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Invited Talk – Christian Baumgartner – The next decade in automated medical image analysis, Tue Oct 26th, 2021, 15h CET

It’s a great pleasure to welcome Christian Baumgartner as invited speaker to our lab!

Title: The next decade in automated medical image analysis
Date: Tue Oct 26th, 2021, 15h CET
Registration: https://fau.zoom.us/webinar/register/WN_0Ls3oiUeTGCfBbIJ_ejjzQ

Abstract: Adoption of machine learning in many fields is exceeding expert predictions and the technology is in many ways already shaping our daily lives. Machine learning certainly also has the potential to transform our health care system, however, so far clinical adoption has been hesitant. In my research, I am primarily concerned with using machine learning for extracting information from medical images. In this talk I want to explore the specific benefit this technology can bring us, the reasons why it is not yet spread more widely in clinical practice, and what topics we, as the research community, must address before ML-enhanced medical image analysis can be used on a large scale to benefit patients.

Short Bio: Dr. Christian Baumgartner is currently heading the Machine Learning for Medical Image Analysis Group at the University of Tübingen. Christian completed his PhD in 2016 under the joint supervision of Prof. Andy King and Prof. Daniel Rueckert at King’s College London in the School of Biomedical Engineering & Imaging Sciences. He further pursued his research interests in machine learning for medical images as a Post-doc, first at Imperial College London with Prof. Daniel Rueckert, and then at ETH Zürich with Prof. Ender Konukoglu. Christian then worked as a senior research engineer at PTC Vuforia Zürich for a year before joining the University of Tübingen in his current role in February 2021.