Multimodal brain age estimation using interpretable adaptive population-graph learning - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Rolandos Alexandros Potamias; Alexander Hammers; Daniel Rueckert (CoRR, 2023)

Explainable 2D Vision Models for 3D Medical Data - Alexander Ziller; Alp Güvenir; Ayhan Can Erdur; Tamara T. Mueller; Philip Müller; Friederike Jungmann; Johannes Brandt; Jan Peeken; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Atlas-Based Interpretable Age Prediction - Sophie Starck; Yadunandan Vivekanand Kini; Jessica Johanna Maria Ritter; Rickmer Braren; Daniel Rueckert; Tamara T. Mueller (CoRR, 2023)

Extended Graph Assessment Metrics for Graph Neural Networks - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (CoRR, 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 (CoRR, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT - 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 (CoRR, 2023)

Metrics to Quantify Global Consistency in Synthetic Medical Images - Daniel Scholz; Benedikt Wiestler; Daniel Rueckert; Martin J. Menten (CoRR, 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 (CoRR, 2023)

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data - Simon Dahan; Mariana da Silva; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (CoRR, 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 (CoRR, 2023)

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations - Robert Graf; Joachim Schmitt; Sarah Schlaeger; Hendrik Kristian Möller; Vasiliki Sideri-Lampretsa; Anjany Sekuboyina; Sandro Manuel Krieg; Benedikt Wiestler; Bjoern H. Menze; Daniel Rueckert; Jan Stefan Kirschke (CoRR, 2023)

Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD - Moritz Knolle; Robert Dorfman; Alexander Ziller; Daniel Rueckert; Georgios Kaissis (CoRR, 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 (CoRR, 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 (CoRR, 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 (CoRR, 2023)

Anatomy-Driven Pathology Detection on Chest X-rays - Philip Müller; Felix Meissen; Johannes Brandt; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

MAD: Modality Agnostic Distance Measure for Image Registration - Vasiliki Sideri-Lampretsa; Veronika A. Zimmer; Huaqi Qiu; Georgios Kaissis; Daniel Rueckert (CoRR, 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 (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare - 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; et al. (CoRR, 2023)

(Predictable) Performance Bias in Unsupervised Anomaly Detection - Felix Meissen; Svenja Breuer; Moritz Knolle; Alena Buyx; Ruth Müller; Georgios Kaissis; Benedikt Wiestler; Daniel Rueckert (CoRR, 2023)

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning - Qingjie Meng; Wenjia Bai; Declan P. O'Regan; Daniel Rueckert (CoRR, 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 (CoRR, 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 (CoRR, 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 (CoRR, 2023)

Deep Conditional Shape Models for 3D cardiac image segmentation - Athira J. Jacob; Puneet Sharma; Daniel Rückert (CoRR, 2023)

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps - Florian Kofler; Hendrik Kristian Möller; Josef A. Buchner; Ezequiel de la Rosa; Ivan Ezhov; Marcel Rosier; Isra Mekki; Suprosanna Shit; Moritz Negwer; Rami Al-Maskari; Ali Ertürk; Shankeeth Vinayahalingam; et al. (CoRR, 2023)

How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection - Felix Meissen; Johannes Getzner; Alexander Ziller; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging - Alexander Ziller; Tamara T. Mueller; Simon Stieger; Leonhard F. Feiner; Johannes Brandt; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs - Taha Emre; Arunava Chakravarty; Antoine Rivail; Dmitrii A. Lachinov; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA - Kaiyuan Yang; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Privacy: An Axiomatic Approach - Alexander Ziller; Tamara T. Mueller; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (Entropy, 2022)

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index - Georgios Kaissis; Moritz Knolle; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Daniel Rueckert (J. Priv. Confidentiality, 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu; Gongning Luo; et al. (Medical Image Anal., 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation - Chen Chen; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang; Huaqi Qiu; Liang Chen; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Federated disentangled representation learning for unsupervised brain anomaly detection - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (Nat. Mach. Intell., 2022)

Predicting age and clinical risk from the neonatal connectome - Yassine Taoudi-Benchekroun; Daan Christiaens; Irina Grigorescu; Oliver Gale-Grant; Andreas Schuh; Maximilian Pietsch; Andrew Chew; Nicholas Harper; Shona Falconer; Tanya Poppe; Emer J. Hughes; Jana Hutter; et al. (NeuroImage, 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study - Qi Dou; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis - Yutong Chen; Carola-Bibiane Schönlieb; Pietro Liò; Tim Leiner; Pier Luigi Dragotti; Ge Wang; Daniel Rueckert; David N. Firmin; Guang Yang (Proc. IEEE, 2022)

