The Limits of Fair Medical Imaging AI In The Wild

The Limits of Fair Medical Imaging AI In The Wild

11 December 2023

Judy W. Gichoya

Marzyeh Ghassemi

Papers citing "The Limits of Fair Medical Imaging AI In The Wild"

10 / 10 papers shown

Title
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 51 1 0 25 Jun 2024
Analysing race and sex bias in brain age prediction Carolina Piçarra Ben Glocker 26 9 0 19 Sep 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar Amit Deshpande Ajay Sharma CML 21 1 0 19 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 40 10 0 02 May 2023
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 59 29 0 25 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 79 58 0 04 Oct 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim M. Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 53 53 0 02 Feb 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 227 202 0 21 Oct 2021
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 51 33 0 25 Aug 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015