Julia Schnabel
Julia Schnabel develops AI-supported models and methodologies for medical imaging.
Medical imaging and AI
AI applications for cardiovascular diseases, cancer, and neurology
Julia Schnabel is the Director of the Institute of Machine Learning in Biomedical Imaging at Helmholtz Munich. The computer scientist aims to optimize clinical imaging by applying machine learning.
To this end, she and her team are developing entirely new AI models. For example, these models detect subtle tissue changes at such an early stage that, ideally, physicians can intervene before the onset of clinical symptoms. Schnabel’s models also improve the quality of MRI scans: if they detect motion artifacts, for example, those caused by a beating heart or respiration, they correct them and still deliver high-quality, sharp images.
For her innovative AI models, Schnabel also integrates imaging data with other medical data sources, such as pathology data or electronic patient records. This enables more precise identification of disease mechanisms and tailoring treatments accordingly. Schnabel’s AI methods also enable predictions of treatment outcomes.
Julia Schnabel studied computer science at the Technical University of Berlin and earned her doctorate at University College London. She conducted research as a professor at the University of Oxford and King’s College London. She later held the position of Professor and Chair of Computational Imaging and AI in Medicine at the Technical University of Munich.
