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Fairness is a critical concern in deep learning, especially in healthcare, where these models influence diagnoses and treatment decisions.
Mimic-cxr-jpg, a large publicly available database of labeled chest radiographs
Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng · 1901
Earlier work this paper cites.
Standardization of analysis sets for reporting results from adni mri data
Bradley T Wyman, Danielle J Harvey, Karen Crawford, Matt A Bernstein, Owen Carmichael, Patricia E Cole, Paul K Crane, Charles DeCarli, Nick C Fox, Jeffrey L Gunter, et al · 2013
Earlier work this paper cites.
Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography
Sina Farsiu, Stephanie J Chiu, Rachelle V O’Connell, Francisco A Folgar, Eric Yuan, Joseph A Izatt, Cynthia A Toth, Age-Related Eye Disease Study 2 Ancillary Spectral Domain Optical Coherence Tomography Study Group, et al · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Burden of undetected and untreated glaucoma in the united states
Yahya Shaikh, Fei Yu, and Anne L Coleman · 2014
Earlier work this paper cites.
Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis
Yih-Chung Tham, Xiang Li, Tien Y Wong, Harry A Quigley, Tin Aung, and Ching-Yu Cheng · 2014
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
Earlier work this paper cites.
Prevalence of glaucoma in the united states: the 2005–2008 national health and nutrition examination survey
Priya Gupta, Di Zhao, Eliseo Guallar, Fang Ko, Michael V Boland, and David S Friedman · 2016
Earlier work this paper cites.
Data decisions and theoretical implications when adversarially learning fair representations
Alex Beutel, Jilin Chen, Zhe Zhao, and Ed H Chi · 2017
Earlier work this paper cites.
On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric Xing · 2017
Earlier work this paper cites.
On fairness and calibration
Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Large batch training of convolutional networks
Yang You, Igor Gitman, and Boris Ginsburg · 2017
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Fairness constraints: Mechanisms for fair classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P Gummadi · 2017
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A reductions approach to fair classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, and Hanna Wallach · 2018
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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A dataset of clinically generated visual questions and answers about radiology images
Jason J Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman · 2018
Earlier work this paper cites.
Radiology objects in context (roco): a multimodal image dataset
Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, and Christoph M Friedrich · 2018
Earlier work this paper cites.
A diagnostic report generator from ct volumes on liver tumor with semi-supervised attention mechanism
Jiang Tian, Cong Li, Zhongchao Shi, and Feiyu Xu · 2018
Earlier work this paper cites.
The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018
Earlier work this paper cites.
Mitigating unwanted biases with adversarial learning
Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell · 2018
Earlier work this paper cites.
Peking university international competition on ocular disease intelligent recognition (odir-2019)
2019
Earlier work this paper cites.
Fair regression: Quantitative definitions and reduction-based algorithms
Alekh Agarwal, Miroslav Dudík, and Zhiwei Steven Wu · 2019
Earlier work this paper cites.
Racial categories in machine learning
Sebastian Benthall and Bruce D Haynes · 2019
Earlier work this paper cites.
Age and gender bias in pedestrian detection algorithms
Martim Brandao · 2019
Earlier work this paper cites.
Clinically accurate chest x-ray report generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
Computational optimal transport: With applications to data science
Gabriel Peyré, Marco Cuturi, et al · 2019
Earlier work this paper cites.
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, et al · 2019
Earlier work this paper cites.
Padchest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria De La Iglesia-Vaya · 2020
Cited alongside, same era.
Towards a critical race methodology in algorithmic fairness
Alex Hanna, Emily Denton, Andrew Smart, and Jamila Smith-Loud · 2020
Cited alongside, same era.
Pathological visual question answering
Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie · 2020
Cited alongside, same era.
Learning hierarchical graph for occluded pedestrian detection
Gang Li, Jian Li, Shanshan Zhang, and Jian Yang · 2020
Cited alongside, same era.
Fr-train: A mutual information-based approach to fair and robust training
Yuji Roh, Kangwook Lee, Steven Whang, and Changho Suh · 2020
Cited alongside, same era.
Debiasing deep chest x-ray classifiers using intra-and post-processing methods
Ricards Marcinkevics, Ece Ozkan, and Julia E Vogt · 2022
Later among the works it cites.
Berthop: An effective vision-and-language model for chest x-ray disease diagnosis
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C-C Jay Kuo, Aichi Chien, and Kai-Wei Chang · 2022
Later among the works it cites.
