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Automatic extraction of medical conditions from free-text radiology reports is critical for supervising computer vision models to interpret medical images.
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng. 2019 · 1901
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MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. 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. 2019 · 1901
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Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger Goldman, Christopher Lee-Messer, Matthew Lungren, Daniel Rubin, and Christopher Ré. 2019 · 1903
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Caveats in Generating Medical Imaging Labels from Radiology Reports
Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, and Anthony Upton. 2019 · 1905
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Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 1906
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Exploring large scale public medical image datasets
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Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, and Ha Q. Nguyen. 2020 · 1911
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Index for rating diagnostic tests
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A Coefficient of Agreement for Nominal Scales
Jacob Cohen. 1960 · 1960
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Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
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Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, and Matthew P. Lungren. 2020a · 2002
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Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, and Matthew P. Lungren. 2020 · 2004
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Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling
Wenwu Ye, Jin Yao, Hui Xue, and Yi Li. 2020 · 2005
Cited alongside, same era.
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, and Peter Szolovits. 2020 · 2006
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Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Nguyen Duong Du, Steven QH Truong, Andrew Y. Ng, and Matthew P. Lungren. 2020 · 2007
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Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, and Daniel L. Rubin. 2020a · 2010
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NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald Summers, and Zhiyong Lu. 2017 · 2017
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Bias in radiology: the how and why of misses and misinterpretations
Lindsay P Busby, Jesse L Courtier, and Christine M Glastonbury. 2018 · 2018
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Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia
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Critical finding capture in the impression section of radiology reports. In AMIA Annual Symposium Proceedings , Vol. 2011. American Medical Informatics Association, 465
Esteban F Gershanik, Ronilda Lacson, and Ramin Khorasani. 2011 · 2011
Cited alongside, same era.
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, and Matthew Lungren. 2020b · 2011
Cited alongside, same era.
Discrepancy and error in radiology: concepts, causes and consequences
Adrian Brady, Risteárd Ó Laoide, Peter McCarthy, and Ronan McDermott. 2012 · 2012
Cited alongside, same era.
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
Ha Q. Nguyen, Khanh Lam, Linh T. Le, Hieu H. Pham, Dat Q. Tran, Dung B. Nguyen, Dung D. Le, Chi M. Pham, Hang T. T. Tong, Diep H. Dinh, Cuong D. Do, Luu T. Doan, Cuong N. Nguyen, Binh T. Nguyen, Que V. Nguyen, Au D. Hoang, Hien N. Phan, Anh T. Nguyen, Phuong H. Ho, Dat T. Ngo, Nghia T. Nguyen, Nhan T. Nguyen, Minh Dao, and Van Vu. 2021 · 2012
Cited alongside, same era.
Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning
Michael David Abràmoff, Yiyue Lou, Ali Erginay, Warren Clarida, Ryan Amelon, James C Folk, and Meindert Niemeijer. 2016 · 2016
Cited alongside, same era.
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 · 2016
Cited alongside, same era.
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan, Lily Peng, Marc Coram, Martin C. Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C. Nelson, Jessica L. Mega, and Dale R. Webster. 2016 · 2016
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2017 · 2017
Cited alongside, same era.
George Shih, Carol C. Wu, Safwan S. Halabi, Marc D. Kohli, Luciano M. Prevedello, Tessa S. Cook, Arjun Sharma, Judith K. Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C.B. Godoy, Stephen Hobbs, Jean Jeudy, Archana Laroia, Palmi N. Shah, Dharshan Vummidi, Kavitha Yaddanapudi, and Anouk Stein. 2019 · 2019
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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-Vayá. 2020 · 2020
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CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L Ball, Marc Mendelson, Gary Maartens, Daniël J van Hoving, et al · 2020
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Automated abnormality classification of chest radiographs using deep convolutional neural networks
Yu-Xing Tang, You-Bao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, and Ronald M. Summers. 2020b · 2020
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COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
Linda Wang, Zhong Qiu Lin, and Alexander Wong. 2020 · 2020
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Labelling imaging datasets on the basis of neuroradiology reports: a validation study
David A Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, et al · 2020
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In Proceedings of the IEEE conference on computer vision and pattern recognition . 2097–2106
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M Summers. 2017 · 2097
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