Mitigating Calibration Bias Without Fixed Attribute Grouping for
Improved Fairness in Medical Imaging Analysis

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Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

4 July 2023

Douglas L. Arnold

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Papers citing "Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis"

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Title
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles Xing Shen Hengguan Huang Brennan Nichyporuk Tal Arbel MedIm 136 4 0 01 Jul 2025
Achieve Fairness without Demographics for Dermatological Disease Diagnosis Ching-Hao Chiu Yu-Jen Chen Yawen Wu Yiyu Shi Tsung-Yi Ho 79 6 0 16 Jan 2024
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 88 5 0 17 Oct 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations Amar Kumar Nima Fathi Raghav Mehta Brennan Nichyporuk Jean-Pierre Falet Sotirios A. Tsaftaris Tal Arbel CML MedIm 55 5 0 21 Aug 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 110 90 0 05 Oct 2022