Vision-language transformer for interpretable pathology visual question answering
Usman Naseem, Matloob Khushi, and Jinman Kim · 2022
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Eddie-transformer: Enriched disease embedding transformer for x-ray report generation
Hoang TN Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Lingzi Hong, Jason Truong, and Li Cheng · 2022
Later among the works it cites.
Fair contrastive learning for facial attribute classification
Sungho Park, Jewook Lee, Pilhyeon Lee, Sunhee Hwang, Dohyung Kim, and Hyeran Byun · 2022
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Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, and Shadi Albarqouni · 2020
Cited alongside, same era.
Chexclusion: Fairness gaps in deep chest x-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Irene Y Chen, and Marzyeh Ghassemi · 2020
Cited alongside, same era.
Medicat: A dataset of medical images, captions, and textual references
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, and Hannaneh Hajishirzi · 2020
Cited alongside, same era.
Mitigating bias in face recognition using skewness-aware reinforcement learning
Mei Wang and Weihong Deng · 2020
Cited alongside, same era.
Towards fairness in visual recognition: Effective strategies for bias mitigation
Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, and Olga Russakovsky · 2020
Cited alongside, same era.
Towards accuracy-fairness paradox: Adversarial example-based data augmentation for visual debiasing
Yi Zhang and Jitao Sang · 2020
Cited alongside, same era.
Covid-ct-md, covid-19 computed tomography scan dataset applicable in machine learning and deep learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N Plataniotis, and Arash Mohammadi · 2021
Cited alongside, same era.
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun · 2022
Later among the works it cites.
Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Chris Russell · 2022
Later among the works it cites.
Hurdles to artificial intelligence deployment: Noise in schemas and “gold” labels
Mohamed Abdalla and Benjamin Fine · 2023
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Vision–language model for visual question answering in medical imagery
Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Laila Bashmal, and Mansour Zuair · 2023
Later among the works it cites.
Algorithmic encoding of protected characteristics in chest x-ray disease detection models
Ben Glocker, Charles Jones, Mélanie Bernhardt, and Stefan Winzeck · 2023
Later among the works it cites.
A visual–language foundation model for pathology image analysis using medical twitter
Zhi Huang, Federico Bianchi, Mert Yuksekgonul, Thomas J Montine, and James Zou · 2023
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How fair are medical imaging foundation models?
Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, and Yi Fang · 2023
Later among the works it cites.
Clip-lung: Textual knowledge-guided lung nodule malignancy prediction
Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, and Hongming Shan · 2023
Later among the works it cites.
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Pmc-clip: Contrastive language-image pre-training using biomedical documents
Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
Later among the works it cites.
Clip-driven universal model for organ segmentation and tumor detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Bennett A Landman, Yixuan Yuan, Alan Yuille, Yucheng Tang, and Zongwei Zhou · 2023
Later among the works it cites.
Improving chest x-ray report generation by leveraging text of similar images
Saeed Niksaz and Fahimeh Ghasemian · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Equitable artificial intelligence for glaucoma screening with fair identity normalization
Min Shi, Yan Luo, Yu Tian, Lucy Q Shen, Tobias Elze, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V Boland, David S Friedman, et al · 2023
Later among the works it cites.
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, and Mengyu Wang · 2023
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Medklip: Medical knowledge enhanced language-image pre-training
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, et al · 2023
Later among the works it cites.
Cxr-clip: Toward large scale chest x-ray language-image pre-training
Kihyun You, Jawook Gu, Jiyeon Ham, Beomhee Park, Jiho Kim, Eun K Hong, Woonhyuk Baek, and Byungseok Roh · 2023
Later among the works it cites.
Large-scale domain-specific pretraining for biomedical vision-language processing
Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, et al · 2023
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Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection
Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, and Jiming Chen · 2023
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Harvard glaucoma fairness: A retinal nerve disease dataset for fairness learning and fair identity normalization
Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, and Mengyu Wang · 2024
Closest in time.
Rnflt2vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps
Min Shi, Yu Tian, Yan Luo, Tobias Elze, and Mengyu Wang · 2024
Closest in time.
Worldgpt: A sora-inspired video ai agent as rich world models from text and image inputs
Deshun Yang, Luhui Hu, Yu Tian, Zihao Li, Chris Kelly, Bang Yang, Cindy Yang, and Yuexian Zou · 2024
Closest in time.