoRR Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel
2023	J	`jnl`	Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation. CoRR Josh Stein, Maxime Di Folco, Julia A. Schnabel
2023	J	`jnl`	Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks. CoRR Anna Reithmeir, Julia A. Schnabel, Veronika A. Zimmer
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	—	`conf`	Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
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`	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	—	`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	—	`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	—	`conf`	Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI. STACOM@MICCAI Josh Stein, Maxime Di Folco, Julia A. Schnabel
2023	J	`jnl`	Sparse annotation strategies for segmentation of short axis cardiac MRI. CoRR Josh Stein, Maxime Di Folco, Julia A. Schnabel
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	—	`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 Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2022	J	`jnl`	A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
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	J	`jnl`	AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information. Medical Image Anal. Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
2022	—	`conf`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	J	`jnl`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
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`	Evaluation of a Linear Measurement Tool in Virtual Reality for Assessment of Multimodality Imaging Data - A Phantom Study. J. Imaging Natasha Stephenson, Kuberan Pushparajah, Gavin Wheeler, Shujie Deng, Julia A. Schnabel, John M. Simpson
2022	J	`jnl`	Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review. Medical Image Anal. Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
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`	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`	What do we learn? Debunking the Myth of Unsupervised Outlier Detection. CoRR Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
2021	J	`jnl`	A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures. J. Imaging Shujie Deng, Gavin Wheeler, Nicolas Toussaint, Lindsay Munroe, Suryava Bhattacharya, Gina Sajith, Ei Lin, Eeshar Singh, Ka Yee Kelly Chu, Saleha Kabir, Kuberan Pushparajah, John M. Simpson, Julia A. Schnabel, Alberto Gómez
2021	J	`jnl`	AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs. CoRR Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
2021	—	`conf`	AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. MICCAI (6) Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
2021	—	`conf`	Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning. MIUA Lindsay Munroe, Gina Sajith, Ei Lin, Surjava Bhattacharya, Kuberan Pushparajah, John M. Simpson, Julia A. Schnabel, Gavin Wheeler, Alberto Gómez, Shujie Deng
2021	J	`jnl`	Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. CoRR Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker
2021	—	`conf`	Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI. ISBI Emily Chan, Matt Kelly, Julia A. Schnabel
2021	—	`ed.`	Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings IPMI Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen
2021	J	`jnl`	Is MC Dropout Bayesian? CoRR Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker
2021	J	`jnl`	Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review. CoRR Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
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`	Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. ISBI Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	—	`ed.`	Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings PRIME@MICCAI Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia A. Schnabel
2021	—	`conf`	Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	J	`jnl`	Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	—	`conf`	The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. iMIMIC/TDA4MedicalData@MICCAI Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	J	`jnl`	The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. CoRR Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	—	`conf`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	J	`jnl`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	—	`conf`	The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. PRIME@MICCAI Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	J	`jnl`	The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. CoRR Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2020	—	`conf`	A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. ASMUS/PIPPI@MICCAI Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel
