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Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia



Jon Braatz , Pranav Rajpurkar , Stephanie Zhang , Andrew Y. Ng , Jeanne Shen


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



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



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



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



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



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



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



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



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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