Algorithm Fairness in AI for Medicine and Healthcare

Algorithm Fairness in AI for Medicine and Healthcare

1 October 2021

Richard J. Chen

Tiffany Y. Chen

Jana Lipkova

Drew F. K. Williamson

Papers citing "Algorithm Fairness in AI for Medicine and Healthcare"

9 / 9 papers shown

Title
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images Michael Götz C. Weber F. Binczyk Joanna Polańska R. Tarnawski B. Bobek-Billewicz Ullrich Kothe Jens Kleesiek B. Stieltjes Klaus H. Maier-Hein 41 82 0 12 Mar 2024
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 26 11 0 13 Aug 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 280 4,299 0 29 Apr 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jean-Francois Rajotte S. Mukherjee Caleb Robinson Anthony Ortiz Christopher West J. L. Ferres R. Ng FedML MedIm 120 35 0 18 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 225 485 0 31 Dec 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 230 417 0 15 Oct 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 161 1,349 0 18 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 74 72 0 06 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 203 663 0 17 Feb 2018