2020	J	`jnl`	AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information. CoRR Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Bayesian Sampling Bias Correction: Training with the Right Loss Function. CoRR Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker
2020	—	`conf`	Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. MIUA Cesare Magnetti, Veronika A. M. Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Joseph V. Hajnal, Julia A. Schnabel, Alberto Gómez
2020	J	`jnl`	Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2020	J	`jnl`	Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong
2020	J	`jnl`	Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel
2020	J	`jnl`	Image-Based Artefact Removal in Laser Scanning Microscopy. IEEE Trans. Biomed. Eng. Bartlomiej W. Papiez, Bostjan Markelc, Graham Brown, Ruth J. Muschel, Michael Brady, Julia A. Schnabel
2020	—	`conf`	Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. MICCAI (4) Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. CoRR Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Model-Based and Data-Driven Strategies in Medical Image Computing. Proc. IEEE Daniel Rueckert, Julia A. Schnabel
2020	—	`conf`	Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. CoRR Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods. CoRR Simona Treivase, Alberto Gómez, Jacqueline Matthew, Emily Skelton, Julia A. Schnabel, Nicolas Toussaint
2019	J	`jnl`	A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
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	—	`conf`	Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors. MLMIR@MICCAI Laura Dal Toso, Elisabeth Pfaehler, Ronald Boellaard, Julia A. Schnabel, Paul K. Marsden
2019	J	`jnl`	Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
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	—	`conf`	Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
2019	J	`jnl`	Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
2019	—	`conf`	Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Global and Local Interpretability for Cardiac MRI Classification. CoRR James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	IJCARS-MICCAI 2018 special issue. Int. J. Comput. Assist. Radiol. Surg. Gabor Fichtinger, Julia A. Schnabel, Christos Davatzikos, Alejandro F. Frangi, Carlos Alberola-López
2019	—	`conf`	Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. MLMIR@MICCAI Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou P. M. van Poppel, Emily Skelton, Jackie Matthews, Julia A. Schnabel
2019	—	`conf`	Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Model-Based and Data-Driven Strategies in Medical Image Computing. CoRR Daniel Rueckert, Julia A. Schnabel
2019	J	`jnl`	Patch-based lung ventilation estimation using multi-layer supervoxels. Comput. Medical Imaging Graph. Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez
2019	J	`jnl`	Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. Esther Puyol-Antón, Bram Ruijsink, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King
2019	J	`jnl`	Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. IEEE Trans. Medical Imaging Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Graham Brown, Ruth J. Muschel, J. Michael Brady, Vicente Grau, Julia A. Schnabel
2019	J	`jnl`	Special issue on MICCAI 2018. Medical Image Anal. Julia A. Schnabel, Christos Davatzikos, Gabor Fichtinger, Alejandro F. Frangi, Carlos Alberola-López
2019	—	`conf`	Synthesising Images and Labels Between MR Sequence Types with CycleGAN. DART/MIL3ID@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel
2019	—	`conf`	Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. MICCAI (5) Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel
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
2018	J	`jnl`	A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. IEEE Trans. Medical Imaging Thais Roque, Laurent Risser, Veerle Kersemans, Sean Smart, Danny Allen, Paul Kinchesh, Stuart Gilchrist, Ana L. Gomes, Julia A. Schnabel, Michael A. Chappell
