MEDFAIR: Benchmarking Fairness for Medical Imaging

4 October 2022

Papers citing "MEDFAIR: Benchmarking Fairness for Medical Imaging"

8 / 8 papers shown

Title
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 46 49 0 19 May 2022
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 50 37 0 01 Oct 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 85 137 0 20 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 199 338 0 17 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 280 3,347 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 200 619 0 17 Feb 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 270 2,696 0 15 Sep 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 145 22,469 0 09 Jun 2011