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DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
Lecture Notes in Computer Science: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
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Lecture Notes in Computer Science: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Kamnitsas, Konstantinos; Koch, Lisa; Islam, Mobarakol; Xu, Ziyue; Cardoso, Jorge; Dou, Qi; Rieke, Nicola; Tsaftaris, Sotirios
This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022.
DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
Details
Published by: Springer
Publication Date: 2022-09-20
Format: Paperback
ISBN-13: 9783031168512
DOI: 10.1007/978-3-031-16852-9
Dimensions: 235cm x155cm
Pages: 147