About us
The Institute for Computational Imaging and AI in Medicine (CompAI) at TUM and the Institute of Machine Learning in Biomedical Imaging (IML) at Helmholtz Center Munich focus on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome. We are looking for team members, please contact us.
Meet the Team
Chair
Julia A. Schnabel
Technical University Munich
Helmholtz Center Munich
King's College London
Professor for Computational Imaging and AI in Medicine, Director of the Institute of Machine Learning in Biomedical Imaging
Biomedical Imaging, Artificial Intelligence in Medicine
Team Support
Sandra Mayer
Helmholtz Center Munich
Administrative Assistant
Project Management and Administration, Team Management and Support, Communication and Relations
Sabine Franke
Technical University Munich
Administrative Assistant
Project Management and Administration, Team Management and Support, Communication and Relations
Principal Investigators
Georgios Kaissis
Helmholtz Center Munich
Principal Investigator
Reliable artificial intelligence, Medical image computing, Probabilistic methods
Lina Felsner
Technical University of Munich
Helmholtz Center Munich
Principal Investigator
Medical Image Computing, Inverse Problems, Machine Learning
Senior Researchers
Cosmin I. Bercea
Technical University of Munich
TUM School of Medicine and Health
Research Scientist
Vision & Multimodal Learning, Generative AI, Foundation Models, Anomaly Detection
Emily Chan
Helmholtz Center Munich
King's College London
Research Scientist
Medical image computing, Transfer learning, Multi-modal learning
Laura Daza
Helmholtz Center Munich
Research Scientist
Medical image segmentation, Multi-modal Learning, Foundation models
Daniel M. Lang
Helmholtz Center Munich
Research Scientist
Self-supervised Learning, Transfer Learning, Survival Analysis
Researchers
Sameer Ambekar
Technical University of Munich
Helmholtz Center Munich
Doctoral Researcher
Domain Generalization, Meta Learning, Variational Inference
Hannah Eichhorn
Helmholtz Center Munich
Technical University Munich
Doctoral Researcher
Brain Magnetic Resonance Imaging, Image reconstruction & Motion Correction, Deep learning
Stefan Fischer
Technical University of Munich
MRI TUM Munich
Doctoral Researcher
Segmentation, Radiooncology, Transfer Learning/Curriculum Learning
Johannes Kiechle
Technical University of Munich
MRI TUM Munich
Doctoral Researcher
Shape Analysis, Representation Learning, Magnetic Resonance Imaging
Fryderyk Kögl
Technical University of Munich
MRI TUM Munich
Doctoral Researcher
Deep Learning-Based Image Registration, Data Curation & Visualisation, Neuronavigation
Jun Li
Technical University of Munich
Munich Center for Machine Learning (MCML)
Doctoral Researcher
Vision and Language, Multi-Modal Learning, Cross-Modality Generation
Anna Reithmeir
Technical University of Munich
Munich Center for Machine Learning (MCML)
Doctoral Researcher
Image Registration, Physics-Inspired Regularization, Manifold-Valued Data
Anneliese Riess
Technical University of Munich
Helmholtz Center Munich
Doctoral Researcher
Mathematical Foundations of Privacy Preserving AI, Probability Theory
Veronika Spieker
Technical University Munich
Helmholtz Center Munich
Doctoral Researcher
MRI Reconstruction, Motion Detection & Correction, Neural Implicit Representations
Visiting Researchers
Richard Osuala
BCN-AIM Lab, University of Barcelona
Helmholtz Center Munich
Doctoral Researcher (Visiting)
Generative AI, Image Synthesis, Medical Image Analysis
Chun Kit Wong
Section for Visual Computing, Technical University of Denmark
Pioneer Centre for Artificial Intelligence
Doctoral Researcher (Visiting)
Medical Image Analysis
Alumni
Simona Bottani
Helmholtz Center Munich
Research Scientist
Deep learning, Big data sets, Brain imaging
Veronika Zimmer
Technical University Munich
Principal Investigator
Medical Image Computing, Ultrasound Image Analysis, Fetal Image Analysis
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Publications
Featured
Teaching
Open Positions
If you are interested in our projects please contact us and attach a motivation letter, transcript of academic records and CV.
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