Improving the Fairness of Chest X-ray Classifiers

Improving the Fairness of Chest X-ray Classifiers

23 March 2022

Natalie Dullerud

Lauren Oakden-Rayner

Stephen R. Pfohl

Marzyeh Ghassemi

Papers citing "Improving the Fairness of Chest X-ray Classifiers"

10 / 10 papers shown

Title
Evaluating and Mitigating Bias in AI-Based Medical Text Generation Xiuying Chen Tairan Wang Juexiao Zhou Zirui Song Xin Gao X. Zhang MedIm 37 0 0 24 Apr 2025
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports L. Moukheiber Mira Moukheiber Dana Moukheiiber Jae-Woo Ju Hyung-Chul Lee LM&MA 70 0 0 04 Mar 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 68 1 0 05 Oct 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 22 0 0 28 Jun 2024
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction Yuning Du Yuyang Xue R. Dharmakumar Sotirios A. Tsaftaris 10 6 0 25 Sep 2023
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 14 17 0 10 Nov 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 31 11 0 13 Aug 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 210 663 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016