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Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
23 June 2021
Esther Puyol-Antón
B. Ruijsink
Stefan K. Piechnik
S. Neubauer
S. Petersen
Reza Razavi
A. King
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Papers citing
"Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation"
48 / 48 papers shown
Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset
Aditya Parikh
Sneha Das
Aasa Feragen
86
0
0
31 Oct 2025
FairGRPO: Fair Reinforcement Learning for Equitable Clinical Reasoning
Shiqi Dai
Wei Dai
Jiaee Cheong
Paul Liang
FaML
OffRL
195
0
0
22 Oct 2025
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
80
0
0
20 Oct 2025
From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
Emma McMillian
Abhirup Banerjee
Alfonso Bueno-Orovio
3DV
173
0
0
01 Oct 2025
The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models
Partha Shah
Durva Sankhe
Maariyah Rashid
Zakaa Khaled
Esther Puyol-Antón
Tiarna Lee
Maram Alqarni
Sweta Rai
Andrew P. King
58
0
0
14 Sep 2025
Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models
Yuexuan Xia
Benteng Ma
Jiang He
Zhiyong Wang
Qi Dou
Yong Xia
VLM
166
0
0
26 Aug 2025
SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
Machine Learning for Biomedical Imaging (MLBI), 2025
Junyu Yan
Feng Chen
Yuyang Xue
Yuning Du
Konstantinos Vilouras
Sotirios A. Tsaftaris
Steven McDonagh
209
0
0
26 Aug 2025
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Mojtaba Kolahdouzi
Hatice Gunes
Ali Etemad
275
0
0
21 Apr 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
271
0
0
21 Mar 2025
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Yiqin Luo
Tianlong Gu
315
0
0
21 Dec 2024
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
334
0
0
20 Dec 2024
Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
R. C. Brioso
D. Dei
N. Lambri
P. Mancosu
M. Scorsetti
Daniele Loiacono
112
0
0
24 Sep 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
Yuyang Xue
Junyu Yan
Raman Dutt
Fasih Haider
Jingshuai Liu
Jingyu Sun
Sotirios A. Tsaftaris
229
6
0
13 Aug 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
124
2
0
05 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model
A. Alloula
Rima Mustafa
Daniel R. McGowan
Bartlomiej W. Papie.z
280
3
0
30 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin
Zikang Xu
Yuan Zhong
Qiongsong Yao
Qi Dou
S. Kevin Zhou
Xiaoxiao Li
VLM
395
43
0
01 Jul 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo
Minfei Shi
Muhammad Osama Khan
Muhammad Muneeb Afzal
Niraj Pudasaini
...
Luo Song
Ava Kouhana
T. Elze
Yi Fang
Mengyu Wang
VLM
312
76
0
29 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziru Niu
Hai Dong
•. A. K. Qin
338
5
0
18 Mar 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Ruinan Jin
Wenlong Deng
Minghui Chen
Xiaoxiao Li
MedIm
393
5
0
10 Mar 2024
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
Zikang Xu
Fenghe Tang
Quan Quan
Qingsong Yao
S. Kevin Zhou
324
4
0
08 Mar 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
International Conference on Learning Representations (ICLR), 2023
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
314
11
0
22 Nov 2023
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI
Machine Learning for Biomedical Imaging (MLBI), 2023
Paula Ramirez Gilliland
A. Uus
Milou P. M. van Poppel
I. Grigorescu
J. Steinweg
David F. A. Lloyd
K. Pushparajah
Andrew P. King
Maria Deprez
144
1
0
13 Nov 2023
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
Emma A. M. Stanley
Raissa Souza
Anthony J. Winder
Vedant Gulve
Kimberly Amador
Matthias Wilms
Nils D. Forkert
421
20
0
03 Nov 2023
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions
Ayhan Can Erdur
Daniel Scholz
Josef A. Buchner
Stephanie E. Combs
Daniel Rueckert
J. Peeken
100
2
0
04 Oct 2023
An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features
Mohamed Huti
Tiarna Lee
Elinor Sawyer
Andrew P. King
137
14
0
29 Sep 2023
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Yuning Du
Yuyang Xue
R. Dharmakumar
Sotirios A. Tsaftaris
254
7
0
25 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S Stone
P. E. Chavarrias-Solano
A. Bulpitt
David C. Hogg
Sharib Ali
UQCV
231
0
0
13 Sep 2023
Unsupervised bias discovery in medical image segmentation
Nicolás Gaggion
Rodrigo Echeveste
Lucas Mansilla
Diego H. Milone
Enzo Ferrante
180
1
0
01 Sep 2023
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Keana Aitcheson
Miaojing Shi
A. King
179
13
0
25 Aug 2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
Sadhana Lolla
I. Elistratov
Alejandro Perez
Elaheh Ahmadi
Daniela Rus
Alexander Amini
UQCV
83
1
0
01 Aug 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
L. Delong
Ramon Fernández Mir
Zonglin Ji
Fiona Niamh Coulter Smith
Jacques D. Fleuriot
181
2
0
17 Jul 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zikang Xu
Shang Zhao
Quan Quan
Qingsong Yao
S. Kevin Zhou
318
21
0
15 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Raghav Mehta
Changjian Shui
Tal Arbel
206
19
0
06 Mar 2023
Fair contrastive pre-training for geographic image segmentation
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Miaohui Zhang
R. Chunara
147
2
0
16 Nov 2022
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
622
39
0
27 Sep 2022
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Miaojing Shi
A. King
142
18
0
04 Sep 2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Arezou Pakzad
Kumar Abhishek
Ghassan Hamarneh
254
26
0
29 Aug 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
342
28
0
22 Aug 2022
A Study of Demographic Bias in CNN-based Brain MR Segmentation
Stefanos Ioannou
Hana Chockler
A. Hammers
A. King
106
22
0
13 Aug 2022
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Leonie Henschel
David Kügler
D. Andrews
C. Nordahl
M. Reuter
220
0
0
29 Jun 2022
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
205
56
0
21 Mar 2022
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Huifeng Yao
Xiaowei Hu
Xuelong Li
188
131
0
21 Jan 2022
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
297
53
0
01 Oct 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
359
79
0
20 Sep 2021
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
742
84
0
26 Aug 2021
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Xiao Liu
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
311
61
0
24 Jun 2021
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
Nadine Chang
Jayanth Koushik
Aarti Singh
M. Hebert
Yu-Xiong Wang
Michael J. Tarr
146
0
0
17 Aug 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling
Machine Learning for Biomedical Imaging (MLBI), 2020
Lucas Fidon
Michael Aertsen
Thomas Deprest
Doaa Emam
Frédéric Guffens
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Vercauteren
OOD
324
10
0
08 Jan 2020
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