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning - Dmitrii Usynin; Daniel Rueckert; Jonathan Passerat-Palmbach; Georgios Kaissis (Proc. Priv. Enhancing Technol., 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net - Tian-Rui Liu; Qingjie Meng; Junjie Huang; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

Learning a Model-Driven Variational Network for Deformable Image Registration - Xi Jia; Alexander Thorley; Wei Chen; Huaqi Qiu; Linlin Shen; Iain B. Styles; Hyung Jin Chang; Ales Leonardis; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Jinming Duan (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation - Cheng Ouyang; Carlo Biffi; Chen Chen; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI - Qingjie Meng; Chen Qin; Wenjia Bai; Tianrui Liu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Unsupervised Anomaly Localization with Structural Feature-Autoencoders - Felix Meissen; Johannes C. Paetzold; Georgios Kaissis; Daniel Rueckert (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 2022)

Joint Learning of Localized Representations from Medical Images and Reports - Philip Müller; Georgios Kaissis; Congyu Zou; Daniel Rueckert (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVI, 2022)

Multi-Modal Unsupervised Brain Image Registration Using Edge Maps - Vasiliki Sideri-Lampretsa; Georgios Kaissis; Daniel Rueckert (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 2022)

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias - Linus Kreitner; Ivan Ezhov; Daniel Rueckert; Johannes C. Paetzold; Martin J. Menten (Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings, 2022)

Can Collaborative Learning Be Private, Robust and Scalable? - Dmitrii Usynin; Helena Klause; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings, 2022)

Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network - Adam Marcus; Paul Bentley; Daniel Rueckert (Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

Embedding Gradient-Based Optimization in Image Registration Networks - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Chen Chen; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation - Cheng Ouyang; Shuo Wang; Chen Chen; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints - Liu Li; Qiang Ma; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings, 2022)

Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data - Moritz Binzer; Kerstin Hammernik; Daniel Rueckert; Veronika A. Zimmer (Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, 2022)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation - Chen Chen; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning - Qingjie Meng; Wenjia Bai; Tianrui Liu; Declan P. O'Regan; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs - Martin J. Menten; Johannes C. Paetzold; Alina Dima; Bjoern H. Menze; Benjamin Knier; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII, 2022)

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays - Philip Müller; Georgios Kaissis; Congyu Zou; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis - Simon Dahan; Abdulah Fawaz; Logan Z. J. Williams; Chunhui Yang; Timothy S. Coalson; Matthew F. Glasser; A. David Edwards; Daniel Rueckert; Emma C. Robinson (International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland, 2022)

On the Pitfalls of Using the Residual Error as Anomaly Score - Felix Meissen; Benedikt Wiestler; Georgios Kaissis; Daniel Rueckert (International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland, 2022)

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction - Michael Tänzer; Pedro F. Ferreira; Andrew D. Scott; Zohya Khalique; Maria Dwornik; Dudley Pennell; Guang Yang; Daniel Rueckert; Sonia Nielles-Vallespin (Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings, 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang; Yi Guo; Yuanyuan Wang; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 2022)

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation - Marica Muffoletto; Hao Xu; Hugo Barbaroux; Karl P. Kunze; Radhouène Neji; René M. Botnar; Claudia Prieto; Daniel Rueckert; Alistair A. Young (Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 2022)

Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal - Michael Tänzer; Sea Hee Yook; Pedro F. Ferreira; Guang Yang; Daniel Rueckert; Sonia Nielles-Vallespin (Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 2022)

Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings - Alessa Hering; Julia A. Schnabel; Miaomiao Zhang; Enzo Ferrante; Mattias P. Heinrich; Daniel Rueckert (Springer, 2022)

AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation - Felix Meissen; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

Differentially Private Graph Classification with GNNs - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

On the Pitfalls of Using the Residual Error as Anomaly Score - Felix Meissen; Benedikt Wiestler; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

Multi-modal unsupervised brain image registration using edge maps - Vasiliki Sideri-Lampretsa; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs - Qiang Ma; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

