2023/11/08 | Events | Artificial Intelligence
Eighth ARTORG Seminar 2023 with Christian Baumgartner, University of Tübingen,
hosted by the AI in Medical Imaging lab.
Dr. Christian Baumgartner is leading the Independent Research Group for Machine Learning in Medical Image Analysis at the University of Tübingen, which is part of the Cluster of Excellence - Machine Learning for Science. Prior to his current position, he worked as a senior research engineer at PTC Vuforia, where he focused on the development of machine learning technology for augmented reality applications. Before that, he was a Post-doc at the Biomedical Image Computing Group at ETH Zürich, working with Prof. Ender
Konukoglu, and before that, he was a Post-doc in the Biomedical Image Analysis Lab with Prof. Daniel Rueckert. Dr. Baumgartner received his PhD in 2016 from the School of Biomedical Engineering & Imaging Sciences at King's College London, under the joint supervision of Prof. Andy King and Prof. Daniel Rueckert.
Over the last century, medical imaging has fundamentally revolutionised medicine. In this century, machine learning seems poised to once more revolutions healthcare. Applications in medical image analysis are among those that stand to gain the most from this new technology. It offers the promise to massively accelerate assessment of medical images, allow clinicians to make fewer mistakes, and open new possibilities in diagnosing and treatment of pathologies. As the rapid advancements in AI continue, questions regarding how the technology will be integrated into clinical workflows, and what technical requirements it must meet, become increasingly important. In this talk, I will give an overview of our group's research in the areas of interpretable and robust ML for medical image analysis which lie at the root of those questions.
Hybrid event: Join here for Zoom.