is Professor for AI for Image-Guided Diagnosis and Therapy at TU Munich.
His 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.
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