Daniel Rueckert
Photo: Technical University of Munich

Clinical & Academic Collaborators

Daniel Rueckert

Alexander von Humboldt Professor of Artificial Intelligence in Healthcare and Medicine, TUM; Professor of Visual Information Processing, Imperial College London

Technical University of Munich (TUM) · Imperial College London

Daniel Rückert holds the Alexander von Humboldt Professorship for AI in Healthcare and Medicine at TUM (since 2020) and directs the Institute for AI and Informatics in Medicine at Klinikum rechts der Isar; he is also Professor of Visual Information Processing at Imperial College London. His research develops AI methods for biomedical image acquisition, analysis and interpretation. Honours include the Leibniz Prize (2025), Fellowship of the Royal Society (2025) and the MICCAI Enduring Impact Award (2024).

Research Collaboration and Funded Projects 3 filter all →

Publications 6 filter all →

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, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach

Springer, 2021

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