Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images

Differentially Private Graph Neural Networks for Whole-Graph Classification

Auteurs: Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ISSN 1939-3539
Éditeur: IEEE Computer Society
DOI: 10.1109/tpami.2022.3228315

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations

Auteurs: Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
Publié dans: IEEE Transactions on Medical Imaging, Numéro 43, 2024, Page(s) 2061-2073, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2024.3354408

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy

Auteurs: Mengyun Qiao; Shuo Wang; Huaqi Qiu; Antonio De Marvao; Declan P. O’Regan; Daniel Rueckert; Wenjia Bai
Publié dans: IEEE Transactions on Medical Imaging, 2023, ISSN 1558-254X
Éditeur: IEEE Computer Society
DOI: 10.1109/tmi.2023.3331982

Topology Optimization in Medical Image Segmentation with Fast χ Euler Characteristic

Auteurs: Liu Li, Qiang Ma, Cheng Oyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
Publié dans: IEEE Transactions on Medical Imaging, 2025, Page(s) 1-1, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2025.3589495

Specialized curricula for training vision language models in retinal image analysis

Auteurs: Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunović, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, null null, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s41746-025-01893-8

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging

Auteurs: Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
Publié dans: Medical Image Analysis, Numéro 101, 2025, Page(s) 103451, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2024.103451

Enhancing MR image segmentation with realistic adversarial data augmentation

Auteurs: Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Publié dans: Medical Image Analysis, 2022, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2022.102597

Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling

Auteurs: Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Publié dans: IEEE Transactions on Medical Imaging, Numéro 44, 2025, Page(s) 221-231, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2024.3435015

Deformable image registration of dark‐field chest radiographs for functional lung assessment

Auteurs: Fabian Drexel, Vasiliki Sideri‐Lampretsa, Henriette Bast, Alexander W. Marka, Thomas Koehler, Florian T. Gassert, Daniela Pfeiffer, Daniel Rueckert, Franz Pfeiffer
Publié dans: Medical Physics, Numéro 52, 2025, ISSN 0094-2405
Éditeur: American Association of Physicists in Medicine
DOI: 10.1002/mp.18023

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation

Auteurs: Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publié dans: IEEE Transactions on Medical Imaging, Numéro 43, 2024, Page(s) 2420-2433, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2024.3364504

Using UK Biobank data to establish population-specific atlases from whole body MRI

Auteurs: Sophie Starck, Vasiliki Sideri-Lampretsa, Jessica J. M. Ritter, Veronika A. Zimmer, Rickmer Braren, Tamara T. Mueller, Daniel Rueckert
Publié dans: Communications Medicine, Numéro 4, 2024, ISSN 2730-664X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s43856-024-00670-0

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases

Auteurs: Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
Publié dans: IEEE Transactions on Medical Imaging, 2025, Page(s) 1-1, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2025.3595421

A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks

Auteurs: Ediem Al-jibury, James W. D. King, Ya Guo, Boris Lenhard, Amanda G. Fisher, Matthias Merkenschlager, Daniel Rueckert
Publié dans: Nature Communications, Numéro 14, 2023, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-023-40547-9

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI

Auteurs: Jiazhen Pan; Manal Hamdi; Wenqi Huang; Kerstin Hammernik; Thomas Kuestner; Daniel Rueckert
Publié dans: Medical Image Analysis, 2024, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2023.103017

Reconciling privacy and accuracy in AI for medical imaging

Auteurs: Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Publié dans: Nature Machine Intelligence, Numéro 6, 2024, Page(s) 764-774, ISSN 2522-5839
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s42256-024-00858-y

Self-supervised feature learning for cardiac Cine MR image reconstruction

Auteurs: Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Publié dans: IEEE Transactions on Medical Imaging, 2025, Page(s) 1-1, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2025.3570226

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Auteurs: Karim Lekadir, Alejandro F Frangi, Antonio R Porras, Ben Glocker, Celia Cintas, Curtis P Langlotz, Eva Weicken, Folkert W Asselbergs, Fred Prior, Gary S Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck M Amugongo, Lauren A Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis M
Publié dans: BMJ, 2025, Page(s) e081554, ISSN 1756-1833
Éditeur: BMJ
DOI: 10.1136/bmj-2024-081554

