People

Chair

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Daniel Rückert

Professor of Artificial Intelligence in Healthcare and Medicine

Medical Image Computing, Data Science in Medicine, Artifical Intelligence in Medicine

Team Support

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Deborah Carraro

Executive Assistant

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

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Sabine Franke

Adminstrative Assistant

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

Senior Researchers

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Johannes C. Paetzold

Research Scientist

Graph representation learning, Computer vision, Biomedical image analysis

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Ivan Ezhov

Research Scientist

Computational oncology, Physics-based machine learning, Inverse problems

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Dr. rer. nat. Simone Gehrer

Scientific Manager

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Georgios Kaissis

Senior Research Scientist

Privacy-preserving artificial intelligence, Medical image computing, Probabilistic methods

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Martin Menten

Research Scientist

Weakly and unsupervised deep learning, Generative modeling, Ophthalmologic imaging

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Veronika Zimmer

Research Scientist

Medical Image Computing, Ultrasound Image Analysis, Fetal Image Analysis

Researchers

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Florian A. Hölzl

PhD Student

Artifical Intelligence in Medicine, Privacy-preserving Deep Learning

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Alexander Ziller

PhD Student

Artifical Intelligence in Medicine, Privacy-preserving Machine Learning

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Anna Curto Vilalta

PhD Student

Foundation Models, Multi-Modal Deep Learning, AI in Medical Imaging

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Alexander Berger

PhD Student

3D Medical Imaging, Weakly- and Self-supervised Transfer Learning, Domain Adaptation

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Alina Dima

PhD Student

Medical Imaging, Semantic Segmentation, Pancreatic Ductal Adenocarcinoma

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Aswathi

PhD Student

Medical Imaging Computing

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Ayhan Can Erdur

PhD Student

medical imaging, 3D computer vision, disease outcome prediction

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Daniel Scholz

PhD Student

self-supervised learning, representation learning, 3d image segmentation of brain MRIs

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Dmitrii Usynin

PhD Student

Artifical Intelligence in Medicine, Secure and Private Artificial Intelligence

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Felix Meissen

PhD Student

Anomaly Detection, Transfer Learning, Generative Models, Bayesian Learning

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Florent Dufour

PhD Student

AI in Medical Imaging, Trustworthy AI, Privacy Enhancing Technologies, Confidential Computing, Sovereign Cloud Computing

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Friederike Jungmann

PhD Student

human-in-the-loop-machine learning, interpretable artificial intelligence, medical image computing

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Haifa Beji

PhD Student

Artificial Intelligence in Medicine, Fairness and Bias in Healthcare

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Hendrik Möller

PhD Student

MRI Segmentation, MRI Vertebrae Detection and Labeling, Transitional Vertebrae

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Jiazhen Pan

PhD Student

Medical Imaging Computing, Semantic Segmentation, Medical Image Reconstruction

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Johannes Kaiser

PhD Student

AI in Medical Imaging, Privacy-preserving Machine Learning, Trustworthy Machine Learning

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Jonas Kuntzer

PhD Student

Mechanistic interpretability, Differential privacy

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Jonas Weidner

PhD Student

Personalized brain tumor modeling, Physics-informed neural networks, Diffusion tensor imaging, Topological data analysis

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Julian McGinnis

PhD Student

Medical Imaging, Implicit Neural Representations, Multiple Sclerosis Research

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Kristian Schwethelm

PhD Student

AI in Medical Imaging, Privacy-preserving Machine Learning, Differential Geometry

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Laurin Lux

PhD Student

AI in Biomedical Imaging, Graphs in Medical AI, Interpretable AI

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Leonhard Feiner

PhD Student

Machine Learning and Deep Learning, Medical Image Computing, Data Science

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Linus Kreitner

PhD Student

Weakly- and Selfsupervised Machine Learning, Network Dissection and Explainability, Causal Inference

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Maik Dannecker

PhD Student

Medical Imaging, Deep Learning, Biomarker Discovery, Demystifying The Human Brain