2018	J	`jnl`	A level-set approach to joint image segmentation and registration with application to CT lung imaging. Comput. Medical Imaging Graph. Piotr Swierczynski, Bartlomiej W. Papiez, Julia A. Schnabel, Colin B. Macdonald
2018	—	`conf`	Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel
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 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`	BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. MICCAI (2) Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori
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`	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`	Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. Computer-Aided Diagnosis Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
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 Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation. WBIR Bartlomiej W. Papiez, Daniel R. McGowan, Michael Skwarski, Geoff S. Higgins, Julia A. Schnabel, J. Michael Brady
2018	—	`conf`	Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. ISBI Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair
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 Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
2018	J	`jnl`	Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2018	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I MICCAI (1) Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
2018	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II MICCAI (2) Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
2018	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III MICCAI (3) Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
2018	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV MICCAI (4) Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
2018	—	`conf`	Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. DATRA/PIPPI@MICCAI Veronika A. Zimmer, Alberto Gómez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta Pereira, Milou P. M. van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel
2018	J	`jnl`	Oversegmenting Graphs. CoRR Alberto Gómez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel
2018	—	`conf`	Regional lung ventilation estimation based on supervoxel tracking. Image-Guided Procedures Adam Szmul, Bartlomiej W. Papiez, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau
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
2018	—	`conf`	Weakly Supervised Localisation for Fetal Ultrasound Images. DLMIA/ML-CDS@MICCAI Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel
2018	J	`jnl`	Weakly Supervised Localisation for Fetal Ultrasound Images. CoRR Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel
2018	—	`conf`	XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. RAMBO+BIA+TIA@MICCAI Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez
2017	J	`jnl`	Editorial for the special issue of "Computational methods for molecular imaging" for computerized medical imaging and graphics. Comput. Medical Imaging Graph. Kuangyu Shi, Fei Gao, Nassir Navab, Julia A. Schnabel, Pengcheng Shi, Sibylle Ilse Ziegler
2017	J	`jnl`	Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. CoRR Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Ruth J. Muschel, Vicente Grau, Julia A. Schnabel
2017	—	`conf`	Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points. FIFI/OMIA@MICCAI Alberto Gómez, Kanwal K. Bhatia, Sarjana Tharin, James Housden, Nicolas Toussaint, Julia A. Schnabel
2017	—	`conf`	Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. Computer-Aided Diagnosis Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
2017	—	`conf`	Mass Transportation for Deformable Image Registration with Application to Lung CT. CMMI/RAMBO/SWITCH@MICCAI Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel
2017	—	`conf`	Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. STACOM@MICCAI Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King
2017	J	`jnl`	Supervoxels for graph cuts-based deformable image registration using guided image filtering. J. Electronic Imaging Adam Szmul, Bartlomiej W. Papiez, Andre Hallack, Vicente Grau, Julia A. Schnabel
2017	—	`conf`	TBS: Tensor-Based Supervoxels for Unfolding the Heart. MICCAI (1) Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori
