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The Institute for AI and Informatics in Medicine (AIIM) at the Technical University of Munich (TUM) develops algorithms and models to improve medicine for patients and healthcare professionals. Their aim is to develop artificial intelligence and machine learning techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including:
– AI for the early detection, prediction, and diagnosis of diseases
– AI for personalised interventions and therapies
– AI for the identification of new biomarkers and targets for therapy
– Safe, robust, and interpretable AI approaches
– Privacy-preserving AI approaches
TUM has a particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development (in-utero and ex-utero), to improve the diagnosis and stratification of patients with dementia, stroke, and traumatic brain injury as well as for the comprehensive diagnosis and management of patients with cardiovascular disease and cancer.
The researchers at TUM have extensive experience in developing machine learning algorithms that “learn” to reconstruct images from the sensor data. The group was one of the first ones to employ dictionary learning to learn the optimal sparse basis representation for compressed sensing MR image reconstruction. It has also pioneered the development of deep learning approaches for MR image reconstruction. In this project, TUM develops similar approaches for hyper-spectral imaging. In addition to that, we develop algorithms for image analysis to identify biomarkers of brain activity.
Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at TUM where he directs the Institute for AI and Informatics in Medicine (AIIM). He is also a Professor in the Department of Computing at Imperial College London. He joined Imperial College as a Lecturer in 1999, becoming Senior Lecturer in 2003 and full Professor in 2005. From 2016 to 2020 he served as Head of the Department at Imperial College. He has founded the Biomedical Image Analysis group consisting of four academics, 15 post-docs and 20 PhD students. He received a Diploma in Computer Science (equiv. to M.Sc.) from the Technical University Berlin and a Ph.D. in Computer Science from Imperial College London. Before moving to Imperial College, he was a post-doctoral research fellow at King’s College London.
Ivan Ezhov is a postdoctoral researcher at the Institute for AI and Informatics in Medicine at TUM supervised. Before that, he did his Ph.D. in the Informatics Department and M.Sc. in the Physics Department at TUM.