Computational pathology • Medical AI
Translating AI into precise, clinically meaningful pathology.
Pathology tremendously benefits from artificial intelligence (AI), as AI methods get better in identifying and characterizing specific diseases in digital medical images.
In our lab at the Technical University of Munich, we develop, apply and validate new models for cancer detection, segmentation and quantification in digital histological slides. Our work also targets genetic alterations, cancer subtyping and outcome prediction in support of better patient care.
We are located in the heart of Munich, next to the TUM Klinikum and the TranslaTUM for translational cancer research, which connects us with outstanding experts in medical domains, life sciences, computational biology and radiology, and many more.
Our affiliations
enable us to combine data, compute, domain expertise, mentorship, and more for forefront research and training, thus shaping the future of cancer treatment and research.
Selected projects and events
We participate in the BIGPICTURE EU-Project (see on cordis or imi).
- Seminars: join the Munich AI Lectures or the Kipoi Seminar.