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Pranav Rajpurkar

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AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

Pranav Rajpurkar, Allison Park, Jeremy Irvin, Chris Chute, Michael Bereket, Domenico Mastrodicasa,Curtis P Langlotz,Matthew P Lungren,Andrew Y Ng,Bhavik N Patel

Scientific reports, no. 1 (2020): 3958

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

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

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

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

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

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

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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Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial

Pranav Rajpurkar, Jingbo Yang, Nathan Dass, Vinjai Vale, Arielle S Keller, Jeremy Irvin, Zachary Taylor,Sanjay Basu,Andrew Ng,Leanne M Williams

JAMA network open, no. 6 (2020)

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Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments

Jeremy A Irvin, Andrew A Kondrich, Michael Ko,Pranav Rajpurkar, Behzad Haghgoo, Bruce E Landon, Robert L Phillips,Stephen Petterson,Andrew Y Ng,Sanjay Basu

BMC Public Health, no. 1 (2020): 1-10

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PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

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

NPJ digital medicine, (2020): 61

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

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

EMNLP 2020, (2020)

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

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

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

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

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Impact of a deep learning assistant on the histopathologic classification of liver cancer

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

NPJ digital medicine, (2020): 23

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Automated abnormality detection in lower extremity radiographs using deep learning

Maya Varma, Mandy Lu, Rachel Gardner,Jared Dunnmon, Nishith Khandwala,Pranav Rajpurkar, Jin Long,Christopher Beaulieu,Katie Shpanskaya,Li Fei-Fei,Matthew P. Lungren,Bhavik N. Patel

Nature Machine Intelligence, no. 12 (2019): 578-583

Cited by1Bibtex

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 L. Ball,Katie Shpanskaya,Jayne Seekins, David A. Mong

AAAI, (2019)

Cited by150EIBibtex

Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy

Tony Duan,Pranav Rajpurkar, Dillon Laird,Andrew Y Ng,Sanjay Basu

Circulation. Cardiovascular quality and outcomes, no. 3 (2019)

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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Y Hannun,Pranav Rajpurkar, Masoumeh Haghpanahi,Geoffrey H Tison, Codie Bourn,Mintu P Turakhia,Andrew Y Ng

Nature medicine, no. 1 (2019): 65-69

Cited by3WOSBibtex

Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Y. Hannun,Pranav Rajpurkar, Masoumeh Haghpanahi,Geoffrey H. Tison, Codie Bourn,Mintu P. Turakhia,Andrew Y. Ng

Nature Medicine, no. 3 (2019): 530-530

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Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant

Uyumazturk Bora, Kiani Amirhossein,Rajpurkar Pranav, Wang Alex,Ball Robyn L., Gao Rebecca, Yu Yifan, Jones Erik,Langlotz Curtis P.,Martin Brock,Berry Gerald J.,Ozawa Michael G.

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PD60-05 AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES

Leo Chen, Nicholas Bien,Richard Fan, Robin Cheong,Pranav Rajpurkar,Alan Thong,Nancy Wang, Sarir Ahmadi,Mirabela Rusu,James Brooks,Andrew Ng,Geoffrey Sonn

The Journal of Urology, (2019)

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Human-machine partnership with artificial intelligence for chest radiograph diagnosis

Bhavik N Patel, Louis Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin,Pranav Rajpurkar,Timothy Amrhein,Rajan Gupta,Safwan Halabi,Curtis Langlotz, Edward Lo

NPJ digital medicine, (2019): 111

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