The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction - Qiang Ma; Kaili Liang; Liu Li; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2025)

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (Medical Image Anal., 2025)

Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling - Philip Müller; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2025)

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT - Chen Shen; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda; Gen Sato; Tadaaki Miyamoto; Daniel Rueckert; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2024)

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art - Tobias Rueckert; Daniel Rueckert; Christoph Palm (Comput. Biol. Medicine, 2024)

Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929] - Tobias Rueckert; Daniel Rueckert; Christoph Palm (Comput. Biol. Medicine, 2024)

Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine - Eimo Martens; Hans-Ulrich Haase; Giulio Mastella; Andreas Henkel; Christoph Spinner; Franziska Hahn; Congyu Zou; Augusto Fava-Sanches; Julia Allescher; Daniel Heid; Elena Strauss; Melanie-Maria Maier; et al. (Frontiers Digit. Health, 2024)

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (J. Priv. Confidentiality, 2024)

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI - Jiazhen Pan; Manal Hamdi; Wenqi Huang; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (Medical Image Anal., 2024)

Metadata-enhanced contrastive learning from retinal optical coherence tomography images - Robbie Holland; Oliver Leingang; Hrvoje Bogunovic; Sophie Riedl; Lars Fritsche; Toby Prevost; Hendrik P. N. Scholl; Ursula Schmidt-Erfurth; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Martin J. Menten (Medical Image Anal., 2024)

Transformer models in biomedicine - Sumit Madan; Manuel Lentzen; Johannes Brandt; Daniel Rueckert; Martin Hofmann-Apitius; Holger Fröhlich (BMC Medical Informatics Decis. Mak., 2024)

Federated learning is not a cure-all for data ethics - Marieke A. R. Bak; Vince I. Madai; Leo Anthony Celi; Georgios Kaissis; Ronald Cornet; Menno Maris; Daniel Rueckert; Alena Buyx; Stuart McLennan (Nat. Mac. Intell., 2024)

Reconciling privacy and accuracy in AI for medical imaging - Alexander Ziller; Tamara T. Mueller; Simon Stieger; Leonhard F. Feiner; Johannes Brandt; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (Nat. Mac. Intell., 2024)

Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT - Adam Marcus; Grant Mair; Liang Chen; Charles Hallett; Claudia Ghezzou Cuervas-Mons; Dylan Roi; Daniel Rueckert; Paul Bentley (npj Digit. Medicine, 2024)

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art - Ioannis Lagogiannis; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review - Veronika Spieker; Hannah Eichhorn; Kerstin Hammernik; Daniel Rueckert; Christine Preibisch; Dimitrios C. Karampinos; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2024)

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy - Mengyun Qiao; Shuo Wang; Huaqi Qiu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Wenjia Bai (IEEE Trans. Medical Imaging, 2024)

DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning - Qingjie Meng; Wenjia Bai; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (IEEE Trans. Medical Imaging, 2024)

Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers - Hailong He; Johannes C. Paetzold; Nils Börner; Erik Riedel; Stefan Gerl; Simon Schneider; Chiara Fisher; Ivan Ezhov; Suprosanna Shit; Hongwei Li; Daniel Rückert; Juan Aguirre; et al. (IEEE Trans. Medical Imaging, 2024)

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation - Jiazhen Pan; Wenqi Huang; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (IEEE Trans. Medical Imaging, 2024)

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging - Aya Ghoul; Jiazhen Pan; Andreas Lingg; Jens Kübler; Patrick Krumm; Kerstin Hammernik; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (IEEE Trans. Medical Imaging, 2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs - Taha Emre; Arunava Chakravarty; Antoine Rivail; Dmitry A. Lachinov; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; et al. (IEEE Trans. Medical Imaging, 2024)

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes - Arunava Chakravarty; Taha Emre; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Trans. Medical Imaging, 2024)

Editorial - Dong Liang; Daniel Rueckert; Ge Wang; Tolga Çukur; Hengyong Yu (IEEE Trans. Medical Imaging, 2024)

A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations - Tamara T. Mueller; Sophie Starck; Alina Dima; Stephan Wunderlich; Kyriaki-Margarita Bintsi; Kamilia Zaripova; Rickmer Braren; Daniel Rueckert; Anees Kazi; Georgios Kaissis (Trans. Mach. Learn. Res., 2024)

