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An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation
25 August 2023
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Keana Aitcheson
Miaojing Shi
A. King
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Papers citing
"An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation"
8 / 8 papers shown
Investigating Demographic Bias in Brain MRI Segmentation: A Comparative Study of Deep-Learning and Non-Deep-Learning Methods
Ghazal Danaee
Marc Niethammer
Jarrett Rushmore
Sylvain Bouix
93
0
0
20 Oct 2025
Understanding-informed Bias Mitigation for Fair CMR Segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Pier-Giorgio Masci
Andrew King
P. Chowienczyk
Emily Haseler
Miaojing Shi
Andrew P. King
279
0
0
21 Mar 2025
Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
R. C. Brioso
D. Dei
N. Lambri
P. Mancosu
M. Scorsetti
Daniele Loiacono
120
0
0
24 Sep 2024
An investigation into the causes of race bias in AI-based cine CMR segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
S. Roujol
Theodore Barfoot
S. Ogbomo-Harmitt
Miaojing Shi
Andrew P. King
131
2
0
05 Aug 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
International Conference on Machine Learning (ICML), 2024
Lujing Zhang
Aaron Roth
Linjun Zhang
FaML
304
10
0
03 May 2024
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
Zikang Xu
Fenghe Tang
Quan Quan
Qingsong Yao
S. Kevin Zhou
331
4
0
08 Mar 2024
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Zikang Xu
Fenghe Tang
Quan Quan
Jianrui Ding
C. Ning
S. Kevin Zhou
177
0
0
05 Dec 2023
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
651
41
0
27 Sep 2022
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