CheXclusion: Fairness gaps in deep chest X-ray classifiers

14 February 2020

Laleh Seyyed-Kalantari

Guanxiong Liu

Matthew B. A. McDermott

Papers citing "CheXclusion: Fairness gaps in deep chest X-ray classifiers"

50 / 137 papers shown

Title
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 35 36 0 27 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunpeng Bai Keliang Xie Anan Liu 23 0 0 02 Jun 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 27 6 0 25 May 2023
Evaluating Model Performance in Medical Datasets Over Time Helen Zhou Yuwen Chen Zachary Chase Lipton OOD 29 4 0 22 May 2023
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit M. Yang Gloria Hyunjung Kwak Tom Pollard Leo Anthony Celi Marzyeh Ghassemi 24 10 0 22 May 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 38 9 0 19 May 2023
Forward-Forward Contrastive Learning Md. Atik Ahamed Jin Chen A. Imran MedIm 38 6 0 04 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 29 4 0 06 Apr 2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 34 1 0 01 Apr 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification Zikang Xu Shang Zhao Quan Quan Qingsong Yao S. Kevin Zhou 41 13 0 15 Mar 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FedML FaML 32 8 0 17 Feb 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations Mingquan Lin Yuyun Xiao Bojian Hou Tingyi Wanyan M. Sharma Zhangyang Wang Fei Wang S. V. Tassel Yifan Peng 28 5 0 26 Jan 2023
Predicting Ejection Fraction from Chest X-rays Using Computer Vision for Diagnosing Heart Failure Walt Williams Rohan Doshi Yanran Li Kexuan Liang 17 0 0 19 Dec 2022
A Fair Loss Function for Network Pruning Robbie Meyer Alexander Wong CVBM 27 3 0 18 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 27 3 0 14 Nov 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies Ryan Wang Li-Ching Chen L. Moukheiber Mira Moukheiber Dana Moukheiber ... Hari M. Trivedi R. Steinberg Po-Chih Kuo J. Gichoya Leo Anthony Celi 11 1 0 13 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 10 14 0 08 Nov 2022
Mitigating Health Disparities in EHR via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 52 8 0 28 Oct 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 37 59 0 23 Oct 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging A. Jaiswal Kumar Ashutosh Justin F. Rousseau Yifan Peng Zhangyang Wang Ying Ding 20 9 0 15 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 31 12 0 13 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 79 59 0 04 Oct 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 49 15 0 27 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 26 35 0 07 Sep 2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions Arezou Pakzad Kumar Abhishek Ghassan Hamarneh 30 17 0 29 Aug 2022
Ex-Ante Assessment of Discrimination in Dataset Jonathan Vasquez Verdugo Xavier Gitiaux Huzefa Rangwala 40 0 0 16 Aug 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 35 11 0 13 Aug 2022
Deep learning for understanding multilabel imbalanced Chest X-ray datasets H. Liz Javier Huertas-Tato Manuel Sánchez-Montanés Javier Del Ser David Camacho SSL 22 25 0 28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
Deep Learning Discovery of Demographic Biomarkers in Echocardiography Grant Duffy S. Clarke M. Christensen B. He N. Yuan Susan Cheng David Ouyang 16 38 0 13 Jul 2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays Yan Han G. Holste Ying Ding Ahmed H. Tewfik Yifan Peng Zhangyang Wang LM&MA ViT 31 15 0 10 Jul 2022
Enhancing Fairness of Visual Attribute Predictors Tobias Hanel Nishant Kumar D. Schlesinger Meng Li Erdem Unal Abouzar Eslami Stefan Gumhold 27 2 0 07 Jul 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Xia Hu FaML 38 0 0 29 Jun 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 39 8 0 23 Jun 2022
Fair Generalized Linear Models with a Convex Penalty Hyungrok Do Preston J. Putzel Axel Martin Padhraic Smyth Judy Zhong FaML 24 14 0 18 Jun 2022
SwinCheX: Multi-label classification on chest X-ray images with transformers Sina Taslimi Soroush Taslimi Nima Fathi Mohammad Salehi M. Rohban ViT MedIm 21 24 0 09 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 16 21 0 06 Jun 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes Ali Sunyaev OOD FedML 26 7 0 01 May 2022
User Trust on an Explainable AI-based Medical Diagnosis Support System Yao Rong N. Castner Efe Bozkir Enkelejda Kasneci 13 8 0 26 Apr 2022
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg 37 14 0 20 Apr 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 27 50 0 18 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology Syed Ashar Javed Dinkar Juyal Zahil Shanis S. Chakraborty Harsha Pokkalla Aaditya (Adi) Prakash LM&MA 25 12 0 11 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 38 179 0 28 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 21 2 0 15 Mar 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 25 29 0 03 Feb 2022
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection M. J. Horry Subrata Chakraborty B. Pradhan M. Paul Jing Zhu H. Loh P. Barua Usha R. Acharya AI4CE 33 7 0 24 Jan 2022
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 32 43 0 23 Nov 2021
Two-step adversarial debiasing with partial learning -- medical image case-studies R. Correa J. Jeong Bhavik Patel Hari M. Trivedi J. Gichoya Imon Banerjee MedIm 12 15 0 16 Nov 2021