Are Population Graphs Really as Powerful as Believed? - Tamara T. Müller; Sophie Starck; Kyriaki-Margarita Bintsi; Alexander Ziller; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (Trans. Mach. Learn. Res., 2024)

Kernel Normalized Convolutional Networks - Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (Trans. Mach. Learn. Res., 2024)

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging - Patrick T. Haft; Wenqi Huang; Gastão Cruz; Daniel Rueckert; Veronika A. Zimmer; Kerstin Hammernik (Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024, 2024)

Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information - Tobias Rueckert; Maximilian Rieder; Hubertus Feussner; Dirk Wilhelm; Daniel Rueckert; Christoph Palm (Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024, 2024)

ChEX: Interactive Localization and Region Description in Chest X-Rays - Philip Müller; Georgios Kaissis; Daniel Rueckert (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXI, 2024)

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (European Interdisciplinary Cybersecurity Conference, EICC 2024, Xanthi, Greece, June 5-6, 2024, 2024)

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy - Georgios Kaissis; Stefan Kolek; Borja Balle; Jamie Hayes; Daniel Rueckert (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

More is Not Always Better: Exploring Early Repair of DNNs - Andrei Mancu; Thomas Laurent; Franz Rieger; Paolo Arcaini; Fuyuki Ishikawa; Daniel Rueckert (Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024, Lisbon, Portugal, 20 April 2024, 2024)

Intensity-Based 3D Motion Correction for Cardiac MR Images - Nil Stolt Ansó; Vasiliki Sideri-Lampretsa; Maik Dannecker; Daniel Rueckert (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Direct Cardiac Segmentation from Undersampled K-Space using Transformers - Yundi Zhang; Nil Stolt Ansó; Jiazhen Pan; Wenqi Huang; Kerstin Hammernik; Daniel Rueckert (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN - Yunheng Wu; Jiazhen Pan; Shuntaro Kawamura; Masahiro Oda; Yuichiro Hayashi; Takanori Takebe; Daniel Rueckert; Kensaku Mori (Medical Optical Imaging and Virtual Microscopy Image Analysis - Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images - Michelle Espranita Liman; Daniel Rueckert; Florian J. Fintelmann; Philip Müller (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I, 2024)

Fair and Private CT Contrast Agent Detection - Philipp Kaess; Alexander Ziller; Lea Mantz; Daniel Rueckert; Florian J. Fintelmann; Georgios Kaissis (Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings, 2024)

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data - Robert Graf; Florian Hunecke; Soeren Pohl; Matan Atad; Hendrik Kristian Möller; Sophie Starck; Thomas Kröncke; Stefanie Bette; Fabian Bamberg; Tobias Pischon; Thoralf Niendorf; Carsten Oliver Schmidt; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings, 2024)

CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data - Yunheng Wu; Martin J. Menten; Linus Kreitner; Shuntaro Kawamura; Masahiro Oda; Yuichiro Hayashi; Takanori Takebe; Daniel Rueckert; Kensaku Mori (Medical Optical Imaging and Virtual Microscopy Image Analysis - Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

Interactive Generation of Laparoscopic Videos with Diffusion Models - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl; Daniel Rückert (Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings, 2024)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains - Maik Dannecker; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX, 2024)

Complex-Valued Federated Learning with Differential Privacy and MRI Applications - Anneliese Riess; Alexander Ziller; Stefan Kolek; Daniel Rueckert; Julia A. Schnabel; Georgios Kaissis (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - ISIC 2024, iMIMIC 2024, EARTH 2024, DeCaF 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings, 2024)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI, 2024)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT - Arunava Chakravarty; Taha Emre; Dmitry A. Lachinov; Antoine Rivail; Hendrik P. N. Scholl; Lars Fritsche; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V, 2024)

Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction - Shuting Liu; Baochang Zhang; Veronika A. Zimmer; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III, 2024)

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans - Mohammed Munzer Dwedari; William Consagra; Philip Müller; Özgün Turgut; Daniel Rueckert; Yogesh Rathi (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images - Yundi Zhang; Chen Chen; Suprosanna Shit; Sophie Starck; Daniel Rueckert; Jiazhen Pan (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I, 2024)

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations - 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII, 2024)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series - Chengzhi Shen; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Paul Hager; Robbie Holland (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI, 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX, 2024)

