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

Información del proyecto

Deep4MI

Identificador del acuerdo de subvención: 884622

DOI

10.3030/884622

Fecha de la firma de la CE 11 Septiembre 2020

Fecha de inicio 1 Enero 2021

Fecha de finalización 30 Junio 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 2 499 900,00

Aportación de la UE

€ 2 499 900,00

Coordinado por

KLINIKUM DER TECHNISCHEN UNIVERSITÄT MÜNCHEN (TUM KLINIKUM)
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (26)

Differentially Private Graph Neural Networks for Whole-Graph Classification

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

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

Autores: 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
Publicado en: IEEE Transactions on Medical Imaging, Edición 43, 2024, Página(s) 2061-2073, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2024.3354408

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

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

Topology Optimization in Medical Image Segmentation with Fast χ Euler Characteristic

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

Specialized curricula for training vision language models in retinal image analysis

Autores: 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
Publicado en: npj Digital Medicine, Edición 8, 2025, ISSN 2398-6352
Editor: 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

Autores: Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert
Publicado en: Medical Image Analysis, Edición 101, 2025, Página(s) 103451, ISSN 1361-8415
Editor: Elsevier BV
DOI: 10.1016/j.media.2024.103451

Enhancing MR image segmentation with realistic adversarial data augmentation

Autores: Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Publicado en: Medical Image Analysis, 2022, ISSN 1361-8415
Editor: 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

Autores: Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Publicado en: IEEE Transactions on Medical Imaging, Edición 44, 2025, Página(s) 221-231, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2024.3435015

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

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

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

Autores: Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publicado en: IEEE Transactions on Medical Imaging, Edición 43, 2024, Página(s) 2420-2433, ISSN 0278-0062
Editor: 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

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

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

Autores: Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
Publicado en: IEEE Transactions on Medical Imaging, 2025, Página(s) 1-1, ISSN 0278-0062
Editor: 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

Autores: Ediem Al-jibury, James W. D. King, Ya Guo, Boris Lenhard, Amanda G. Fisher, Matthias Merkenschlager, Daniel Rueckert
Publicado en: Nature Communications, Edición 14, 2023, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1038/s41467-023-40547-9

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI

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

Reconciling privacy and accuracy in AI for medical imaging

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

Self-supervised feature learning for cardiac Cine MR image reconstruction

Autores: Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Publicado en: IEEE Transactions on Medical Imaging, 2025, Página(s) 1-1, ISSN 0278-0062
Editor: 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

Autores: 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
Publicado en: BMJ, 2025, Página(s) e081554, ISSN 1756-1833
Editor: BMJ
DOI: 10.1136/bmj-2024-081554

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs

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

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

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

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

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

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

Autores: Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren
Publicado en: npj Digital Medicine, Edición 8, 2025, ISSN 2398-6352
Editor: 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

Autores: Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
Publicado en: Medical Image Analysis, Edición 100, 2024, Página(s) 103394, ISSN 1361-8415
Editor: Elsevier BV
DOI: 10.1016/j.media.2024.103394

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

Autores: Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
Publicado en: Communications Medicine, Edición 4, 2024, ISSN 2730-664X
Editor: 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

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

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

Autores: Rebecca Wicklein, Linus Kreitner, Anna Wild, Lilian Aly, Daniel Rueckert, Bernhard Hemmer, Thomas Korn, Martin J Menten, Benjamin Knier
Publicado en: Multiple Sclerosis Journal, Edición 30, 2025, Página(s) 812-819, ISSN 1352-4585
Editor: SAGE Publications
DOI: 10.1177/13524585241247775

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

Autores: Paul Hager, Friederike Jungmann, Robbie Holland, Kunal Bhagat, Inga Hubrecht, Manuel Knauer, Jakob Vielhauer, Marcus Makowski, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Publicado en: Nature Medicine, Edición 30, 2024, Página(s) 2613-2622, ISSN 1078-8956
Editor: Nature Publishing Group
DOI: 10.1038/s41591-024-03097-1

Conference proceedings (8)

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

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

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

Autores: 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
Publicado en: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023
Editor: Springer
DOI: 10.1007/978-3-031-43993-3_17

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

Autores: Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publicado en: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022
Editor: Springer
DOI: 10.1007/978-3-031-16446-0_65

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

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

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

Autores: Ziller, Alexander; Erdur, Ayhan Can; Jungmann, Friederike; Rueckert, Daniel; Braren, Rickmer; Kaissis, Georgios
Publicado en: IEEE International Symposium on Biomedical Imaging, 2023
Editor: IEEE Computer Society
DOI: 10.1109/isbi53787.2023.10230324

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

Autores: Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Publicado en: International Workshop on Machine Learning for Medical Image Reconstruction, 2021
Editor: Springer
DOI: 10.1007/978-3-030-88552-6_2

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

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

Body Fat Estimation from Surface Meshes Using Graph Neural Networks.

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

Book chapters (4)

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

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

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

Autores: Philip Müller, Georgios Kaissis, Daniel Rueckert
Publicado en: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024, Página(s) 92-111
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72664-4_6

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

Autores: Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
Publicado en: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Página(s) 359-369
Editor: 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

Autores: 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
Publicado en: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Página(s) 614-624
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72104-5_59