Prof. Dr. Christian Wachinger

Principal Investigator

I am heading the laboratory for Artificial Intelligence in Medical Imaging. I have previously completed post-doctoral training at the Medical Vision Group in the Computer Science and Artificial Intelligence Lab at MIT and the Lab for Computational Neuroimaging, Department of Neurology at Harvard medical school. I received my PhD and Diploma from the Computer Science Department at TU München.

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Dr. Morteza Ghahremani

Post-Doc

I am a Post-Doc in the Lab.

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Fabian Bongratz

PhD Candidate

I am a PhD student interested in developing advanced medical image analysis systems for clinical applications, with a focus on surface-based neuroimaging. Before joining AI-Med, I completed the Master’s program Robotics, Cognition, Intelligence at TUM.
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Tom Nuno Wolf

PhD Candidate

I am a PhD candidate at TU Munich. I currently conduct research to integrate heterogeneous data in deep learning models for medical image analysis. Closely related, I work on causal inference for such models. Previously, I was a researcher in the biomedical image analysis group at VRVis and the Laboratory for Artificial Intelligence in Medical Imaging at LMU. I completed my master’s degree in Biomedical Computing at TU Munich.

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Bailiang Jian

PhD Candidate

I am a PhD student at AI-Med and Computational Imaging@TUM, focusing on medical image registration. My research interests are centered around developing novel algorithms and techniques to improve the speed and accuracy of medical image registration. Previously, I completed my master’s thesis on spine CT/MRI registration at IFL and earned my master’s degree in Biomedical Computing from TUM.

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Yitong Li

PhD Candidate

I am a PhD student at AI-Med. My research focuses on developing novel machine learning algorithms for medical image analysis, encompassing areas of generative models, self-supervised learning, and multi-modal learning. Previously, I completed my master’s degree in Biomedical Computing at TUM.

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Emre Kavak

PhD Candidate

I’m pursuing my PhD at the AI-Med lab, focusing on invariant prediction and causality in machine learning. ⁤⁤My research aims to enhance automatic decision-making systems, with an emphasis on developing algorithms that are interpretable, robust, and generalizable across different environments. Prior to my PhD, I completed my Master’s in Informatics at TUM.

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Alexandra Samoylova

PhD Candidate

I am a PhD candidate in the lab, interested in how the brain functions in both health and disease. My goal is to develop robust and transparent AI systems to assist clinicians in the early detection and treatment of neuropsychiatric conditions. Before joining the group, I completed my Master’s degree in Neuroengineering at TUM, and Bachelor’s degree in Bio & Brain engineering at KAIST, South Korea.
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Dr. med. Evamaria Riedel

Clinician Scientist

I am a researcher in the AI-Med lab and a resident in neuroradiology at TUM Clinic.
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Qihang Sun

PhD Candidate

I am a PhD student at AI-Med. My research focuses on medical imaging segmentation and medical imaging quality assessment. Prior to this, I completed my Master’s degree in Medicine at Xuzhou Medical University, during which I undertook clinical internships at two hospitals. I have a solid command of the principles and operation of CT and MRI. My current research focuses on pulmonary embolism and CT pulmonary angiography.
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Martin Rath

PhD Candidate

I am a PhD candidate interested in developing generative and reconstruction-based methods to extract richer information from medical imaging data. The goal I’m working towards is the creation of more robust and informative analysis workflows, with the aim of supporting better decision-making in clinical practice. Before joining the group, I completed my Master’s degree in Informatics at TUM with a focus on Machine Learning, Data Analytics, and Algorithms.
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