Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review

27 September 2022

Papers citing "Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review"

9 / 9 papers shown

Title
Analysing race and sex bias in brain age prediction Carolina Piçarra Ben Glocker 26 9 0 19 Sep 2023
Visualizing chest X-ray dataset biases using GANs Hao Liang Kevin Ni Guha Balakrishnan CML MedIm GAN 31 1 0 29 Apr 2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations Wenlong Deng Yuan Zhong Qianming Dou Xiaoxiao Li FaML 30 17 0 04 Jan 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 65 56 0 04 Oct 2022
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models Guilherme Pombo Robert J. Gray M. Jorge Cardoso Sebastien Ourselin G. Rees John Ashburner P. Nachev 29 16 0 29 Nov 2021
On the Fairness of Swarm Learning in Skin Lesion Classification Dian Fan Yifan Wu Xiaoxiao Li 27 19 0 24 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu X. Wang FaML 147 95 0 12 Sep 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 96 178 0 20 Apr 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 225 485 0 31 Dec 2020