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs

Auteurs: Qiang Ma, Liu Li, Emma C Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
Publié dans: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3206221

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

Auteurs: Qingjie Meng; Wenjia Bai; Declan P O’Regan; Daniel Rueckert
Publié dans: IEEE Transactions on Medical Imaging, 2023, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2023.3340118

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation

Auteurs: Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Publié dans: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3224067

AI-driven preclinical disease risk assessment using imaging in UK biobank

Auteurs: Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s41746-025-01771-3

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction

Auteurs: Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
Publié dans: Medical Image Analysis, Numéro 100, 2024, Page(s) 103394, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2024.103394

Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

Auteurs: Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
Publié dans: Communications Medicine, Numéro 4, 2024, ISSN 2730-664X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s43856-024-00462-6

Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

Auteurs: Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastao Cruz, Kerstin Hammernik, Thierry Blu, Daniel Rueckert, René Botnar, Claudia Prieto and Sergios Gatidis
Publié dans: APSIPA Transactions on Signal and Information Processing, 2022, ISSN 2048-7703
Éditeur: Cambridge University Press
DOI: 10.1561/116.00000039

Retinal small vessel pathology is associated with disease burden in multiple sclerosis

Auteurs: Rebecca Wicklein, Linus Kreitner, Anna Wild, Lilian Aly, Daniel Rueckert, Bernhard Hemmer, Thomas Korn, Martin J Menten, Benjamin Knier
Publié dans: Multiple Sclerosis Journal, Numéro 30, 2025, Page(s) 812-819, ISSN 1352-4585
Éditeur: SAGE Publications
DOI: 10.1177/13524585241247775

Evaluation and mitigation of the limitations of large language models in clinical decision-making

Auteurs: Paul Hager, Friederike Jungmann, Robbie Holland, Kunal Bhagat, Inga Hubrecht, Manuel Knauer, Jakob Vielhauer, Marcus Makowski, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Publié dans: Nature Medicine, Numéro 30, 2024, Page(s) 2613-2622, ISSN 1078-8956
Éditeur: Nature Publishing Group
DOI: 10.1038/s41591-024-03097-1

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging

Auteurs: Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastao Cruz, Daniel Rueckert, Kerstin Hammernik
Publié dans: Information Processing in Medical Imaging, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-34048-2_42

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations

Auteurs: 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
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-43993-3_17

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging

Auteurs: Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-16446-0_65

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Auteurs: Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
Publié dans: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-44336-7_1

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients

Auteurs: Ziller, Alexander; Erdur, Ayhan Can; Jungmann, Friederike; Rueckert, Daniel; Braren, Rickmer; Kaissis, Georgios
Publié dans: IEEE International Symposium on Biomedical Imaging, 2023
Éditeur: IEEE Computer Society
DOI: 10.1109/isbi53787.2023.10230324

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

Auteurs: Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publié dans: International Workshop on Machine Learning for Medical Image Reconstruction, 2021
Éditeur: Springer
DOI: 10.1007/978-3-030-88552-6_2

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling

Auteurs: Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt-Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-43999-5_22

Body Fat Estimation from Surface Meshes Using Graph Neural Networks.

Auteurs: Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Publié dans: Shape in Medical Imaging, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-46914-5_9

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging

Auteurs: Wenqi Huang, Veronika Spieker, Siying Xu, Gastao Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Kuestner, Daniel Rueckert
Publié dans: Lecture Notes in Computer Science, Information Processing in Medical Imaging, 2025, Page(s) 168-183
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-96628-6_12

ChEX: Interactive Localization and Region Description in Chest X-Rays

Auteurs: Philip Müller, Georgios Kaissis, Daniel Rueckert
Publié dans: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024, Page(s) 92-111
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72664-4_6

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Auteurs: Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
Publié dans: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Page(s) 359-369
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72378-0_34

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Auteurs: 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
Publié dans: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Page(s) 614-624
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72104-5_59

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