Differentially private training of residual networks with scale normalisation - Helena Klause; Alexander Ziller; Daniel Rueckert; Kerstin Hammernik; Georgios Kaissis (CoRR, 2022)

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

SoK: Differential Privacy on Graph-Structured Data - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Privacy: An axiomatic approach - Alexander Ziller; Tamara T. Mueller; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis - Simon Dahan; Abdulah Fawaz; Logan Z. J. Williams; Chunhui Yang; Timothy S. Coalson; Matthew F. Glasser; A. David Edwards; Daniel Rueckert; Emma C. Robinson (CoRR, 2022)

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers - Jiahao Huang; Yingying Fang; Yang Nan; Huanjun Wu; Yinzhe Wu; Zhifan Gao; Yang Li; Zidong Wang; Pietro Liò; Daniel Rueckert; Yonina C. Eldar; Guang Yang (CoRR, 2022)

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces - Simon Dahan; Hao Xu; Logan Z. J. Williams; Abdulah Fawaz; Chunhui Yang; Timothy S. Coalson; Michelle C. Williams; David E. Newby; A. David Edwards; Matthew F. Glasser; Alistair A. Young; Daniel Rueckert; et al. (CoRR, 2022)

Can collaborative learning be private, robust and scalable? - Dmitrii Usynin; Helena Klause; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

SmoothNets: Optimizing CNN architecture design for differentially private deep learning - Nicolas W. Remerscheid; Alexander Ziller; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI - Liu Li; Qiang Ma; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

Kernel Normalized Convolutional Networks - Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation - Tobias Bernecker; Annette Peters; Christopher L. Schlett; Fabian Bamberg; Fabian J. Theis; Daniel Rueckert; Jakob Weiß; Shadi Albarqouni (CoRR, 2022)

Surface Analysis with Vision Transformers - Simon Dahan; Logan Z. J. Williams; Abdulah Fawaz; Daniel Rueckert; Emma C. Robinson (CoRR, 2022)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation - Chen Chen; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (CoRR, 2022)

What do we learn? Debunking the Myth of Unsupervised Outlier Detection - Cosmin I. Bercea; Daniel Rueckert; Julia A. Schnabel (CoRR, 2022)

Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior - Chen Qin; Shuo Wang; Chen Chen; Wenjia Bai; Daniel Rueckert (CoRR, 2022)

A Review of Causality for Learning Algorithms in Medical Image Analysis - Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2022)

Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction - Michael Tänzer; Pedro F. Ferreira; Andrew D. Scott; Zohya Khalique; Maria Dwornik; Dudley Pennell; Guang Yang; Daniel Rueckert; Sonia Nielles-Vallespin (CoRR, 2022)

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. (CoRR, 2022)

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs - Martin J. Menten; Johannes C. Paetzold; Alina Dima; Bjoern H. Menze; Benjamin Knier; Daniel Rueckert (CoRR, 2022)

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI - Qingjie Meng; Chen Qin; Wenjia Bai; Tianrui Liu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert (CoRR, 2022)

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 (CoRR, 2022)

Improved post-hoc probability calibration for out-of-domain MRI segmentation - Cheng Ouyang; Shuo Wang; Chen Chen; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (CoRR, 2022)

Unsupervised Anomaly Localization with Structural Feature-Autoencoders - Felix Meissen; Johannes C. Paetzold; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang; Yi Guo; Yuanyuan Wang; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (CoRR, 2022)

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning - Qingjie Meng; Wenjia Bai; Tianrui Liu; Declan P. O'Regan; Daniel Rueckert (CoRR, 2022)

Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (CoRR, 2022)

Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal - Michael Tänzer; Sea Hee Yook; Guang Yang; Daniel Rueckert; Sonia Nielles-Vallespin (CoRR, 2022)

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance - Chen Qin; Daniel Rueckert (CoRR, 2022)

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning - Reza Nasirigerdeh; Javad Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens - Georgios Kaissis; Alexander Ziller; Stefan Kolek Martinez de Azagra; Daniel Rueckert (CoRR, 2022)

Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias - Linus Kreitner; Ivan Ezhov; Daniel Rueckert; Johannes C. Paetzold; Martin J. Menten (CoRR, 2022)

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 (CoRR, 2022)

The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images - Philip Müller; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

