Team

 

wachinger

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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Anne-Marie Rickmann

PhD Candidate

I joined AI-Med as a PhD student in June 2019. My research focuses on developing Machine Learning solutions for Medical Image Analysis with a focus on segmentation. Previously I completed my master’s degree in Biomedical Computing at TUM and worked on my Master Thesis at AI-Med.

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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.

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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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Alumni