We have the great honor to welcome Christian Baumgartner to our lab for an invited presentation!

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.

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References

Bernard, Olivier, Alain Lalande, Clement Zotti, Frederick Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin et al. "Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?." IEEE transactions on medical imaging 37, no. 11 (2018): 2514-2525.
Kamnitsas, Konstantinos, Christian Baumgartner, Christian Ledig, Virginia Newcombe, Joanna Simpson, Andrew Kane, David Menon et al. "Unsupervised domain adaptation in brain lesion segmentation with adversarial networks." In International conference on information processing in medical imaging, pp. 597-609. Springer, Cham, 2017.
Lorch, Benedikt, Ghislain Vaillant, Christian Baumgartner, Wenjia Bai, Daniel Rueckert, and Andreas Maier. "Automated detection of motion artefacts in MR imaging using decision forests." Journal of medical engineering 2017 (2017).
Tezcan, Kerem C., Christian F. Baumgartner, Roger Luechinger, Klaas P. Pruessmann, and Ender Konukoglu. "MR image reconstruction using deep density priors." IEEE transactions on medical imaging 38, no. 7 (2018): 1633-1642.

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Music Reference: 
Damiano Baldoni - Thinking of You (Intro)
Damiano Baldoni - Poenia (Outro)