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
11012016
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
3772017
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
3262015
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
arXiv preprint arXiv:1707.01836, 2017
2632017
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
1912018
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
1182019
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
692018
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
422018
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
392018
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
382019
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
272016
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
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
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
12019
Deep-Learning Artificial Intelligence Model for Automated Detection of Cervical Spine Fracture on Computed Tomography (CT) Imaging
SB Dunsker, M Zhang, L Kim, R Cheong, B Cohen-Wang, K Shpanskaya, ...
JOURNAL OF NEUROSURGERY 131 (1), 2019
2019
AI-Augmented Diagnosis of Brain Aneurysms from CTA: A Retrospective Study
R Jabarkheel, A Park, C Chute, P Rajpurkar, J Lou, K Shpanskaya, L Kim, ...
JOURNAL OF NEUROSURGERY 131 (1), 2019
2019
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
2019
PD60-05 AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES
L Chen*, N Bien, R Fan, R Cheong, P Rajpurkar, A Thong, N Wang, ...
The Journal of Urology 201 (Supplement 4), e1098-e1098, 2019
2019
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