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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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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Ivan Ezhov

Research Scientist

Computational oncology, Physics-based machine learning, Inverse problems

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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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Alexander Ziller

PhD Student

Artifical Intelligence in Medicine, Privacy-preserving Machine Learning

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Alexander Berger

PhD Student

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

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Florian A. Hölzl

PhD Student

Artifical Intelligence in Medicine, Privacy-preserving Deep Learning

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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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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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Jiazhen Pan

PhD Student

Medical Imaging Computing, Semantic Segmentation, Medical Image Reconstruction

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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, Graph Neural Networks

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Leonhard Feiner

PhD Student

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

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Maik Dannecker

PhD Student

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

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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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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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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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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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Henrik von Kleist

Affliated Researcher

Interpretable AI, Uncertainty quantification in ML, Causal inference

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Florian Hinterwimmer

Affliated Researcher

Data Science in Medicine, Analysis and Diagnosis of Sarcoma, Data Engineering

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Franz Rieger

Affliated Researcher

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

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Hendrik Möller

Affiliated Researcher

MRI Segmentation, MRI Vertebrae Detection and Labeling, Transitional Vertebrae

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

We currently have no vacancies for PhDs or Post-Docs

Internships

Unfortunately we cannot host any external students for internships.

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