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Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management


Aug 03, 2021
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar

* Accepted to the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks 

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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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Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond


May 06, 2021
Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, Ram Rajagopal


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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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OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery


Nov 14, 2020
Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng

* Tackling Climate Change with Machine Learning at NeurIPS 2020 (Spotlight talk) 

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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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ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery


Nov 11, 2020
Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng

* Tackling Climate Change with Machine Learning at NeurIPS 2020 

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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models


Oct 14, 2020
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne


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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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Evaluating the Disentanglement of Deep Generative Models through Manifold Topology


Jun 05, 2020
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Stefano Ermon


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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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