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.

About us

Meet the Team

Chair

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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

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Sandra Mayer

Helmholtz Center Munich

Administrative Assistant

Project Management and Administration, Team Management and Support, Communication and Relations

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Sabine Franke

Technical University Munich

Administrative Assistant

Project Management and Administration, Team Management and Support, Communication and Relations

Principal Investigators

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Georgios Kaissis

Helmholtz Center Munich

Principal Investigator

Reliable artificial intelligence, Medical image computing, Probabilistic methods

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Veronika Zimmer

Technical University Munich

Principal Investigator

Medical Image Computing, Ultrasound Image Analysis, Fetal Image Analysis

Senior Researchers

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Simona Bottani

Helmholtz Center Munich

Research Scientist

Deep learning, Big data sets, Brain imaging

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Maxime Di Folco

Helmholtz Center Munich

Research Scientist

Representation learning, Cardiac imaging

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Daniel M. Lang

Helmholtz Center Munich

Research Scientist

Self-supervised Learning, Transfer Learning, Survival Analysis

Researchers

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Cosmin I. Bercea

Technical University of Munich

Helmholtz Center Munich

PhD Student

Interpretable Machine Learning, Anomaly Detection

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Hannah Eichhorn

Technical University Munich

Helmholtz Center Munich

PhD student

Magnetic Resonance Imaging, Deep learning, Image reconstruction

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Veronika Spieker

Technical University Munich

Helmholtz Center Munich

PhD Student

Machine Learning, Magnetic Resonance Imaging, Motion Detection & Correction

Teaching

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Deep Medical Anomaly Segmentation

Deep Medical Anomaly Segmentation

Winter semester 2022. TUM Informatics. Master Seminar.

Medical Image Registation I (IN2107)

Medical Image Registation I (IN2107)

Summer semester 2022. TUM Informatics. Master Seminar. Details

Artificial Intelligence in Medicine (IN2403)

Artificial Intelligence in Medicine (IN2403)

Winter 2021. TUM Informatics. Lecture. Details.

Artificial Intelligence in Medicine II (IN2408)

Artificial Intelligence in Medicine II (IN2408)

Summer 2022. TUM Informatics. Lecture. Details.

Helmholtz Center Munich

Institute of Machine Learning in Biomedical Imaging

Technical University Munich

Faculty of Informatics and Institute for Advanced Study