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Márton Szép

PhD Student

Natural Language Processing in Medicine, Generative Models, Multimodal AI

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Matan Atad

PhD Student

Generative Models and Latent Spaces, Unsupervised Learning, Graph Neural Networks

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Moritz Knolle

PhD Student

Differential Privacy, Fair & Trustworthy ML, Memorisation in Neural Networks

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Niklas Bubeck

PhD Student

Generative AI in Medical Imaging, Medical Image Reconstruction, Multi-Modal Foundation Models

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Özgün Turgut

PhD Student

Signal processing, Self-supervised learning, Multimodal AI

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Paul Hager

PhD Student

Medical Imaging Computing, Multi-modal Deep Learning, Genetics

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Philip Müller

PhD Student

Multi-Modal Learning, Natural Language Processing, Geometric Deep Learning

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Reihaneh Torkzadehmahani

PhD student

Privacy-preserving Machine Learning, Meta and Transfer Learning, Generative Models

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Reza Nasirigerdeh

PhD student

Privacy-preserving machine learning, Distributed systems, Medical imaging

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Ricardo Smits Serena

PhD Student

Medical Wearable Technology, Time Series Classification, Gait Analysis

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Robert Graf

PhD Student

Computer Vision for Spine Processing, Image2Image, Denoising Diffusion, Large Epidemiological Studies

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Sarah Lockfisch

PhD Student

AI in Medical Imaging, Interpretability in Deep Learning, Uncertainty Quantification

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Shuting Liu

PhD Student

Multi-modality Image Analysis, Domain Transfer

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Sophie Starck

PhD Student

Machine Learning, Geometric Deep Learning, Medical Image Computing

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Tamara Müller

PhD Student

Artificial Intelligence in Medicine, Geometric Deep Learning, Computational Neuroscience

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Vasiliki Sideri-Lampretsa

PhD Student

Artifical Intelligence in Medicine, Machine Learning and Deep Learning, Medical Imaging

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Wenke Karbole

PhD Student

Generative AI, Temporal Representation Modeling, Ophthalmologic Imaging

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Wenqi Huang

PhD Student

Image Reconstruction, Multi-Task Deep Learning

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Yundi Zhang

PhD Student

Deep Learning, Medical Image Computing, MRI

Collaborators

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Florian Hinterwimmer

Affiliated Researcher

Multimodal machine learning, Applied AI in musculoskeletal medicine, Data engineering and medical informatics

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Franz Rieger

Affliated Researcher

ML for connectomics, Self-supervised segmentation, ML for code

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Henrik von Kleist

Affliated Researcher

Interpretable AI, Uncertainty quantification in ML, Causal inference

Alumni

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Kerstin Hammernik

Research Scientist

Inverse Problems, Machine Learning, MRI, Medical Image Computing

Recent Publications

Teaching

Vacancies


We are recruiting team members who would like to join us for a MSc, BSc or guided research/interdisciplinary project on an ongoing basis! Please look under Teaching to find out which projects we are currently offering. If you’d like to join us for one of these projects, please get in touch by contacting the appropriate staff member via e-mail and attach a motivation letter, transcript of academic records and CV.

Current vacancies

PhD position: Physics-based and AI-Driven Spectral Imaging for Brain Surgery

We are currently recruiting a PhD student to work on an EIC Pathfinder Project (HyperProbe). The project aims to develop a new hyperspectral imaging instrumentation providing real-time monitoring of brain activity for patients diagnosed with glioma. The student will work on computational aspects of the project, designing physics- and data-driven algorithmic solutions for the reconstruction and analysis of hyperspectral data.

Qualifications

  • An MSc in Computational Sciences, Physics, or related disciplines
  • Programming experience with Python and/or ML frameworks (e.g. Pytorch)
  • Strong analytical and problem-solving skills
  • Excellent communication & interdisciplinary skills

How to apply

Please send your application documents (CV, transcripts, and a brief motivation) to ivan.ezhov@tum.de.

Notice for candidates with disabilities

Candidates with disabilities will be given preference if they are essentially of the same suitability and qualifications.

Internships

Unfortunately we cannot host any external students for internships.

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