2016	—	`conf`	A DCE-MRI imaging-based model for simulation of vascular tumour growth. EMBC Thais Roque, Veerle Kersemans, Sean Smart, Danny Allen, Julia A. Schnabel, Michael A. Chappell
2016	J	`jnl`	Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Anal. Julia A. Schnabel, Mattias P. Heinrich, Bartlomiej W. Papiez, J. Michael Brady
2016	J	`jnl`	Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Anal. Mattias P. Heinrich, Ivor J. A. Simpson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel
2016	—	`conf`	Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering. CVPR Workshops Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau
2016	—	`conf`	Non-local Graph-Based Regularization for Deformable Image Registration. MCV/BAMBI@MICCAI Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel
2016	J	`jnl`	Oncological image analysis. Medical Image Anal. J. Michael Brady, Ralph Highnam, Benjamin Irving, Julia A. Schnabel
2016	J	`jnl`	Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. CoRR Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, J. Michael Brady, Julia A. Schnabel
2016	J	`jnl`	Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Anal. Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, Mike Brady, Julia A. Schnabel
2016	—	`conf`	Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. ISBI Siying Wang, Maria Kuklisova-Murgasova, Joseph V. Hajnal, Christian Ledig, Julia A. Schnabel
2016	—	`conf`	Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors. CVPR Workshops Thais Roque, Bartlomiej W. Papiez, Veerle Kersemans, Sean Smart, Danny Allen, Michael A. Chappell, Julia A. Schnabel
2015	—	`conf`	Complex Motion Modelling in Cancer Imaging. Bildverarbeitung für die Medizin Julia A. Schnabel
2015	—	`conf`	Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptors. Patch-MI@MICCAI Andre Hallack, Bartlomiej W. Papiez, James M. Wilson, Lai Mun Wang, Tim Maughan, Mark J. Gooding, Julia A. Schnabel
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	—	`conf`	Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel
2015	—	`conf`	Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. MICCAI (3) Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel
2015	J	`jnl`	Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Anal. Ivor J. A. Simpson, Manuel Jorge Cardoso, Marc Modat, David M. Cash, Mark W. Woolrich, Jesper L. R. Andersson, Julia A. Schnabel, Sébastien Ourselin
2014	—	`conf`	A New Similarity Metric for Groupwise Registration of Variable Flip Angle Sequences for Improved T 10 Estimation in DCE-MRI. WBIR Andre Hallack, Michael A. Chappell, Mark J. Gooding, Julia A. Schnabel
2014	—	`conf`	A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT. ABDI@MICCAI Elina Naydenova, Amalia Cifor, Esme J. Hill, Jamie Franklin, Ricky A. Sharma, Julia A. Schnabel
2014	—	`conf`	An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. BAMBI Monica Enescu, Mattias P. Heinrich, Esme J. Hill, Ricky A. Sharma, Michael A. Chappell, Julia A. Schnabel
2014	J	`jnl`	An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel
2014	—	`conf`	Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. MICCAI (1) Benjamin Irving, Amalia Cifor, Bartlomiej W. Papiez, Jamie Franklin, Ewan M. Anderson, Michael Brady, Julia A. Schnabel
2014	—	`conf`	Combined PET-MR Brain Registration to Discriminate between Alzheimer's Disease and Healthy Controls. WBIR Liam Cattell, Julia A. Schnabel, Jérôme Declerck, Chloe Hutton
2014	—	`conf`	Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor. WBIR Bartlomiej W. Papiez, Thomas Tapmeier, Mattias P. Heinrich, Ruth J. Muschel, Julia A. Schnabel
2014	—	`conf`	Multispectral Image Registration Based on Local Canonical Correlation Analysis. MICCAI (1) Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels
2014	—	`conf`	Non-parametric Discrete Registration with Convex Optimisation. WBIR Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels
2014	—	`ch.`	Registration and Segmentation in Medical Imaging. Registration and Recognition in Images and Videos Daniel Rueckert, Julia A. Schnabel
2014	J	`jnl`	Spatio-temporal pharmacokinetic model based registration of 4D PET neuroimaging data. NeuroImage Jieqing Jiao, Graham E. Searle, Andri C. Tziortzi, Cristian A. Salinas, Roger N. Gunn, Julia A. Schnabel
