The Role of Subgroup Separability in Group-Fair Medical Image
Classification

The Role of Subgroup Separability in Group-Fair Medical Image Classification

6 July 2023

Mélanie Roschewitz

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Papers citing "The Role of Subgroup Separability in Group-Fair Medical Image Classification"

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Title
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness Stephen Pfohl Natalie Harris Chirag Nagpal David Madras Vishwali Mhasawade ... Nnamdi Ezeanochie Heather Cole-Lewis Katherine Heller Sanmi Koyejo Alexander D’Amour 113 0 0 04 Jun 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 279 2 0 05 Oct 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 90 3 0 30 Jul 2024
Evaluating the Fairness of Neural Collapse in Medical Image Classification Kaouther Mouheb Marawan Elbatel Stefan Klein Esther E. Bron 127 0 0 08 Jul 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging Emma A. M. Stanley Raissa Souza Anthony J. Winder Vedant Gulve Kimberly Amador Matthias Wilms Nils D. Forkert 111 12 0 03 Nov 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 64 10 0 03 Oct 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 108 9 0 31 Jul 2023
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 170 19 0 27 Sep 2022