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By: (Edited by) Bennett Landman , (Edited by) Bishesh Khanal , (Edited by) Chen Qin , (Edited by) Islem Rekik , (Edited by) M. Jorge Cardoso , (Edited by) Nicola Rieke , (Edited by) Shadi Albarqouni , (Edited by) Sophia Bano , (Edited by) Spyridon Bakas , (Edited by) Xiaoxiao Li
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DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority.
For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.
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