How Do Input Attributes Impact the Privacy Loss in Differential Privacy? - Tamara T. Mueller; Stefan Kolek; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images - Hongwei Bran Li; Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Tamaz Amiranashvili; Jianguo Zhang; Daniel Rueckert; Juan Eugenio Iglesias; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2022)

Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging - Wenqi Huang; Hongwei Li; Gastão Cruz; Jiazhen Pan; Daniel Rueckert; Kerstin Hammernik (CoRR, 2022)

End-to-end privacy preserving deep learning on multi-institutional medical imaging - Georgios Kaissis; Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Lima; Jason Mancuso; Friederike Jungmann; Marc-Matthias Steinborn; Andreas Saleh; Marcus R. Makowski; et al. (Nat. Mach. Intell., 2021)

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning - Dmitrii Usynin; Alexander Ziller; Marcus R. Makowski; Rickmer Braren; Daniel Rueckert; Ben Glocker; Georgios Kaissis; Jonathan Passerat-Palmbach (Nat. Mach. Intell., 2021)

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age - Ralica Dimitrova; Maximilian Pietsch; Judit Ciarrusta; Sean P. Fitzgibbon; Logan Z. J. Williams; Daan Christiaens; Lucilio Cordero-Grande; Dafnis Batalle; Antonios Makropoulos; Andreas Schuh; Anthony N. Price; Jana Hutter; et al. (NeuroImage, 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study - Qi Dou; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (Proc. IEEE, 2021)

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging - Qingjie Meng; Jacqueline Matthew; Veronika A. Zimmer; Alberto Gómez; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2021)

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction - Kerstin Hammernik; Jiazhen Pan; Daniel Rueckert; Thomas Küstner (55th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, Pacific Grove, CA, USA, October 31 - November 3, 2021, 2021)

Bias Field Robustness Verification of Large Neural Image Classifiers - Patrick Henriksen; Kerstin Hammernik; Daniel Rueckert; Alessio Lomuscio (32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021, 2021)

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI - Felix Meissen; Georgios Kaissis; Daniel Rueckert (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I, 2021)

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis - Ping Lu; Wenjia Bai; Daniel Rueckert; J. Alison Noble (Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings, 2021)

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis - Ping Lu; Wenjia Bai; Daniel Rueckert; J. Alison Noble (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography - Osama N. Hassan; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Andrew J. Lotery; Daniel Rueckert (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, 2021)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation - Shuo Wang; Chen Qin; Nicoló Savioli; Chen Chen; Declan P. O'Regan; Stuart A. Cook; Yike Guo; Daniel Rueckert; Wenjia Bai (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III, 2021)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, 2021)

Voxel-Level Importance Maps for Interpretable Brain Age Estimation - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction - Qiang Ma; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation - Konstantinos Kamnitsas; Stefan Winzeck; Evgenios N. Kornaropoulos; Daniel Whitehouse; Cameron Englman; Poe Phyu; Norman Pao; David K. Menon; Daniel Rueckert; Tilak Das; Virginia F. J. Newcombe; Ben Glocker (Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings, 2021)

AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation - Felix Meissen; Georgios Kaissis; Daniel Rueckert (Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021, Proceedings, 2021)

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity - Simon Dahan; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation - Chen Chen; Kerstin Hammernik; Cheng Ouyang; Chen Qin; Wenjia Bai; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III, 2021)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII, 2021)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI - Liu Li; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, 2021)

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization - Turkay Kart; Wenjia Bai; Ben Glocker; Daniel Rueckert (Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings, 2021)

Detecting Outliers with Poisson Image Interpolation - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, 2021)

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging - Alina Dima; Johannes C. Paetzold; Friederike Jungmann; Tristan Lemke; Philipp Raffler; Georgios Kaissis; Daniel Rueckert; Rickmer Braren (Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021)

Learning Diffeomorphic and Modality-invariant Registration using B-splines - Huaqi Qiu; Chen Qin; Andreas Schuh; Kerstin Hammernik; Daniel Rueckert (Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany, 2021)

Reducing Textural Bias Improves Robustness of Deep Segmentation Models - Seoin Chai; Daniel Rueckert; Ahmed E. Fetit (Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings, 2021)

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings - Cristina Oyarzun Laura; M. Jorge Cardoso; Michal Rosen-Zvi; Georgios Kaissis; Marius George Linguraru; Raj Shekhar; Stefan Wesarg; Marius Erdt; Klaus Drechsler; Yufei Chen; Shadi Albarqouni; Spyridon Bakas; et al. (Springer, 2021)

