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RadGraph: Extracting Clinical Entities and Relations from Radiology Reports


Jun 28, 2021
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar


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Structured dataset documentation: a datasheet for CheXpert


May 07, 2021
Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques


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Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation


Apr 01, 2021
Saahil Jain, Akshay Smit, Andrew Y. Ng, Pranav Rajpurkar


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MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning


Mar 26, 2021
Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar


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CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays


Mar 24, 2021
Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar

* Accepted to ACM Conference on Health, Inference, and Learning (ACM-CHIL) Workshop 2021 

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VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels


Mar 15, 2021
Saahil Jain, Akshay Smit, Steven QH Truong, Chanh DT Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar

* Accepted to ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021 

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CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays


Mar 08, 2021
Siyu Shi, Ishaan Malhi, Kevin Tran, Andrew Y. Ng, Pranav Rajpurkar

* Accepted to ACM Conference on Health, Inference, and Learning (ACM-CHIL) Workshop 2021 

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MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation


Feb 21, 2021
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar


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CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings


Feb 21, 2021
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren

* Accepted to ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021. arXiv admin note: substantial text overlap with arXiv:2011.06129 

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CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation


Feb 21, 2021
Soham Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar


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CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation


Jan 18, 2021
Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar


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GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video


Nov 12, 2020
Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys, Eric Yang, Andrew Y. Ng, Pranav Rajpurkar

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays


Nov 12, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew Lungren

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models


Oct 11, 2020
Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng, Pranav Rajpurkar


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DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set


Sep 24, 2020
Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar

* Corrections to folder structure figure 

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CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness


Jul 13, 2020
Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Andrew Y. Ng, Matthew P. Lungren


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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT


Apr 30, 2020
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren


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CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting


Mar 11, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren

* Accepted as workshop paper at ACM Conference on Health, Inference, and Learning (CHIL) 2020 

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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison


Jan 21, 2019
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, Andrew Y. Ng

* Published in AAAI 2019 

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Know What You Don't Know: Unanswerable Questions for SQuAD


Jun 11, 2018
Pranav Rajpurkar, Robin Jia, Percy Liang

* ACL 2018 

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MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs


May 22, 2018
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

* 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) 

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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning


Dec 25, 2017
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng


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