C. Baumgartner: Machine learning for medical image analysis and why clinicians are not using it

Before joining the University of Tübingen, Christian Baugartner worked in a senior research engineering role at PTC Vuforia, where he worked on research and development of machine learning technology for augmented reality applications. Prior to this, he was a Post-doc at the Biomedical Image Computing Group at ETH Zürich working with Prof. Ender Konukoglu, and before in the Biomedical Image Analysis Lab with Prof. Daniel Rueckert. He 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 obtained my Master’s degree in Biomedical Engineering and his Bachelor’s degree in Information Technology and Electrical Engineering from ETH Zürich.

This talk was part of the colloquium of the Cluster of Excellence "Machine Learning: New Perspective for Science" at the University of Tübingen.