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Healthcare
Technologies Strategic Advisory Team. In 2018, Schnabel was awarded a MICCAI Fellowship which is awarded annually to "a small number of senior members of the society in recognition of substantial scientific contributions to the MICCAI research field and service to the MICCAI community".
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Schnabel's research interests are in machine learning for biomedical imaging, in particular nonlinear motion modelling, multi-modality, dynamic and quantitative imaging with applications in cancer, neuroimaging, cardiovascular diseases, and fetal health.
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207:(Helmholtz Distinguished Professorship), and Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences at
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Schnabel is an elected member of the MICCAI Society Board (2017–21) and a
Technical Representative in the Administrative Committee of the
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264:(2017–19, re-elected 2020-22). She has been a member of the Scientific board of the
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Schnabel completed her Diplom (MSc equiv.) in computer science at
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French
Institute for Research in Computer Science and Automation
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where she became Full
Professor of Engineering Science in 2014.
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European
Laboratory for Learning and Intelligent Systems
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Multi-scale active shape description in medical imaging
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531:Institute of Electrical and Electronics Engineers
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231:in 1998. She held post-doctoral positions at
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277:She was elected as Fellow of the
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583:Computer vision researchers
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16:Computer imaging researcher
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542:on December 6, 2020
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285:References
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125:Website
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