Personalized Federated Deep Learning for Pain Estimation From Face Images - Ognjen Rudovic; Nicolas Tobis; Sebastian Kaltwang; Björn W. Schuller; Daniel Rueckert; Jeffrey F. Cohn; Rosalind W. Picard (CoRR, 2021)

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (CoRR, 2021)

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning - Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Julian O. Matschinske; Jan Baumbach; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Automated Knee X-ray Report Generation - Aydan Gasimova; Giovanni Montana; Daniel Rueckert (CoRR, 2021)

Learning a Model-Driven Variational Network for Deformable Image Registration - Xi Jia; Alexander Thorley; Wei Chen; Huaqi Qiu; Linlin Shen; Iain B. Styles; Hyung Jin Chang; Ales Leonardis; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Jinming Duan (CoRR, 2021)

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net - Tianrui Liu; Qingjie Meng; Junjie Huang; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2021)

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation - Chen Chen; Kerstin Hammernik; Cheng Ouyang; Chen Qin; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

Differentially private federated deep learning for multi-site medical image segmentation - Alexander Ziller; Dmitrii Usynin; Nicolas Remerscheid; Moritz Knolle; Marcus R. Makowski; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Detecting Outliers with Poisson Image Interpolation - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (CoRR, 2021)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (CoRR, 2021)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation - Shuo Wang; Chen Qin; Nicoló Savioli; Chen Chen; Declan P. O'Regan; Stuart A. Cook; Yike Guo; Daniel Rueckert; Wenjia Bai (CoRR, 2021)

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation - Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Kritika Prakash; Andrew Trask; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty - Moritz Knolle; Alexander Ziller; Dmitrii Usynin; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation - Nicoló Savioli; Antonio de Marvao; Wenjia Bai; Shuo Wang; Stuart A. Cook; Calvin W. L. Chin; Daniel Rueckert; Declan P. O'Regan (CoRR, 2021)

Transductive image segmentation: Self-training and effect of uncertainty estimation - Konstantinos Kamnitsas; Stefan Winzeck; Evgenios N. Kornaropoulos; Daniel Whitehouse; Cameron Englman; Poe Phyu; Norman Pao; David K. Menon; Daniel Rueckert; Tilak Das; Virginia F. J. Newcombe; Ben Glocker (CoRR, 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation - Chen Chen; Chen Qin; Cheng Ouyang; Shuo Wang; Huaqi Qiu; Liang Chen; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

Voxel-level Importance Maps for Interpretable Brain Age Estimation - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (CoRR, 2021)

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity - Simon Dahan; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (CoRR, 2021)

A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index - Georgios Kaissis; Moritz Knolle; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Daniel Rueckert (CoRR, 2021)

An automatic differentiation system for the age of differential privacy - Dmitrii Usynin; Alexander Ziller; Moritz Knolle; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Partial sensitivity analysis in differential privacy - Tamara T. Mueller; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Friederike Jungmann; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization - Turkay Kart; Wenjia Bai; Ben Glocker; Daniel Rueckert (CoRR, 2021)

Complex-valued deep learning with differential privacy - Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Kerstin Hammernik; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation - Cheng Ouyang; Chen Chen; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

FedRAD: Federated Robust Adaptive Distillation - Stefán Páll Sturluson; Samuel Trew; Luis Muñoz-González; Matei Grama; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2021)

Joint Learning of Localized Representations from Medical Images and Reports - Philip Müller; Georgios Kaissis; Congyu Zou; Daniel Rueckert (CoRR, 2021)

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Daniel Rueckert (CoRR, 2021)

Distributed Machine Learning and the Semblance of Trust - Dmitrii Usynin; Alexander Ziller; Daniel Rueckert; Jonathan Passerat-Palmbach; Georgios Kaissis (CoRR, 2021)

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis - Yutong Chen; Carola-Bibiane Schönlieb; Pietro Liò; Tim Leiner; Pier Luigi Dragotti; Gerald Wang; Daniel Rueckert; David N. Firmin; Guang Yang (CoRR, 2021)

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 2020)

Secure, privacy-preserving and federated machine learning in medical imaging - Georgios Kaissis; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren (Nat. Mach. Intell., 2020)

Model-Based and Data-Driven Strategies in Medical Image Computing - Daniel Rueckert; Julia A. Schnabel (Proc. IEEE, 2020)

