	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. Profile
	Dr. Morteza Ghahremani Post-Doc I am a Post-Doc in the Lab. Profile
	Fabian Bongratz PhD Candidate I am a PhD student with a focus on medical image processing, segmentation, and 3D reconstruction. My ultimate goal is to bring intelligent and robust algorithms into clinical practice. Before joining AI-Med, I completed the Master’s program Robotics, Cognition, Intelligence at TUM. Profile
	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. Profile
	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. Profile
	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. Profile
	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. Profile