The Medical Anomaly Detection Group (MANO) led by Philipp Seeböck develops machine learning methods for medical imaging, with a focus on anomaly detection, data efficiency, integration of medical knowledge, and explainability
Our group is part of the Computational Imaging Research Lab. Our vision is to develop adaptive and trustworthy AI systems that support both clinical practice and scientific discovery. As computational researchers, we work in close partnership with clinicians to ensure our models have real-world impact
Seeböck Group
Lead: Philipp Seeböck
Mohammed Kamran
Giuseppe Morgese
Dominik Hofer
Alexandru Pascov
Anna Will
Ayah El-Sharkawy
Bettina Roethlin
Christoph Stroblberger
David Holomcik
David Kreisler
Elias Marcon
Hans Kappler
Matthias Gröll
Maximilian Mayrhauser
Philip Meixner