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About this talk

Abstract to follow. Daniel Rueckert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Klinikum rechts der Isar, Technical University of Munich, where he is also Director of the Institute for AI and Informatics in Medicine. He is also a Professor of Visual Information Processing in the Department of Computing at Imperial College London. As part of his research activities, he has published over 500 journal and conference articles with over 100,000 citations (h-index 137), graduated over 50 PhD students and supervised and mentored over 40 post-docs. Currently, he is a senior member of the editorial board of Medical Image Analysis, and has served as an associate editor of IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern and Machine Intelligence and Image and Vision Computing and as a referee for several international journals and conferences in the area of Artificial Intelligence, Computer Vision and Medical Imaging. He has been elected as Fellow of the MICCAI Society (2014), Fellow of the Royal Academy of Engineering in the UK (2015), Fellow of the IEEE (2015), Fellow of the Academy of Medical Sciences in the UK (2019), Fellow of the German National Academy of Sciences Leopoldina (2023) and Fellow of the Royal Society in the UK (2025). In 2024 he received the MICCAI Enduring Impact Award for his contributions to medical image computing. He is recipient of the Gottfried Wilhelm Leibniz Prize (2025), which is the most important German research prize endowed with €2.5M by the German Research Foundation (DFG). The Strachey Lectures are generously supported by OxFORD Asset Management

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