Advancing pathology with interpretable, clinically reliable AI.

The Munich Center for Computational Pathology unites pathologists, AI scientists, and disease experts from TUM, LMU, and Helmholtz Munich to develop trustworthy AI for medical imaging, diagnostics, and translational research.

Collaborative network LMU, TUM, Helmholtz Munich, and regional clinical partners share expertise, knowledge, and data. This ensures high quality research and cutting-edge science. Munich map showing TUM, LMU, and Helmholtz Munich locations
Research focus Pathology foundation models, interpretable AI, and real-world clinical application are only three of our focuses. Our research interests covers the full spectrum of medical and diagnostic AI. Research focus
Goal Deliver AI tools that support diagnosis, therapy selection, and patient care. Discover new, actionable insights for improved treatments strategies through AI-driven research. Pathology tools and goal

Principal Investigators

Dr. Paolo Casale

Dr. Paolo Casale  

Helmholtz Munich

AI for Imaging Genetics
Prof. Dr. Frederick Klauschen

Prof. Dr. Frederick Klauschen

LMU

Pathologist
Prof. Dr. Carsten Marr

Prof. Dr. Carsten Marr

LMU & Helmholtz

Scientist
Dr. Andreas Mock

Dr. Dr. Andreas Mock  

LMU

Pathologist
Prof. Dr. Carolin Mogler

Prof. Dr. Carolin Mogler

TUM

Pathologist
Dr. Tingying Peng

Dr. Tingying Peng  

Helmholtz Munich

Scientist
Prof. Dr. Peter Schüffler

Prof. Dr. Peter Schüffler  

TUM

Scientist
PD Dr. Katja Steiger

PD Dr. Katja Steiger

TUM

Vet. Pathologist, Scientist
Dr. Ewa Szczurek

Dr. Ewa Szczurek

Helmholtz Munich

Scientist
Prof. Dr. Benedikt Wiestler

Prof. Dr. Benedikt Wiestler  

TUM

Radiologist, Scientist

Research

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Our Seminars

We are currently setting up our seminar series. Stay tuned for updates!