Pranav Rajpurkar
Pranav Rajpurkar
PhD Candidate, Stanford University
Verified email at cs.stanford.edu - Homepage
TitleCited byYear
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
13392016
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
4632017
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
3602015
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
arXiv preprint arXiv:1707.01836, 2017
2922017
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
2782018
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
1802019
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
1122018
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
752019
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
632018
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, 2018
562018
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
262016
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
52019
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
52015
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
22019
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
P Rajpurkar, V Polamreddi, A Balakrishnan
NIPS'15 Workshop on Machine Learning For Health, 2017
22017
Text Mining Emergent Human Behaviors for Interactive Systems
E Fast, P Rajpurkar, MS Bernstein
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015
22015
A Supervised Approach To Musical Chord Recognition
P Rajpurkar, B Girardeau, T Migimatsu
Stanford Undergraduate Research Journal '14, 2014
22014
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
12019
Automated abnormality detection in lower extremity radiographs using deep learning
M Varma, M Lu, R Gardner, J Dunnmon, N Khandwala, P Rajpurkar, ...
Nature Machine Intelligence, 1-6, 2019
2019
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, ...
arXiv preprint arXiv:1911.07372, 2019
2019
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