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CheXclusion: Fairness gaps in deep chest X-ray classifiers

CheXclusion: Fairness gaps in deep chest X-ray classifiers

14 February 2020
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
    OOD
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Papers citing "CheXclusion: Fairness gaps in deep chest X-ray classifiers"

50 / 137 papers shown
Title
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
Xinran Li
Yu Liu
Xiujuan Xu
Xiaowei Zhao
ViT
MedIm
13
0
0
16 May 2025
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
Haozhe Luo
Ziyu Zhou
Zixin Shu
Aurélie Pahud de Mortanges
Robert Berke
Mauricio Reyes
26
0
0
15 May 2025
Evaluating and Mitigating Bias in AI-Based Medical Text Generation
Evaluating and Mitigating Bias in AI-Based Medical Text Generation
Xiuying Chen
Tairan Wang
Juexiao Zhou
Zirui Song
Xin Gao
Xuzhi Zhang
MedIm
44
1
0
24 Apr 2025
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Amit Rand
Hadi Ibrahim
MedIm
54
0
0
03 Apr 2025
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation
Tiarna Lee
Esther Puyol-Antón
B. Ruijsink
Miaojing Shi
Andrew King
49
0
0
21 Mar 2025
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Nathan G. Drenkow
Mitchell Pavlak
Keith Harrigian
Ayah Zirikly
Adarsh Subbaswamy
Mathias Unberath
MLAU
69
1
0
13 Mar 2025
BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
Sonnet Xu
Joseph Janizek
Yixing Jiang
Roxana Daneshjou
VLM
70
0
0
04 Mar 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
Estanislao Claucich
Sara Hooker
Diego H. Milone
Enzo Ferrante
Rodrigo Echeveste
FedML
49
0
0
24 Jan 2025
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
Chengyang Ye
Yunzhi Zhuge
Pingping Zhang
VLM
39
0
0
27 Dec 2024
FairREAD: Re-fusing Demographic Attributes after Disentanglement for
  Fair Medical Image Classification
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
87
0
0
20 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in
  real-world medical applications
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
Francesco Cremonesi
Lucia Innocenti
Sebastien Ourselin
Vicky Goh
Michela Antonelli
Marco Lorenzi
FedML
107
0
0
09 Dec 2024
Uni-Mlip: Unified Self-supervision for Medical Vision Language
  Pre-training
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training
Ameera Bawazir
Kebin Wu
Wenbin Li
CLIP
77
1
0
20 Nov 2024
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced
  diffusion model
Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model
Peng Huang
Bowen Guo
Shuyu Liang
Junhu Fu
Yuanyuan Wang
Yi Guo
DiffM
MedIm
37
1
0
26 Oct 2024
FMBench: Benchmarking Fairness in Multimodal Large Language Models on
  Medical Tasks
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
Peiran Wu
Che Liu
Chong Chen
Jun Li
Cosmin I. Bercea
Rossella Arcucci
35
3
0
01 Oct 2024
Bias Assessment and Data Drift Detection in Medical Image Analysis: A
  Survey
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Andrea Prenner
Bernhard Kainz
40
0
0
26 Sep 2024
Self-Supervised Learning for Building Robust Pediatric Chest X-ray
  Classification Models
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
Sheng Cheng
Zbigniew A. Starosolski
Devika Subramanian
SSL
37
0
0
30 Aug 2024
The Data Addition Dilemma
The Data Addition Dilemma
Judy Hanwen Shen
Inioluwa Deborah Raji
Irene Y. Chen
37
5
0
08 Aug 2024
Domain Shift Analysis in Chest Radiographs Classification in a Veterans
  Healthcare Administration Population
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Mayanka Chandra Shekar
Ian Goethert
Md Inzamam Ul Haque
Benjamin H. McMahon
S. Dhaubhadel
...
Samah Fodeh-Jarad
Olga Ovchinnikova
Amy C. Justice
Jacob D. Hinkle
Ioana Danciu
OOD
55
1
0
30 Jul 2024
Regulating AI Adaptation: An Analysis of AI Medical Device Updates
Regulating AI Adaptation: An Analysis of AI Medical Device Updates
Kevin Wu
Eric Wu
Kit Rodolfa
Daniel E. Ho
James Zou
OOD
21
1
0
22 Jun 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with
  Self-supervised Learning
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao
Xinggang Wang
Yuehao Song
Huangxuan Zhao
Jun Ma
Yajie Chen
Wenyu Liu
Bo Wang
ViT
39
5
0
08 May 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
49
1
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
42
2
0
10 Apr 2024
The Impact of Unstated Norms in Bias Analysis of Language Models
The Impact of Unstated Norms in Bias Analysis of Language Models
Farnaz Kohankhaki
D. B. Emerson
David B. Emerson
Laleh Seyyed-Kalantari
Faiza Khan Khattak
60
1
0
04 Apr 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo
Minfei Shi
Muhammad Osama Khan
Muhammad Muneeb Afzal
Hao Huang
...
Luo Song
Ava Kouhana
T. Elze
Yi Fang
Mengyu Wang
VLM
42
31
0
29 Mar 2024
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via
  Controllable Diffusion Model
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model
Anees Ur Rehman Hashmi
Ibrahim Almakky
Mohammad Areeb Qazi
Santosh Sanjeev
Vijay Ram Papineni
Dwarikanath Mahapatra
Mohammad Yaqub
MedIm
38
5
0
14 Mar 2024
Comparison of Machine Learning Classification Algorithms and Application
  to the Framingham Heart Study
Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
