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FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
v1v2 (latest)

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification

20 December 2024
Yicheng Gao
Jinkui Hao
Bo Zhou
ArXiv (abs)PDFHTML

Papers citing "FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification"

23 / 23 papers shown
Title
A Unified Debiasing Approach for Vision-Language Models across
  Modalities and Tasks
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung
T. Jang
Xiaoqian Wang
VLM
86
3
0
10 Oct 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin
Zikang Xu
Yuan Zhong
Qiongsong Yao
Qi Dou
S. Kevin Zhou
Xiaoxiao Li
VLM
117
17
0
01 Jul 2024
Unveiling Fairness Biases in Deep Learning-Based Brain MRI
  Reconstruction
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Yuning Du
Yuyang Xue
R. Dharmakumar
Sotirios A. Tsaftaris
86
6
0
25 Sep 2023
On Fairness of Medical Image Classification with Multiple Sensitive
  Attributes via Learning Orthogonal Representations
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
92
18
0
04 Jan 2023
Addressing Fairness Issues in Deep Learning-Based Medical Image
  Analysis: A Systematic Review
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
186
21
0
27 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive
  Learning
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
145
22
0
22 Aug 2022
A Penalty Approach for Normalizing Feature Distributions to Build
  Confounder-Free Models
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models
Anthony Vento
Qingyu Zhao
Robert Paul
K. Pohl
Ehsan Adeli
62
9
0
11 Jul 2022
Improving the Fairness of Chest X-ray Classifiers
Improving the Fairness of Chest X-ray Classifiers
Haoran Zhang
Natalie Dullerud
Karsten Roth
Lauren Oakden-Rayner
Stephen Pfohl
Marzyeh Ghassemi
90
67
0
23 Mar 2022
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
138
183
0
27 Oct 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
...
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
94
341
0
21 Jul 2021
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to
  Data Imbalance in Deep Learning Based Segmentation
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
Esther Puyol-Antón
B. Ruijsink
Stefan K. Piechnik
S. Neubauer
S. Petersen
Reza Razavi
A. King
76
78
0
23 Jun 2021
Estimating and Improving Fairness with Adversarial Learning
Estimating and Improving Fairness with Adversarial Learning
Xiaoxiao Li
Ziteng Cui
Yifan Wu
Li Gu
Tatsuya Harada
MedIm
78
41
0
07 Mar 2021
Fairness by Learning Orthogonal Disentangled Representations
Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan
Nassir Navab
Abouzar Eslami
Shadi Albarqouni
FaMLOODCML
134
97
0
12 Mar 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
108
295
0
14 Feb 2020
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
118
623
0
22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest
  radiographs
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson
Tom Pollard
Nathaniel R. Greenbaum
M. Lungren
Chih-ying Deng
Yifan Peng
Zhiyong Lu
R. Mark
Seth Berkowitz
Steven Horng
MedIm
172
825
0
21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
275
2,622
0
21 Jan 2019
Identifying and Correcting Label Bias in Machine Learning
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang
Ofir Nachum
FaML
104
285
0
15 Jan 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim
Hyunwoo Kim
Kyungsu Kim
Sungjin Kim
Junmo Kim
OOD
92
411
0
26 Dec 2018
Active Fairness in Algorithmic Decision Making
Active Fairness in Algorithmic Decision Making
Alejandro Noriega-Campero
Michiel A. Bakker
Bernardo Garcia-Bulle
Alex Pentland
FaML
89
85
0
28 Sep 2018
Achieving Fairness through Adversarial Learning: an Application to
  Recidivism Prediction
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
C. Wadsworth
Francesca Vera
Chris Piech
FaML
99
180
0
30 Jun 2018
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
LM&MA
279
2,563
0
05 May 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
238
4,347
0
07 Oct 2016
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