Pranav Rajpurkar
Pranav Rajpurkar
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
SQuAD: 100,000+ Questions for Machine Comprehension of Text
P Rajpurkar, J Zhang, K Lopyrev, P Liang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
22582016
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
8552017
Know What You Don't Know: Unanswerable Questions for SQuAD
P Rajpurkar, R Jia, P Liang
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2018
6012018
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ...
Nature Medicine 25 (1), 65, 2019
4852019
An Empirical Evaluation of Deep Learning on Highway Driving
B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ...
arXiv preprint arXiv:1504.01716, 2015
4832015
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
arXiv preprint arXiv:1707.01836, 2017
4252017
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2742019
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLOS Medicine 15 (11), e1002686, 2018
2462018
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLOS Medicine 15 (11), e1002699, 2018
1332018
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
1st Conference on Medical Imaging with Deep Learning, 2017
732017
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ...
JAMA Network Open 2 (6), e195600-e195600, 2019
332019
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
E Fast, W McGrath, P Rajpurkar, MS Bernstein
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
312016
Mura dataset: Towards radiologist-level abnormality detection in musculoskeletal radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
302018
Impact of a deep learning assistant on the histopathologic classification of liver cancer
A Kiani, B Uyumazturk, P Rajpurkar, A Wang, R Gao, E Jones, Y Yu, ...
npj Digital Medicine 3 (1), 1-8, 2020
152020
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
npj Digital Medicine 2 (1), 1-10, 2019
142019
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized …
T Duan, P Rajpurkar, D Laird, AY Ng, S Basu
Circulation: Cardiovascular Quality and Outcomes 12 (3), e005010, 2019
62019
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving
P Rajpurkar, T Migimatsu, J Kiske, S Cheng-Yue, Royce, Tandon, T Wang, ...
ICML'15 Workshop on Crowdsourcing, 2015
62015
Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant
B Uyumazturk, A Kiani, P Rajpurkar, A Wang, RL Ball, R Gao, Y Yu, ...
Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract, 2019
52019
Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation
S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins, ...
SiiM Conference on Machine Intelligence in Medical Imaging, 2018
52018
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
npj Digital Medicine 3 (1), 1-9, 2020
42020
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