Nabil Kahouadji
CML
19
0
0
22 Feb 2024
Demographic Bias of Expert-Level Vision-Language Foundation Models in
  Medical Imaging
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Yuzhe Yang
Yujia Liu
Xin Liu
A. Gulhane
Domenico Mastrodicasa
Wei Wu
Edward J Wang
Dushyant W. Sahani
Shwetak N. Patel
57
8
0
22 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
25
0
0
14 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez
Natalia-Rozalia Avlona
Dovile Juodelyte
Théo Sourget
Caroline Vang-Larsen
Anna Rogers
Hubert Dariusz Zajkac
V. Cheplygina
35
0
0
09 Feb 2024
Medical Image Debiasing by Learning Adaptive Agreement from a Biased
  Council
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
Luyang Luo
Xin Huang
Minghao Wang
Zhuoyue Wan
Hao Chen
32
2
0
22 Jan 2024
The Cadaver in the Machine: The Social Practices of Measurement and
  Validation in Motion Capture Technology
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Emma Harvey
Hauke Sandhaus
Abigail Z. Jacobs
Emanuel Moss
Mona Sloane
24
3
0
19 Jan 2024
On the notion of Hallucinations from the lens of Bias and Validity in
  Synthetic CXR Images
On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images
Gauri Bhardwaj
Yuvaraj Govindarajulu
Sundaraparipurnan Narayanan
Pavan Kulkarni
Manojkumar Somabhai Parmar
MedIm
DiffM
27
0
0
12 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
28
6
0
11 Dec 2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias
  reporting of social and non-social factors
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
C. A. M. Heming
Mohamed Abdalla
Shahram Mohanna
Monish Ahluwalia
Linglin Zhang
...
MinJae Woo
Benjamin A. Fine
J. Gichoya
Leo Anthony Celi
Laleh Seyyed-Kalantari
CML
28
2
0
21 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning
  for limited-data domains
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Yuwen Chen
Helen Zhou
Zachary Chase Lipton
27
1
0
15 Nov 2023
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models
  for Multi-Label Chest X-Ray Classification
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
S. M. N. Ashraf
Md. Adyelullahil Mamun
Hasnat Md. Abdullah
Rabiul Alam
ViT
MedIm
13
7
0
13 Nov 2023
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in
  CXR Embeddings
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
CML
24
0
0
02 Nov 2023
Towards long-tailed, multi-label disease classification from chest
  X-ray: Overview of the CXR-LT challenge
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
G. Holste
Yiliang Zhou
Song Wang
Ajay Jaiswal
Mingquan Lin
...
Zhiyong Lu
Ronald M. Summers
George Shih
Zhangyang Wang
Yifan Peng
31
13
0
24 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair
  Identity Scaling
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
Yan Luo
Muhammad Osama Khan
Yu Tian
Minfei Shi
Zehao Dou
T. Elze
Yi Fang
Mengyu Wang
10
6
0
03 Oct 2023
Learning and DiSentangling Patient Static Information from Time-series
  Electronic HEalth Record (STEER)
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)
Wei-Duen Liao
J. Voldman
OOD
CML
9
0
0
20 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on
  polyp segmentation task
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
49
0
0
13 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Cathrine Damgaard
Trine Eriksen
Dovile Juodelyte
V. Cheplygina
Amelia Jiménez-Sánchez
37
3
0
05 Sep 2023
Unlocking Accuracy and Fairness in Differentially Private Image
  Classification
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Leonard Berrada
Soham De
J. Shen
Jamie Hayes
Robert Stanforth
David Stutz
Pushmeet Kohli
Samuel L. Smith
Borja Balle
27
13
0
21 Aug 2023
How Does Pruning Impact Long-Tailed Multi-Label Medical Image
  Classifiers?
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
G. Holste
Ziyu Jiang
Ajay Jaiswal
Maria Hanna
Shlomo Minkowitz
...
Ying Ding
Ronald M. Summers
George Shih
Yifan Peng
Zhangyang Wang
26
1
0
17 Aug 2023
Virtual imaging trials improved the transparency and reliability of AI
  systems in COVID-19 imaging
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging
F. I. Tushar
Lavsen Dahal
S. Sotoudeh-Paima
E. Abadi
W. Paul Segars
Ehsan Samei
J. Lo
20
1
0
17 Aug 2023
Robustness Stress Testing in Medical Image Classification
Robustness Stress Testing in Medical Image Classification
Mobarakol Islam
Zeju Li
Ben Glocker
OOD
21
6
0
14 Aug 2023
Are Sex-based Physiological Differences the Cause of Gender Bias for
  Chest X-ray Diagnosis?
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?
Nina Weng
Siavash Bigdeli
Eike Petersen
Aasa Feragen
35
9
0
09 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations
Monitoring Algorithmic Fairness under Partial Observations
T. Henzinger
Konstantin Kueffner
Kaushik Mallik
MLAU
25
2
0
01 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
CML
49
9
0
31 Jul 2023
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models
  and Latent Space Geometry Optimization
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
Che Liu
Sibo Cheng
Chong Chen
Mengyun Qiao
Weitong Zhang
Anand Shah
Wenjia Bai
Rossella Arcucci
VLM
30
56
0
17 Jul 2023
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