2013	—	`conf`	A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration. MICCAI (2) Ivor J. A. Simpson, Mark William Woolrich, Manuel Jorge Cardoso, David M. Cash, Marc Modat, Julia A. Schnabel, Sébastien Ourselin
2013	—	`conf`	A Generalised Spatio-Temporal Registration Framework for Dynamic PET Data: Application to Neuroreceptor Imaging. MICCAI (1) Jieqing Jiao, Julia A. Schnabel, Roger N. Gunn
2013	—	`conf`	Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel
2013	—	`conf`	Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. IPMI Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel
2013	J	`jnl`	Ensemble Learning Incorporating Uncertain Registration. IEEE Trans. Medical Imaging Ivor J. A. Simpson, Mark William Woolrich, Jesper L. R. Andersson, Adrian R. Groves, Julia A. Schnabel
2013	J	`jnl`	Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images. IEEE Trans. Medical Imaging Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
2013	J	`jnl`	MRF-Based Deformable Registration and Ventilation Estimation of Lung CT. IEEE Trans. Medical Imaging Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2013	—	`conf`	Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI. Abdominal Imaging Benjamin Irving, Lydia Tanner, Monica Enescu, Manav Bhushan, Esme J. Hill, Jamie Franklin, Ewan M. Anderson, Ricky A. Sharma, Julia A. Schnabel, Michael Brady
2013	J	`jnl`	Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions. Medical Image Anal. Laurent Risser, François-Xavier Vialard, Habib Y. Baluwala, Julia A. Schnabel
2013	—	`conf`	Realistic biomechanical model of a cancerous breast for the registration of prone to supine deformations. EMBC Carolina Wessel, Julia A. Schnabel, Michael Brady
2013	J	`jnl`	Registration of 3D fetal neurosonography and MRI. Medical Image Anal. Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel
2013	—	`conf`	Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel
2013	—	`conf`	The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. MICCAI (1) Manav Bhushan, Julia A. Schnabel, Michael A. Chappell, Fergus Gleeson, Mark Anderson, Jamie Franklin, Michael Brady, Mark Jenkinson
2013	—	`conf`	Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities. MICCAI (1) Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel
2013	B	`conf`	pCT derived arterial input function for improved pharmacokinetic analysis of longitudinal dceMRI for colorectal cancer. Image Processing Monica Enescu, Manav Bhushan, Esme J. Hill, Jamie Franklin, Ewan M. Anderson, Ricky A. Sharma, Julia A. Schnabel
2012	—	`conf`	A probabilistic non-rigid registration framework using local noise estimates. ISBI Ivor J. A. Simpson, Mark William Woolrich, Jesper L. R. Andersson, Adrian R. Groves, Julia A. Schnabel
2012	B	`conf`	Biomedical Cancer Imaging Analysis. CBMS Julia A. Schnabel
2012	—	`conf`	Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling. MICCAI (3) Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2012	—	`conf`	Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images. ISBI Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
2012	B	`conf`	Joint estimation of subject motion and tracer kinetic parameters of dynamic PET data in an EM framework. Image Processing Jieqing Jiao, Cristian A. Salinas, Graham E. Searle, Roger N. Gunn, Julia A. Schnabel
2012	J	`jnl`	MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Anal. Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, Michael Brady, Julia A. Schnabel
2012	—	`conf`	Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel
2012	J	`jnl`	Probabilistic inference of regularisation in non-rigid registration. NeuroImage Ivor J. A. Simpson, Julia A. Schnabel, Adrian R. Groves, Jesper L. R. Andersson, Mark William Woolrich
2012	J	`jnl`	Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Medical Image Anal. Maria Kuklisova-Murgasova, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, Julia A. Schnabel
2012	—	`conf`	Registration of 3D Fetal Brain US and MRI. MICCAI (2) Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, J. Alison Noble, Julia A. Schnabel
2012	—	`conf`	Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data. STIA Jieqing Jiao, Graham E. Searle, Andri C. Tziortzi, Cristian A. Salinas, Roger N. Gunn, Julia A. Schnabel
2012	—	`conf`	Textural mutual information based on cluster trees for multimodal deformable registration. ISBI Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2012	—	`conf`	Towards 3D registration of fetal brain MRI and ultrasound. ISBI Maria Kuklisova-Murgasova, Gerardine Quaghebeur, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel
2011	—	`conf`	Brain Extraction Methods for Neonates. MIUA Ziyue Wu, Maria Murgasova, Andreas Buchmann, Michael von Rhein, Julia A. Schnabel
2011	—	`conf`	Elastic registration of chest CT images with log un-biased deformations and rigidity constraint. ISBI Habib Y. Baluwala, Kinda Anan Saddi, Julia A. Schnabel
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
2011	—	`conf`	Fusion of perpendicular anisotropic MRI sequences. ISBI J. Wenjun Chi, Michael Brady, Niall Moore, Julia A. Schnabel
2011	—	`conf`	Longitudinal Brain MRI Analysis with Uncertain Registration. MICCAI (2) Ivor J. A. Simpson, Mark William Woolrich, Adrian R. Groves, Julia A. Schnabel
2011	—	`conf`	Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson
2011	—	`conf`	Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. MICCAI (2) Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, J. Michael Brady, Julia A. Schnabel
2011	—	`conf`	Non-rigid image registration through efficient discrete optimization. MIUA Mattias P. Heinrich, Mark Jenkinson, J. Michael Brady, Julia A. Schnabel
2011	J	`jnl`	On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences. Int. J. Biomed. Imaging Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne E. Trefethen, Vicente Grau
2011	—	`conf`	Probabilistic Segmentation Propagation from Uncertainty in Registration. MIUA Ivor J. A. Simpson, Mark W. Woolrich, Julia A. Schnabel
2011	—	`conf`	Segmentation of the bladder wall using coupled level set methods. ISBI J. Wenjun Chi, Michael Brady, Niall Moore, Julia A. Schnabel
2010	—	`conf`	A Clustering Method for the Extraction of Microcalcifications Using Epipolar Curves in Digital Breast Tomosynthesis. Digital Mammography / IWDM Candy P. S. Ho, Christopher E. Tromans, Julia A. Schnabel, Michael Brady
2010	—	`conf`	Breast Image Registration by Combining Finite Elements and Free-Form Deformations. Digital Mammography / IWDM Angela W. C. Lee, Julia A. Schnabel, Vijay Rajagopal, Poul M. F. Nielsen, Martyn P. Nash
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`	Microcalcification Detection in Digital Breast Tomosynthesis Using an Epipolar Curve Approach. Digital Mammography / IWDM Candy P. S. Ho, Christopher E. Tromans, Julia A. Schnabel, Michael Brady
2010	—	`conf`	The reconstruction of microcalcification clusters in digital breast tomosynthesis. Computer-Aided Diagnosis Candy P. S. Ho, Christopher E. Tromans, Julia A. Schnabel, Michael Brady
2010	—	`conf`	Towards More Realistic Biomechanical Modelling of Tumours under Mammographic Compressions. Digital Mammography / IWDM Carolina Wessel, Julia A. Schnabel, Michael Brady
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	B	`conf`	Overlap invariance of cumulative residual entropy measures for multimodal image alignment. Image Processing Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes
2008	J	`jnl`	Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images. NeuroImage Oscar Camara, Julia A. Schnabel, Gerard R. Ridgway, William R. Crum, Abdel Douiri, Rachael I. Scahill, Derek L. G. Hill, Nick C. Fox
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	J	`jnl`	Consistency of parametric registration in serial MRI studies of brain tumor progression. Int. J. Comput. Assist. Radiol. Surg. Andreas Mang, Julia A. Schnabel, William R. Crum, Marc Modat, Oscar Camara-Rey, Christoph Palm, Gisele Brasil-Caseiras, Hans Rolf Jäger, Sébastien Ourselin, Thorsten M. Buzug, David J. Hawkes
2008	B	`conf`	Fusion of rat brain histology and MRI using weighted multi-image mutual information. Image Processing Christoph Palm, Graeme P. Penney, William R. Crum, Julia A. Schnabel, Uwe Pietrzyk, David J. Hawkes
2008	—	`conf`	Revisiting overlap invariance in medical image alignment. CVPR Workshops Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes
2007	J	`jnl`	A New Validation Method for X-ray Mammogram Registration Algorithms Using a Projection Model of Breast X-ray Compression. IEEE Trans. Medical Imaging John H. Hipwell, Christine Tanner, William R. Crum, Julia A. Schnabel, David J. Hawkes
2007	—	`conf`	Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data. MICCAI (2) Oscar Camara, Rachael I. Scahill, Julia A. Schnabel, William R. Crum, Gerard R. Ridgway, Derek L. G. Hill, Nick C. Fox
