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"

37 / 137 papers shown

Title
Explaining medical AI performance disparities across sites with confounder Shapley value analysis Eric Wu K. Wu James Zou 13 7 0 12 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 30 3 0 01 Nov 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning Aakash Kaku Sahana Upadhya N. Razavian SSL 21 29 0 27 Oct 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 36 14 0 27 Oct 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 31 9 0 27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 38 191 0 26 Oct 2021
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 73 45 0 01 Oct 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels Mintong Kang Bowen Li Zengle Zhu Yongyi Lu Elliot K. Fishman Alan Yuille Zongwei Zhou 25 18 0 25 Sep 2021
On the Fairness of Swarm Learning in Skin Lesion Classification Dian Fan Yifan Wu Xiaoxiao Li 43 20 0 24 Sep 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 75 56 0 20 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 20 67 0 09 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 29 22 0 27 Aug 2021
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 6 328 0 21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 41 21 0 20 Jul 2021
Evaluating subgroup disparity using epistemic uncertainty in mammography Charles Lu A. Lemay K. Hoebel Jayashree Kalpathy-Cramer UQCV UD 17 11 0 06 Jul 2021
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports Saahil Jain Ashwin Agrawal A. Saporta Steven QH Truong D. Duong ... Yuhao Zhang M. Lungren A. Ng C. Langlotz Pranav Rajpurkar MedIm 26 200 0 28 Jun 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations Abubakar Abid Mert Yuksekgonul James Zou CML 34 64 0 24 Jun 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays Uday Kamal Mohammad Zunaed N. Nizam Taufiq Hasan 41 27 0 10 Jun 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications Jessica Zosa Forde A. Feder Cooper Kweku Kwegyir-Aggrey Chris De Sa Michael Littman 11 22 0 01 Apr 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 29 59 0 20 Mar 2021
Estimating and Improving Fairness with Adversarial Learning Xiaoxiao Li Ziteng Cui Yifan Wu Li Gu Tatsuya Harada MedIm 30 38 0 07 Mar 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 25 22 0 12 Feb 2021
Explainability Matters: Backdoor Attacks on Medical Imaging Munachiso Nwadike Takumi Miyawaki Esha Sarkar Michail Maniatakos Farah E. Shamout AAML 18 13 0 30 Dec 2020
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 24 13 0 23 Dec 2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 29 5 0 19 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,383 0 14 Dec 2020
(Un)fairness in Post-operative Complication Prediction Models Sandhya Tripathi Bradley A. Fritz M. Abdelhack M. Avidan Yixin Chen C. King 14 4 0 03 Nov 2020
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings Vinith Suriyakumar Nicolas Papernot Anna Goldenberg Marzyeh Ghassemi OOD 36 64 0 13 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs Bradley Max Segal D. Rubin G. Rubin Adam Pantanowitz MedIm 25 36 0 07 Oct 2020
A Computer Vision Approach to Combat Lyme Disease Sina Akbarian Tania Cawston Laurent Moreno Samir B. Patel Vanessa Allen Elham Dolatabadi 11 2 0 24 Sep 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 27 372 0 22 Sep 2020
Evaluating Knowledge Transfer in Neural Network for Medical Images Sina Akbarian Laleh Seyyed-Kalantari Farzad Khalvati Elham Dolatabadi 18 16 0 31 Aug 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 31 31 0 26 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 20 776 0 22 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 10 171 0 11 Mar 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016