Topologically Faithful Multi-class Segmentation in Medical Images - Alexander H. Berger; Laurin Lux; Nico Stucki; Vincent Bürgin; Suprosanna Shit; Anna Banaszak; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII, 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations - Qiang Ma; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI, 2024)

Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI - Ruochen Li; Jiazhen Pan; Youxiang Zhu; Juncheng Ni; Daniel Rueckert (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I, 2024)

Link Prediction for Flow-Driven Spatial Networks - Bastian Wittmann; Johannes C. Paetzold; Chinmay Prabhakar; Daniel Rueckert; Bjoern H. Menze (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration - Bailiang Jian; Jiazhen Pan; Morteza Ghahremani; Daniel Rueckert; Christian Wachinger; Benedikt Wiestler (Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

General Vision Encoder Features as Guidance in Medical Image Registration - Fryderyk Victor Kögl; Anna Reithmeir; Vasiliki Sideri-Lampretsa; Inês Machado; Rickmer Braren; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions - Razieh Rezaei; Alireza Dizaji; Ashkan Khakzar; Anees Kazi; Nassir Navab; Daniel Rueckert (CoRR, 2024)

Towards Universal Unsupervised Anomaly Detection in Medical Imaging - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (CoRR, 2024)

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling - Philip Müller; Felix Meissen; Georgios Kaissis; Daniel Rueckert (CoRR, 2024)

Bounding Reconstruction Attack Success of Adversaries Without Data Priors - Alexander Ziller; Anneliese Riess; Kristian Schwethelm; Tamara T. Mueller; Daniel Rueckert; Georgios Kaissis (CoRR, 2024)

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation - Hendrik Kristian Möller; Robert Graf; Joachim Schmitt; Benjamin Keinert; Matan Atad; Anjany Sekuboyina; Felix Streckenbach; Hanna Schön; Florian Kofler; Thomas Kröncke; Stefanie Bette; Stefan Willich; et al. (CoRR, 2024)

Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation - Robert Mendel; Tobias Rueckert; Dirk Wilhelm; Daniel Rueckert; Christoph Palm (CoRR, 2024)

A Learnable Prior Improves Inverse Tumor Growth Modeling - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (CoRR, 2024)

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers - Alexander H. Berger; Laurin Lux; Suprosanna Shit; Ivan Ezhov; Georgios Kaissis; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2024)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series - Chengzhi Shen; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Paul Hager; Robbie Holland (CoRR, 2024)

Visual Privacy Auditing with Diffusion Models - Kristian Schwethelm; Johannes Kaiser; Moritz Knolle; Daniel Rueckert; Georgios Kaissis; Alexander Ziller (CoRR, 2024)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (CoRR, 2024)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains - Maik Dannecker; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2024)

Topologically faithful multi-class segmentation in medical images - Alexander H. Berger; Nico Stucki; Laurin Lux; Vincent Bürgin; Suprosanna Shit; Anna Banaszak; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (CoRR, 2024)

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases - Sophie Starck; Vasiliki Sideri-Lampretsa; Bernhard Kainz; Martin J. Menten; Tamara T. Mueller; Daniel Rueckert (CoRR, 2024)

Intensity-based 3D motion correction for cardiac MR images - Nil Stolt Ansó; Vasiliki Sideri-Lampretsa; Maik Dannecker; Daniel Rueckert (CoRR, 2024)

Multi-Image Visual Question Answering for Unsupervised Anomaly Detection - Jun Li; Cosmin I. Bercea; Philip Müller; Lina Felsner; Suhwan Kim; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel (CoRR, 2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation - 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 (CoRR, 2024)

ChEX: Interactive Localization and Region Description in Chest X-rays - Philip Müller; Georgios Kaissis; Daniel Rueckert (CoRR, 2024)

Attention-aware non-rigid image registration for accelerated MR imaging - Aya Ghoul; Jiazhen Pan; Andreas Lingg; Jens Kübler; Patrick Krumm; Kerstin Hammernik; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (CoRR, 2024)

Detecting and clustering swallow events in esophageal long-term high-resolution manometry - Alexander Geiger; Lars Wagner; Daniel Rueckert; Dirk Wilhelm; Alissa Jell (CoRR, 2024)