2007	—	`conf`	Registration of Rcbv and Adc Maps with Structural and Physiological Mr Images in Glioma Patients: Study and Validation. ISBI Andreas Mang, Oscar Camara, Gisele Brasil-Caseiras, William R. Crum, Julia A. Schnabel, Thorsten M. Buzug, Jeremy Rees, John S. Thornton, Hans Rolf Jäger, David J. Hawkes
2006	—	`conf`	Correction of misaligned slices in multi-slice MR cardiac examinations by using slice-to-volume registration. ISBI Adam G. Chandler, Richard J. Pinder, Thomas Netsch, Julia A. Schnabel, David J. Hawkes, Derek L. G. Hill, Reza Razavi
2006	J	`jnl`	Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods. IEEE Trans. Medical Imaging Oscar Camara, Martin Schweiger, Rachael I. Scahill, William R. Crum, Beatrix I. Sneller, Julia A. Schnabel, Gerard R. Ridgway, David M. Cash, Derek L. G. Hill, Nick C. Fox
2006	—	`conf`	Simulation of Local and Global Atrophy in Alzheimer's Disease Studies. MICCAI (2) Oscar Camara-Rey, Martin Schweiger, Rachael I. Scahill, William R. Crum, Julia A. Schnabel, Derek L. G. Hill, Nick C. Fox
2005	—	`conf`	An Inverse Problem Approach to the Estimation of Volume Change. MICCAI (2) Martin Schweiger, Oscar Camara-Rey, William R. Crum, Emma Lewis, Julia A. Schnabel, Simon R. Arridge, Derek L. G. Hill, Nick C. Fox
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	B	`conf`	Slice-to-volume registration using mutual information between probabilistic image classifications. Image Processing Adam Grant Chandler, Thomas Netsch, Chris A. Cocosco, Julia A. Schnabel, David J. Hawkes
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	J	`jnl`	Validation of Non-Rigid Image Registration sing Finite Element Methods: Application to Breast MR Images. IEEE Trans. Medical Imaging Julia A. Schnabel, Christine Tanner, Andy D. Castellano-Smith, Andreas Degenhard, Martin O. Leach, D. Rodney Hose, Derek L. G. Hill, David J. Hawkes
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`	Myocardial Delineation via Registration in a Polar Coordinate System. MICCAI (1) Nicholas M. I. Noble, Derek L. G. Hill, Marcel Breeuwer, Julia A. Schnabel, David J. Hawkes, Frans A. Gerritsen, Reza Razavi
2002	J	`jnl`	Quantification of Small Cerebral Ventricular Volume Changes in Treated Growth Hormone Patients using Non-Rigid Registration. IEEE Trans. Medical Imaging Mark Holden, Julia A. Schnabel, Derek L. G. Hill
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
2002	—	`conf`	Validation of Nonrigid Registration of Contrast-Enhanced MR Mammography Using Finite Element Methods. Bildverarbeitung für die Medizin Julia A. Schnabel, Christine Tanner, Andy D. Castellano-Smith, Andreas Degenhard, Carmel Hayes, Martin O. Leach, D. Rodney Hose, Derek L. G. Hill, David J. Hawkes
2002	—	`conf`	Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography. MICCAI (1) Christine Tanner, Julia A. Schnabel, Andreas Degenhard, Andy D. Castellano-Smith, Carmel Hayes, Martin O. Leach, D. Rodney Hose, Derek L. G. Hill, David J. Hawkes
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	A	`conf`	Constructing Patient Specific Models for Correcting Intraoperative Brain Deformation. MICCAI Andy D. Castellano-Smith, Thomas Hartkens, Julia A. Schnabel, D. Rodney Hose, Haiying Liu, Walter A. Hall, Charles L. Truwit, David J. Hawkes, Derek L. G. Hill
2001	A	`conf`	Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration. MICCAI Mark Holden, Julia A. Schnabel, Derek L. G. Hill
2001	—	`conf`	Validation of Non-rigid Registration Using Finite Element Methods. IPMI Julia A. Schnabel, Christine Tanner, Andy D. Castellano-Smith, Martin O. Leach, Carmel Hayes, Andreas Degenhard, D. Rodney Hose, Derek L. G. Hill, David J. 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	J	`jnl`	Active shape focusing. Image Vis. Comput. Julia A. Schnabel, Simon R. Arridge
1999	—	`conf`	Nonlinear Smoothing of MR Images Using Approximate Entropy - A Local Measure of Signal Intensity Irregularity. IPMI Geoffrey J. M. Parker, Julia A. Schnabel, Gareth J. Barker
1997	—	`conf`	Multi-Scale Active Shape Description. Scale-Space Julia A. Schnabel, Simon R. Arridge
1995	A	`conf`	Active Contour Models for Shape Description using Multiscale Differential Invariants. BMVC Julia A. Schnabel, Simon R. Arridge
1994	B	`conf`	Edge detection using the local fractal dimension. CBMS Klaus D. Tönnies, Julia A. Schnabel