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Lecture Notes in Computer Science: Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024...
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Lecture Notes in Computer Science: Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings
Puyol-Antón, Esther; Zamzmi, Ghada; Feragen, Aasa; King, Andrew P.; Cheplygina, Veronika; Ganz-Benjaminsen, Melanie; Ferrante, Enzo; Glocker, Ben; Petersen, Eike; Baxter, John S. H.; Rekik, Islem; Eagleson, Roy
This book constitutes the refereed proceedings of the Second International Workshop, FAIMI 2024, and the Third International Workshop, EPIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, in October 2024.
The 17 full papers presented in this book were carefully reviewed and selected from 21 submissions.
FAIMI aimed to raise awareness about potential fairness issues in machine learning within the context of biomedical image analysis.
The instance of EPIMI concentrates on topics surrounding open science, taking a critical lens on the subject.
Details
Published by: Springer
Publication Date: 2024-10-13
Format: Paperback
ISBN-13: 9783031727863
DOI: 10.1007/978-3-031-72787-0
Dimensions: 235cm x155cm
Pages: 190