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4) - Robbie Holland; Rebecca Kaye; Ahmed M. Hagag; Oliver Leingang; Thomas R. P. Taylor; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Daniel Rueckert; Andrew J. Lotery; Sobha Sivaprasad; Martin J. Menten (CoRR, 2024)

TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images - Robert Graf; Paul-Sören Platzek; Evamaria Olga Riedel; Constanze Ramschütz; Sophie Starck; Hendrik Kristian Möller; Matan Atad; Henry Völzke; Robin Bülow; Carsten Oliver Schmidt; Julia Rüdebusch; Matthias Jung; et al. (CoRR, 2024)

Direct Cardiac Segmentation from Undersampled K-space Using Transformers - Yundi Zhang; Nil Stolt Ansó; Jiazhen Pan; Wenqi Huang; Kerstin Hammernik; Daniel Rueckert (CoRR, 2024)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images - Yundi Zhang; Chen Chen; Suprosanna Shit; Sophie Starck; Daniel Rueckert; Jiazhen Pan (CoRR, 2024)

Learning Visual Prompts for Guiding the Attention of Vision Transformers - Razieh Rezaei; Masoud Jalili Sabet; Jindong Gu; Daniel Rueckert; Philip Torr; Ashkan Khakzar (CoRR, 2024)

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images - Michelle Espranita Liman; Daniel Rueckert; Florian J. Fintelmann; Philip Müller (CoRR, 2024)

Interactive Generation of Laparoscopic Videos with Diffusion Models - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl; Daniel Rückert (CoRR, 2024)

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy - Georgios Kaissis; Stefan Kolek; Borja Balle; Jamie Hayes; Daniel Rueckert (CoRR, 2024)

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings - Andrea Posada; Daniel Rueckert; Felix Meissen; Philip Müller (CoRR, 2024)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (CoRR, 2024)

Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging - Siying Xu; Kerstin Hammernik; Andreas Lingg; Jens Kübler; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (CoRR, 2024)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders - Mehmet Yigit Avci; Emily Chan; Veronika A. M. Zimmer; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (CoRR, 2024)

Machine Unlearning for Medical Imaging - Reza Nasirigerdeh; Nader Razmi; Julia A. Schnabel; Daniel Rueckert; Georgios Kaissis (CoRR, 2024)

Specialist vision-language models for clinical ophthalmology - Robbie Holland; Thomas R. P. Taylor; Christopher Holmes; Sophie Riedl; Julia Mai; Maria Patsiamanidi; Dimitra Mitsopoulou; Paul Hager; Philip Müller; Hendrik P. N. Scholl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; et al. (CoRR, 2024)

General Vision Encoder Features as Guidance in Medical Image Registration - Fryderyk Victor Kögl; Anna Reithmeir; Vasiliki Sideri-Lampretsa; Inês Machado; Rickmer Braren; Daniel Rückert; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2024)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration - Bailiang Jian; Jiazhen Pan; Morteza Ghahremani; Daniel Rueckert; Christian Wachinger; Benedikt Wiestler (CoRR, 2024)

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI - Ruochen Li; Jiazhen Pan; Youxiang Zhu; Juncheng Ni; Daniel Rueckert (CoRR, 2024)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder - Matan Atad; David Schinz; Hendrik Kristian Möller; Robert Graf; Benedikt Wiestler; Daniel Rueckert; Nassir Navab; Jan S. Kirschke; Matthias Keicher (CoRR, 2024)

Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model - Matan Atad; Gabriel Gruber; Marx Ribeiro; Luis Fernando Nicolini; Robert Graf; Hendrik Kristian Möller; Kati Nispel; Ivan Ezhov; Daniel Rueckert; Jan S. Kirschke (CoRR, 2024)

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans - Mohammed Munzer Dwedari; William Consagra; Philip Müller; Özgün Turgut; Daniel Rueckert; Yogesh Rathi (CoRR, 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (CoRR, 2024)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT - Arunava Chakravarty; Taha Emre; Dmitry A. Lachinov; Antoine Rivail; Hendrik P. N. Scholl; Lars Fritsche; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2024)

Differentially Private Active Learning: Balancing Effective Data Selection and Privacy - Kristian Schwethelm; Johannes Kaiser; Jonas Kuntzer; Mehmet Yigitsoy; Daniel Rueckert; Georgios Kaissis (CoRR, 2024)

