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By: Adrian Dalca (Edited by) , Aristeidis Sotiras (Edited by) , Bartlomiej Papiez (Edited by) , Carole H. Sudre (Edited by) , Christian F. Baumgartner (Edited by) , Hamid Fehri (Edited by) , Koen Van Leemput (Edited by) , Ryutaro Tanno (Edited by) , Tal Arbel (Edited by) , William M. Wells (Edited by)
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For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.
GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
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