ENGLISH

Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science)

By Lisa Koch (Editor) , Ziyue Xu (editor) , Konstantinos Kamnitsas (editor) , Mobarakol Islam (editor) , Jorge Cardoso (editor) , Qi Dou (editor) , Nicola Rieke (editor) , Sotirios Tsaftaris (editor)

Book information

Publisher
Springer
Year
2022
ISBN
3031168518, 9783031168512
Language
english
Format
PDF
Filesize
21 MB (21832732 bytes)
Pages
160\158
Time added
2024-03-21 15:30:03

Description

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.

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