Towards a vision foundation model for comprehensive assessment of Cardiac MRI - Athira J. Jacob; Indraneel Borgohain; Teodora Chitiboi; Puneet Sharma; Dorin Comaniciu; Daniel Rueckert (CoRR, 2024)

Towards Generalisable Time Series Understanding Across Domains - Özgün Turgut; Philip Müller; Martin J. Menten; Daniel Rueckert (CoRR, 2024)

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data - Robert Graf; Florian Hunecke; Soeren Pohl; Matan Atad; Hendrik Kristian Möller; Sophie Starck; Thomas Kröncke; Stefanie Bette; Fabian Bamberg; Tobias Pischon; Thoralf Niendorf; Carsten Oliver Schmidt; et al. (CoRR, 2024)

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging - Aya Ghoul; Kerstin Hammernik; Andreas Lingg; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (CoRR, 2024)

Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation - Laurin Lux; Alexander H. Berger; Alexander Weers; Nico Stucki; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (CoRR, 2024)

A Practical Guide to Fine-tuning Language Models with Limited Data - Márton Szep; Daniel Rueckert; Rüdiger von Eisenhart-Rothe; Florian Hinterwimmer (CoRR, 2024)

Improved Localized Machine Unlearning Through the Lens of Memorization - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Georgios Kaissis; Daniel Rueckert; Gintare Karolina Dziugaite; Eleni Triantafillou (CoRR, 2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging - Wenqi Huang; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Kustner; Daniel Rueckert (CoRR, 2024)

Image registration is a geometric deep learning task - Vasiliki Sideri-Lampretsa; Nil Stolt Ansó; Martin J. Menten; Huaqi Qiu; Julian McGinnis; Daniel Rueckert (CoRR, 2024)

Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning - Jonas Weidner; Michal Balcerak; Ivan Ezhov; André Datchev; Laurin Lux; Lucas Zimmer; Daniel Rückert; Bjoern H. Menze; Benedikt Wiestler (CoRR, 2024)

Pitfalls of topology-aware image segmentation - Alexander H. Berger; Laurin Lux; Alexander Weers; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2024)

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI - Denis Prokopenko; David F. A. Lloyd; Amedeo Chiribiri; Daniel Rueckert; Joseph V. Hajnal (CoRR, 2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review - Anna Reithmeir; Veronika Spieker; Vasiliki Sideri-Lampretsa; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2024)

Self-Supervised Radiograph Anatomical Region Classification - How Clean Is Your Real-World Data? - Simon Langer; Jessica Johanna Maria Ritter; Rickmer Braren; Daniel Rueckert; Paul Hager (CoRR, 2024)

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view - 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; et al. (Medical Image Anal., 2023)

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior - Chen Qin; Shuo Wang; Chen Chen; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2023)

Fast fetal head compounding from multi-view 3D ultrasound - 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 (Medical Image Anal., 2023)

Differentially Private Graph Neural Networks for Whole-Graph Classification - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 2023)

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (ACM Trans. Priv. Secur., 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs - Qiang Ma; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation - Cheng Ouyang; Chen Chen; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network - Adam Marcus; Paul Bentley; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Daniel Rueckert; Georgios Kaissis (Trans. Mach. Learn. Res., 2023)

Self-supervised learning for atrial fibrillation detection with ECG using CNNTransformer - Congyu Zou; Alexander Müller; Eimo Martens; Phillip Müller; Daniel Rückert; Alexander Steger; Matthias Becker; Wolfgang Utschick (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8 and 12, 2023, Revised Selected Papers, 2023)

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023, 2023)

Utility-preserving Federated Learning - Reza Nasirigerdeh; Daniel Rueckert; Georgios Kaissis (Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023, 2023)

Bias in Unsupervised Anomaly Detection in Brain MRI - Cosmin I. Bercea; Esther Puyol-Antón; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings, 2023)

Interactive and Explainable Region-guided Radiology Report Generation - Tim Tanida; Philip Müller; Georgios Kaissis; Daniel Rueckert (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data - Paul Hager; Martin J. Menten; Daniel Rueckert (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform - Congyu Zou; Mikhael Djajapermana; Eimo Martens; Alexander Müller; Daniel Rückert; Philip Müller; Alexander Steger; Matthias Becker; Wolfgang Utschick (45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, 2023)