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Ozan Oktay; Christian Ledig; Loïc Le Folgoc; Konstantinos Kamnitsas; Georgia Doumou; Jinming Duan; Sanjay K. Prasad; et al. (IEEE Trans. Medical Imaging, 2020)

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk - Thomas Küstner; Jiazhen Pan; Christopher Gilliam; Haikun Qi; Gastão Cruz; Kerstin Hammernik; Bin Yang; Thierry Blu; Daniel Rueckert; René M. Botnar; Claudia Prieto; Sergios Gatidis (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2020, Auckland, New Zealand, December 7-10, 2020, 2020)

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification - Veneta Haralampieva; Daniel Rueckert; Jonathan Passerat-Palmbach (PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020, 2020)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation - Cheng Ouyang; Carlo Biffi; Chen Chen; Turkay Kart; Huaqi Qiu; Daniel Rueckert (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX, 2020)

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography - Osama N. Hassan; Serhat Sahin; Vahid Mohammadzadeh; Xiaohe Yang; Navid Amini; Apoorva Mylavarapu; Jack Martinyan; Tae Hong; Golnoush Mahmoudinezhad; Daniel Rueckert; Kouros Nouri-Mahdavi; Fabien Scalzo (Advances in Visual Computing - 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings, Part II, 2020)

3D Probabilistic Segmentation and Volumetry from 2D Projection Images - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions - Ping Lu; Wenjia Bai; Daniel Rueckert; J. Alison Noble (Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, 2020)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation - Shuo Wang; Giacomo Tarroni; Chen Qin; Yuanhan Mo; Chengliang Dai; Chen Chen; Ben Glocker; Yike Guo; Daniel Rueckert; Wenjia Bai (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV, 2020)

Patch-Based Brain Age Estimation from MR Images - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface - Vitalis Vosylius; Andy Wang; Cemlyn Waters; Alexey Zakharov; Francis Ward; Loïc Le Folgoc; John Cupitt; Antonios Makropoulos; Andreas Schuh; Daniel Rueckert; Amir Alansary (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images - Guy Leroy; Daniel Rueckert; Amir Alansary (Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening - Jeremy Tan; Anselm Au; Qingjie Meng; Sandy FinesilverSmith; John M. Simpson; Daniel Rueckert; Reza Razavi; Thomas G. Day; David Lloyd; Bernhard Kainz (Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction - Esther Puyol-Antón; Chen Chen; James R. Clough; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Daniel Rueckert; Christopher A. Rinaldi; Andrew P. King (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I, 2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI - Chen Qin; Shuo Wang; Chen Chen; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III, 2020)

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation - Aydan Gasimova; Gavin Seegoolam; Liang Chen; Paul Bentley; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Ultrasound Video Summarization Using Deep Reinforcement Learning - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III, 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation - Chen Chen; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang; Liang Chen; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I, 2020)

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks - Robert Robinson; Qi Dou; Daniel Coelho de Castro; Konstantinos Kamnitsas; Marius de Groot; Ronald M. Summers; Daniel Rueckert; Ben Glocker (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain - Ahmed E. Fetit; John Cupitt; Turkay Kart; Daniel Rueckert (International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada, 2020)

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling - Ahmed E. Fetit; Amir Alansary; Lucilio Cordero-Grande; John Cupitt; Alice B. Davidson; A. David Edwards; Joseph V. Hajnal; Emer J. Hughes; Konstantinos Kamnitsas; Vanessa Kyriakopoulou; Antonios Makropoulos; Prachi A. Patkee; et al. (International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada, 2020)

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations - Jack Weatheritt; Daniel Rueckert; Robin Wolz (Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings, 2020)

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features - Ping Lu; Huaqi Qiu; Chen Qin; Wenjia Bai; Daniel Rueckert; J. Alison Noble (Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings, 2020)

Learning Cross-domain Generalizable Features by Representation Disentanglement - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging - Zhaohan Xiong; Qing Xia; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang; Pheng-Ann Heng; Dong Ni; et al. (CoRR, 2020)

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation - Masahiro Oda; Natsuki Shimizu; Kenichi Karasawa; Yukitaka Nimura; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert; Kensaku Mori (CoRR, 2020)

Ultrasound Video Summarization using Deep Reinforcement Learning - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)