Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis

6 March 2023

Papers citing "Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis"

13 / 13 papers shown

Title
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 77 1 0 17 Feb 2025
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection Jiaee Cheong Aditya Bangar Sinan Kalkan Hatice Gunes 81 1 0 17 Jan 2025
Evaluating the Fairness of Neural Collapse in Medical Image Classification Kaouther Mouheb Marawan Elbatel Stefan Klein Esther E. Bron 19 0 0 08 Jul 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 34 5 0 15 Mar 2024
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 21 3 0 17 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 33 21 0 09 Oct 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations Amar Kumar Nima Fathi Raghav Mehta Brennan Nichyporuk J. Falet Sotirios A. Tsaftaris Tal Arbel CML MedIm 6 3 0 21 Aug 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 27 9 0 02 May 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 71 56 0 04 Oct 2022
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 41 13 0 27 Sep 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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015