Technical University of Munich – Klinikum rechts der Isar

The university hospital of the Technical University of Munich,  Klinikum rechts der Isar, is now among the 20 best hospitals in the world (Newsweek 2023). Patients at Klinikum rechts der Isar benefit from cutting-edge research in areas such as cancer research, neurology, immune research and cardiology. In addition, the hospital and the Department of Medicine cooperate closely with TUM’s other fields of research. This results in numerous advantages for research, teaching and patient care. For example, at TranslaTUM, the Center for Translational Cancer Research, researchers from medicine, engineering and the natural sciences work together to find new approaches to cancer treatment and bring them into application as quickly as possible. As an interdisciplinary research institute, the Munich Institute for Biomedical Engineering (MIBE) brings together researchers from almost all TUM Schools to develop methods for the prevention, diagnosis and treatment of diseases. In the future, new approaches in the fields of data science and artificial intelligence in medicine will be developed at the Center for Digital Medicine and Health and brought into clinical application.

Role of institution in the project

TUM-MRI will lead the development of privacy-preserving federated learning for medical images (Task 6.3).

Prof. Dr. Daniel Rückert

Professor Rückert’s field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, registration, segmentation, traching and modelling; (2) AI for extracting clinically useful information from biomedical images – especially for computer-assisted diagnosis and prognosis. Since 2020, Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also a Professor at Imperial College London. He gained a MSc from Technical University Berlin in 1993, a PhD from Imperial College in 1997, followed by a post-doc at King’s College London. In 1999 he joined Imperial College as a Lecturer, becoming Senior Lecturer in 2003 and full Professor in 2005. From 2016 to 2020 he served as Head of the Department of Computing at Imperial College.

Georg Kaissis

Georg Kaissis is an adjunct assistant professor at TUM, where he leads the Privacy-Preserving and Trustworthy Artificial Intelligence research group at the Institute for Artificial Intelligence in Medicine. He also lead the Reliable AI research group at Helmholtz Zentrum Munich. He obtained his medical degree from LMU Munich, Master's Degree in Health Business Administration from FAU Nuremberg and a specialist diagnostic radiologist board certification at the Institute for Diagnostic and Interventional Radiology at TUM, where he serves as a consultant radiologist. He did his post-doc in Artificial Intelligence at the Department of Computing at Imperial College London. His research focuses on privacy-preserving AI and in particular Differential Privacy and its applications to medical deep learning.

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