A skeletonization algorithm for gradient-based optimization - Martin J. Menten; Johannes C. Paetzold; Veronika A. Zimmer; Suprosanna Shit; Ivan Ezhov; Robbie Holland; Monika Probst; Julia A. Schnabel; Daniel Rueckert (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images - Ario Sadafi; Oleksandra Adonkina; Ashkan Khakzar; Peter Lienemann; Rudolf Matthias Hehr; Daniel Rueckert; Nassir Navab; Carsten Marr (Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023)

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging - Wenqi Huang; Hongwei Bran Li; Jiazhen Pan; Gastão Cruz; Daniel Rueckert; Kerstin Hammernik (Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023)

Approaching Peak Ground Truth - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients - Alexander Ziller; Ayhan Can Erdur; Friederike Jungmann; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines - Leonhard F. Feiner; Martin J. Menten; Kerstin Hammernik; Paul Hager; Wenqi Huang; Daniel Rueckert; Rickmer F. Braren; Georgios Kaissis (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings, 2023)

Extended Graph Assessment Metrics for Regression and Weighted Graphs - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology - 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings, 2023)

Metrics to Quantify Global Consistency in Synthetic Medical Images - Daniel Scholz; Benedikt Wiestler; Daniel Rueckert; Martin J. Menten (Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI - Hannah Eichhorn; Kerstin Hammernik; Veronika Spieker; Samira M. Epp; Daniel Rueckert; Christine Preibisch; Julia A. Schnabel (Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Towards Generalised Neural Implicit Representations for Image Registration - Veronika A. Zimmer; Kerstin Hammernik; Vasiliki Sideri-Lampretsa; Wenqi Huang; Anna Reithmeir; Daniel Rueckert; Julia A. Schnabel (Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Anatomy-Driven Pathology Detection on Chest X-rays - Philip Müller; Felix Meissen; Johannes Brandt; Georgios Kaissis; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 2023)

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression - Kyriaki-Margarita Bintsi; Tamara T. Mueller; Sophie Starck; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology - 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings, 2023)

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning - Denis Prokopenko; Kerstin Hammernik; Thomas A. Roberts; David F. A. Lloyd; Daniel Rueckert; Joseph V. Hajnal (Perinatal, Preterm and Paediatric Image Analysis - 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings, 2023)

Robust Segmentation via Topology Violation Detection and Feature Synthesis - Liu Li; Qiang Ma; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023)

Gradient Self-alignment in Private Deep Learning - David Bani-Harouni; Tamara T. Mueller; Daniel Rueckert; Georgios Kaissis (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, 2023)

Body Fat Estimation from Surface Meshes Using Graph Neural Networks - Tamara T. Mueller; Siyu Zhou; Sophie Starck; Friederike Jungmann; Alexander Ziller; Orhun Aksoy; Danylo Movchan; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report - Taha Emre; Marzieh Oghbaie; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings, 2023)

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images - Alina F. Dima; Veronika A. Zimmer; Martin J. Menten; Hongwei Bran Li; Markus Graf; Tristan Lemke; Philipp Raffler; Robert Graf; Jan S. Kirschke; Rickmer Braren; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 2023)

MAD: Modality Agnostic Distance Measure for Image Registration - Vasiliki Sideri-Lampretsa; Veronika A. Zimmer; Huaqi Qiu; Georgios Kaissis; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, 2023)

Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder - Adam Marcus; Paul Bentley; Daniel Rueckert (Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions - Ayhan Can Erdur; Daniel Scholz; Josef A. Buchner; Stephanie E. Combs; Daniel Rueckert; Jan C. Peeken (Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation - MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings, 2023)

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Rolandos Alexandros Potamias; Alexander Hammers; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images - Chinmay Prabhakar; Hongwei Bran Li; Johannes C. Paetzold; Timo Loehr; Chen Niu; Mark Mühlau; Daniel Rueckert; Benedikt Wiestler; Bjoern H. Menze (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X, 2023)

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection - Cosmin I. Bercea; Daniel Rueckert; Julia A. Schnabel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction - Qiang Ma; Liu Li; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023)

Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases - Shuting Liu; Baochang Zhang; Rong Fang; Daniel Rueckert; Veronika A. Zimmer (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Rebecca Kaye; Sophie Riedl; Johannes C. Paetzold; Ivan Ezhov; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

