Center for Translational Cancer Research (TranslaTUM)
Klinikum rechts der Isar, Trogerstr 1, 81675 Munich
(I always respond; if not, your email got stuck in a spam filter)
My research interest is motivated by the tremendous potential impact of making Deep Learning
-based computer vision applicable in everyday settings in clinical and pre-clinical research. This entails developing deep convolutional networks for detection, localization, and segmentation tasks in medical images of various modalities. Ensuring applicability in everyday settings typically requires elaborate strategies to deal with limited availability of annotated data, for instance making use of Transfer Learning
or Data Augmentation
I cooperate with Ali Ertürk's Lab
at the Helmholtz Center Munich
where I am leading the Artificial Intelligence Group. This work comprises research questions like automatic image segmentation and classification problems for general 3D anatomy, but also specific questions in the fields of stroke, dementia, and cancer.
The DeepMACT pipeline is an end-to-end procedure that enables highly automated detection and characterization of tumor micro-metastasis in large volumetric scans of whole cleared mice. This pipeline comprises two core technologies: DISCO tissue clearing and deep learning. For details, please refer to
If you are interested in student projects, please reach out to my IBBM colleagues directly.