Titlebook: Ethics and Fairness in Medical Imaging; Second International Esther Puyol-Antón,Ghada Zamzmi,Roy Eagleson Conference proceedings 2025 The E

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Conference proceedings 2025ed 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..

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0302-9743 I 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

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Mobile Information Service for Networksis bias in CNN-based AD diagnosis for these groups. We present a post-hoc bias mitigation technique that significantly improves fairness by reducing overdiagnosis and enhances reliability by improving calibration without compromising overall model accuracy. Code is available at: ..

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0302-9743 image analysis..The instance of EPIMI concentrates on topics surrounding open science, taking a critical lens on the subject..978-3-031-72786-3978-3-031-72787-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-319-70878-2model trained using Empirical Risk Minimization on a dataset containing a shortcut. In several cases, we close the gap on our clean baseline to the point that there is no statistically significant difference in performance. We also address the practical challenge of obtaining a clean oracle model, enhancing the method’s real-world applicability.

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