Speaker: Julia Schnabel, PhD, Technical University of Munich King’s College London
Date: Wednesday, January 18, 2023
Time: 10:00PM Central Time
Location: https://uwhealth.webex.com/uwhealth/j.php?MTID=m3d6052083b57341df46618bfc47e90a8
Title: “AI-Enabled Medial Imaging”
Bio: Julia Schnabel did an MSc in computer science at the Technical University Berlin in 1993, and a PhD in computer science at University College London (UCL) in 1998. After a string of postdocs at UCL, UMC Utrecht, and King’s College London, she became Associate Professor in Engineering Science (Medical Imaging) at the University of Oxford in 2007, and then full Professor in Engineering Science ) in 2014. In 2015 she returned to King’sCollege London as new Chair in Computational Imaging where she is still maintaining a part-time role. In 2021 Julia joined the Technical University of Munich as Professor for Computational Imaging and AI in Medicine (TUM Liesel Beckmann Distinguished Professorship), in conjunction with a Helmholtz Distinguished Professorship at Helmholtz Munich where she has founded a new Institute of Machine Learning in Biomedical Imaging.
Julia’s research interests are in machine/deep learning for image reconstruction, image quality, motion modelling, segmentation and classification tasks in cancer, cardiovascular diseases, neurology and fetal health. She is on Steering Committee member of IEEE TMI, Associate Editor of IEEE TPAMI on the Editorial Board of MedIA, and Executive Editor of Machine Learning in Biomedical Imaging (melba- journal.org)which she has co-founded. Julia was a Director of the international Medical Imaging Summer School (MISS), Programme Chair of MICCAI 2018, General Chair of IPMI 2021, and will be General Chair of MICCAI 2024 to be held in Africa for the first time. Julia currently is Executive Secretary to the MICCAI Society Board of Directors, Technical Representative to the IEEE EMBS Administrative Committee, and was elected Fellow of MICCAI (2018), ELLIS (2019) and IEEE (2021).