NISF: Neural Implicit Segmentation Functions - Nil Stolt Ansó; Julian McGinnis; Jiazhen Pan; Kerstin Hammernik; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023)

Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images - Felix Meissen; Philip Müller; Georgios Kaissis; Daniel Rueckert (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning - Georgios Kaissis; Alexander Ziller; Stefan Kolek; Anneliese Riess; Daniel Rueckert (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning - Reza Nasirigerdeh; Javad Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023, Raleigh, NC, USA, February 8-10, 2023, 2023)

Deep Conditional Shape Models for 3D Cardiac Image Segmentation - Athira J. Jacob; Puneet Sharma; Daniel Rückert (Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers, 2023)

Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views - Marica Muffoletto; Hao Xu; Yiyang Xu; Steven E. Williams; Michelle C. Williams; Karl P. Kunze; Radhouène Neji; Steven A. Niederer; Daniel Rueckert; Alistair A. Young (Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers, 2023)

T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer - Michael Tänzer; Fanwen Wang; Mengyun Qiao; Wenjia Bai; Daniel Rueckert; Guang Yang; Sonia Nielles-Vallespin (Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers, 2023)

Diagnosis - Daniel Rueckert; Moritz Knolle; Nicolas Duchateau; Reza Razavi; Georgios Kaissis (AI and Big Data in Cardiology: A Practical Guide, 2023)

Approaching Peak Ground Truth - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (CoRR, 2023)

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Johannes C. Paetzold; Rebecca Kaye; Sophie Riedl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Lars Fritsche; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (CoRR, 2023)

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy - Mengyun Qiao; Shuo Wang; Huaqi Qiu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Wenjia Bai (CoRR, 2023)

Equivariant Differentially Private Deep Learning - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology - Soroosh Tayebi Arasteh; Alexander Ziller; Christiane Kuhl; Marcus R. Makowski; Sven Nebelung; Rickmer Braren; Daniel Rueckert; Daniel Truhn; Georgios Kaissis (CoRR, 2023)

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging - Jiazhen Pan; Wenqi Huang; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (CoRR, 2023)

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art - Ioannis Lagogiannis; Felix Meissen; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images - Felix Meissen; Philip Müller; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (CoRR, 2023)

Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images - Ario Sadafi; Oleksandra Adonkina; Ashkan Khakzar; Peter Lienemann; Rudolf Matthias Hehr; Daniel Rueckert; Nassir Navab; Carsten Marr (CoRR, 2023)

The Multiscale Surface Vision Transformer - Simon Dahan; Abdulah Fawaz; Mohamed A. Suliman; Mariana da Silva; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data - Paul Hager; Martin J. Menten; Daniel Rueckert (CoRR, 2023)

Link Prediction for Flow-Driven Spatial Networks - Bastian Wittmann; Johannes C. Paetzold; Chinmay Prabhakar; Daniel Rueckert; Bjoern H. Menze (CoRR, 2023)

Multi-contrast MRI Super-resolution via Implicit Neural Representations - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (CoRR, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration - Diana Waldmannstetter; Florian Kofler; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Daniel Rueckert; Jan S. Kirschke; Marie Piraud; Bjoern H. Menze (CoRR, 2023)

Interactive and Explainable Region-guided Radiology Report Generation - Tim Tanida; Philip Müller; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT - Arunava Chakravarty; Taha Emre; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2023)

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art - Tobias Rueckert; Daniel Rueckert; Christoph Palm (CoRR, 2023)

Leveraging gradient-derived metrics for data selection and valuation in differentially private training - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review - Veronika Spieker; Hannah Eichhorn; Kerstin Hammernik; Daniel Rueckert; Christine Preibisch; Dimitrios C. Karampinos; Julia A. Schnabel (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models - Cosmin I. Bercea; Michael Neumayr; Daniel Rueckert; Julia A. Schnabel (CoRR, 2023)

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (CoRR, 2023)

Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network - Adam Marcus; Paul Bentley; Daniel Rueckert (CoRR, 2023)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation - Jingjie Guo; Weitong Zhang; Matthew Sinclair; Daniel Rueckert; Chen Chen (CoRR, 2023)

Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy - Georgios Kaissis; Jamie Hayes; Alexander Ziller; Daniel Rueckert (CoRR, 2023)