Sotabase

Career

· Bachelor's Degree in Computer Science, Stanford University2015–2019
· Master's Degree in Computer Science, Stanford University2015–2021
· PhD in Computer Science, Stanford University2015–2021
· Assistant Professor, Harvard University
· Research Assistant, Stanford Machine Learning Group

Publications (196)

SQuAD: 100,000+ Questions for Machine Comprehension of Text
Conference on Empirical Methods in Natural Language Processing · 2016
9,019
cited
Know What You Don’t Know: Unanswerable Questions for SQuAD
Annual Meeting of the Association for Computational Linguistics · 2018
3,153
cited
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI Conference on Artificial Intelligence · 2019
3,121
cited
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
arXiv.org · 2017
3,072
cited
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Nature Medicine · 2019
2,466
cited
AI in health and medicine
Nature Medicine · 2022
1,925
cited
Foundation models for generalist medical artificial intelligence
Nature · 2023
1,440
cited
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
PLoS Medicine · 2018
1,160
cited
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
arXiv.org · 2017
816
cited
Multimodal biomedical AI
Nature Medicine · 2022
816
cited
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
PLoS Medicine · 2018
653
cited
An Empirical Evaluation of Deep Learning on Highway Driving
arXiv.org · 2015
621
cited
Self-supervised learning in medicine and healthcare
Nature Biomedical Engineering · 2022
513
cited
Med-Flamingo: a Multimodal Medical Few-shot Learner
ML4H@NeurIPS · 2023
448
cited
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Conference on Empirical Methods in Natural Language Processing · 2020
438
cited
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
Nature Biomedical Engineering · 2022
407
cited
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs.
2017
372
cited
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
NeurIPS Datasets and Benchmarks · 2021
328
cited
The Current and Future State of AI Interpretation of Medical Images.
New England Journal of Medicine · 2023
266
cited
Impact of a deep learning assistant on the histopathologic classification of liver cancer
npj Digital Medicine · 2020
244
cited
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Pranav Rajpurkar | Researcher Profile | Sotabase | Sotabase