Prof. Dr. Benedikt Wiestler
Academic Career and Research Areas
Prof. Wiestler's research bridges the gap between medicine and computer science towards data-driven, personalized medicine for diagnosis and therapy. His research focuses on developing innovative computational analysis methods to extract actionable biomarkers for clinical decision-making from heterogeneous, multi-modal medical data. Translating these advancements into clinical application is a core motivation for his work.
Prof. Wiestler studied medicine at the Universities of Bonn and Heidelberg. In 2011, he received his doctorate from the University of Heidelberg on molecular mechanisms of glioma invasion and then conducted postdoctoral research at the German Cancer Research Center in Heidelberg. In 2018, he habilitated at the TUM and in 2020 became a senior physician at the Institute for Diagnostic and Interventional Neuroradiology. In 2024, he was appointed to the professorship "AI for Image-Guided Diagnosis and Therapy" at TUM.
Awards
- Best project presentation “Image Quality Transfer in MRI with Deep Neural Networks”, Medical Image Computing Summer School, University College London (2020)
- Kurt Decker Award, German Society of Neuroradiology (2019)
- 2nd Place “Lecturer of the Year”, Faculty of Medicine, TUM (2018)
- Fellowship of the German National Merit Foundation (2005 – 2009)
Key Publications (all publications)
McGinnis J, Shit S, Li HB, ..., Kirschke JS, Rueckert D, Wiestler B: "Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations". MICCAI 2023.
AbstractEzhov I, Scibilia K, Franitza K, ..., Metz M, Wiestler B*, Menze B* (equal contribution): "Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling". Medical Image Analysis. 2023; 83:102672.
AbstractBercea CI, Wiestler B, Rueckert D, Albarqouni S: "Federated disentangled representation learning for unsupervised brain anomaly detection". Nature Machine Intelligence. 2022; 4(8):685-695.
AbstractEichinger P, Schön S, Pongratz V, ..., Hemmer B, Mühlau M, Wiestler B: "Accuracy of Unenhanced MRI in the Detection of New Brain Lesions in Multiple Sclerosis". Radiology. 2019; 291(2):429-435.
AbstractWiestler B, Capper D, Sill M, ..., von Deimling A, Weller M, Wick W: "Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma". Acta Neuropathologica. 2014; 128(4):561-71.
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