Lab profile
About MIC
The Division pioneers research in machine learning and information processing to improve cancer patient care through systematic image data analytics. They structure and quantify imaging information from multiple time-points and technologies (MRI, CT), linking it with clinical and biological parameters. As initiator and co-coordinator of the Helmholtz Imaging Platform, they pursue cutting-edge computer science developments with applications in and beyond medicine, focusing on semantic segmentation, object detection, unsupervised learning, and probabilistic modeling.
01 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
02 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- KPIs 2024 challenge: Advancing glomerular segmentation from patch- to slide-level.Medical image analysis · 2026
- In search of truth: evaluating concordance of AI-based anatomy segmentation models.Journal of medical imaging (Bellingham, Wash.) · 2026
- Privacy Leakage in Federated Learning in Radiology Reports: Comparative Evaluation of Tokenizer and Batch-Size Privacy Risks.JMIR medical informatics · 2026
03 · Updates
Updates and lab news
News and events from the lab’s own site.
- MAMA-MIA Challenge - Task 1AwardOct 15, 2025
- ODELIA Breast Cancer MRI Classification ChallengeAwardJun 11, 2025 · odelia2025.grand-challenge.org
- Leopoldina-Award for Young ScientistsAwardMar 1, 2025
04 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
05 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.