Pranav Rajpurkar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 91

Top Topics

Diffusion Model

Image Alignment

Clinical Setting

Top Venues

npj Digit. Medicine

Publications

Oishi Banerjee, Hong-Yu Zhou, Subathra Adithan, Stephen Kwak, Kay Wu, Pranav Rajpurkar
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation. CoRR (2024)
Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J. Topol, Pranav Rajpurkar
A Generalist Learner for Multifaceted Medical Image Interpretation. CoRR (2024)
Alyssa Huang, Oishi Banerjee, Kay Wu, Eduardo Pontes Reis, Pranav Rajpurkar
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores. CoRR (2024)
Sameer Tajdin Khanna, Daniel Michael, Marinka Zitnik, Pranav Rajpurkar
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining. CoRR (2024)
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar
Evaluating progress in automatic chest X-ray radiology report generation. Patterns 4 (9) (2023)
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
Exploring the Boundaries of GPT-4 in Radiology. EMNLP (2023)
Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. CoRR (2023)
Agustina Saenz, Zach Harned, Oishi Banerjee, Michael D. Abràmoff, Pranav Rajpurkar
Autonomous AI systems in the face of liability, regulations and costs. npj Digit. Medicine 6 (2023)
Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Y. Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. CoRR (2023)
Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
Video pretraining advances 3D deep learning on chest CT tasks. MIDL (2023)
Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. EMNLP (Findings) (2023)
Kathryn Wantlin, Chenwei Wu, Shih-Cheng Huang, Oishi Banerjee, Farah Dadabhoy, Veeral Vipin Mehta, Ryan Wonhee Han, Fang Cao, Raja R. Narayan, Errol Colak, Adewole S. Adamson, Laura Heacock, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. CoRR (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR (2023)
Sameer Sundrani, Julie Chen, Boyang Tom Jin, Zahra Shakeri Hossein Abad, Pranav Rajpurkar, David A. Kim
Predicting patient decompensation from continuous physiologic monitoring in the emergency department. npj Digit. Medicine 6 (2023)
Alexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks. CoRR (2023)
Aakash Mishra, Rajat Mittal, Christy Jestin, Kostas Tingos, Pranav Rajpurkar
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models. CoRR (2023)
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
Exploring the Boundaries of GPT-4 in Radiology. CoRR (2023)
Sameer Tajdin Khanna, Adam Dejl, Kibo Yoon, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction. MLHC (2023)
Sameer Tajdin Khanna, Daniel Michael, Marinka Zitnik, Pranav Rajpurkar
Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining. ML4H@NeurIPS (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS (2023)
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Subathra Adithan, Pranav Rajpurkar
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. CoRR (2023)
Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR (2023)
Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Y. Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. ML4H@NeurIPS (2023)
Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A. Kim, Pranav Rajpurkar
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine. NeurIPS (2023)
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. MIDL (2023)
Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A. Kim, Pranav Rajpurkar
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine. CoRR (2023)
Sameer Khanna, Adam Dejl, Kibo Yoon, Quoc Hung Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction. CoRR (2023)
Pratham N. Soni, Siyu Shi, Pranav R. Sriram, Andrew Y. Ng, Pranav Rajpurkar
Contrastive learning of heart and lung sounds for label-efficient diagnosis. Patterns 3 (1) (2022)
Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, Anuj Pareek, Steven Q. H. Truong, Chanh D. T. Nguyen, Van Doan Ngo, Jayne Seekins, Francis G. Blankenberg, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar
Benchmarking saliency methods for chest X-ray interpretation. Nat. Mac. Intell. 4 (10) (2022)
Vignav Ramesh, Nathan Andrew Chi, Pranav Rajpurkar
Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors. CoRR (2022)
Jon Braatz, Pranav Rajpurkar, Stephanie Zhang, Andrew Y. Ng, Jeanne Shen
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia. CoRR (2022)
Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning. MIDL (2022)
Vignav Ramesh, Nathan Andrew Chi, Pranav Rajpurkar
Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors. ML4H@NeurIPS (2022)
Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai
Improving dermatology classifiers across populations using images generated by large diffusion models. CoRR (2022)
Boyang Tom Jin, Raj Palleti, Siyu Shi, Andrew Y. Ng, James V. Quinn, Pranav Rajpurkar, David Kim
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography. J. Am. Medical Informatics Assoc. 29 (11) (2022)
Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar
CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation. CHIL (2021)
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. MLHC (2021)
Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. CoRR (2021)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. CoRR (2021)
Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels. CoRR (2021)
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings. CoRR (2021)
Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. ML4H@NeurIPS (2021)
Soham Uday Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation. MIDL (2021)
Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation. CoRR (2021)
Siyu Shi, Ishaan Malhi, Kevin Tran, Andrew Y. Ng, Pranav Rajpurkar
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays. CoRR (2021)
Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng, Pranav Rajpurkar
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models. MIDL (2021)
Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning. CoRR (2021)
Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model. ML4H@NeurIPS (2021)
Siyu Shi, Ishaan Malhi, Kevin Tran, Andrew Y. Ng, Pranav Rajpurkar
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays. MIDL (2021)
Soham Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation. CoRR (2021)
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. CoRR (2021)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets and Benchmarks (2021)
Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques
Structured dataset documentation: a datasheet for CheXpert. CoRR (2021)
Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah
Improving hospital readmission prediction using individualized utility analysis. J. Biomed. Informatics 119 (2021)
Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays. MLHC (2021)
Viswesh Krishna, Anirudh Joshi, Damir Vrabac, Philip L. Bulterys, Eric Yang, Sebastian Fernandez-Pol, Andrew Y. Ng, Pranav Rajpurkar
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment. MICCAI (8) (2021)
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. NeurIPS Datasets and Benchmarks (2021)
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. CoRR (2021)
David Eng, Chris Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021)
Saahil Jain, Akshay Smit, Andrew Y. Ng, Pranav Rajpurkar
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation. CoRR (2021)
Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays. CoRR (2021)
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings. CHIL (2021)
Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar
VisualCheXbert: addressing the discrepancy between radiology report labels and image labels. CHIL (2021)
Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Andrew Y. Ng, Matthew P. Lungren
CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. CoRR (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng, Pranav Rajpurkar
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models. CoRR (2020)
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. CoRR (2020)
Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys, Eric Yang, Andrew Y. Ng, Pranav Rajpurkar
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video. CoRR (2020)
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. EMNLP (1) (2020)
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. CoRR (2020)
Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren
CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. ML4H@NeurIPS (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. CoRR (2020)
Pranav Rajpurkar, Chloe O'connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom H. Boyles, Matthew P. Lungren
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV. npj Digit. Medicine 3 (2020)
Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen
Impact of a deep learning assistant on the histopathologic classification of liver cancer. npj Digit. Medicine 3 (2020)
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays. CoRR (2020)
Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1 (12) (2019)
Bhavik N. Patel, Louis Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019)
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. 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
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI (2019)
Bhavik N. Patel, Louis Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019)
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. 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
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR (2019)
Pranav Rajpurkar, Robin Jia, Percy Liang
Know What You Don't Know: Unanswerable Questions for SQuAD. CoRR (2018)
Pranav Rajpurkar, Robin Jia, Percy Liang
Know What You Don't Know: Unanswerable Questions for SQuAD. ACL (2) (2018)
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR (2017)
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR (2017)
Pranav Rajpurkar, Vinaya Polamreddi, Anusha Balakrishnan
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning. CoRR (2017)
Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks. CoRR (2017)
Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CoRR (2016)
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. EMNLP (2016)
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. CoRR (2016)
Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CHI (2016)
Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Y. Ng
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving. CoRR (2015)
Brody Huval, Tao Wang, Sameep Tandon, Jeff Kiske, Will Song, Joel Pazhayampallil, Mykhaylo Andriluka, Pranav Rajpurkar, Toki Migimatsu, Royce Cheng-Yue, Fernando A. Mujica, Adam Coates, Andrew Y. Ng
An Empirical Evaluation of Deep Learning on Highway Driving. CoRR (2015)
Ethan Fast, Pranav Rajpurkar, Michael S. Bernstein
Text Mining Emergent Human Behaviors for Interactive Systems. CHI Extended Abstracts (2015)