ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.00603
  4. Cited By
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
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
    FaML
ArXivPDFHTML

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

10 / 10 papers shown
Title
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated
  MR Images
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
134
82
0
12 Mar 2024
Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
FedML
19
20
0
19 May 2023
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Vincent Jeanselme
Maria De-Arteaga
Zhe Zhang
Jessica Barrett
Brian D. M. Tom
FaML
33
11
0
13 Aug 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,773
0
29 Apr 2021
Reducing bias and increasing utility by federated generative modeling of
  medical images using a centralized adversary
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
122
40
0
18 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
246
488
0
31 Dec 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and
  Goals of Human Trust in AI
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
246
425
0
15 Oct 2020
The Future of Digital Health with Federated Learning
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
174
1,705
0
18 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
84
72
0
06 Mar 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
1