| Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs V Gulshan, L Peng, M Coram, MC Stumpe, D Wu, A Narayanaswamy, ... jama 316 (22), 2402-2410, 2016 | 5997 | 2016 |
| Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy J Krause, V Gulshan, E Rahimy, P Karth, K Widner, GS Corrado, L Peng, ... Ophthalmology 125 (8), 1264-1272, 2018 | 421 | 2018 |
| Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India V Gulshan, RP Rajan, K Widner, D Wu, P Wubbels, T Rhodes, ... JAMA ophthalmology 137 (9), 987-993, 2019 | 187 | 2019 |
| Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program P Ruamviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ... NPJ digital medicine 2 (1), 25, 2019 | 171 | 2019 |
| Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study P Ruamviboonsuk, R Tiwari, R Sayres, V Nganthavee, K Hemarat, ... The Lancet Digital Health 4 (4), e235-e244, 2022 | 58 | 2022 |
| Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program P Raumviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ... arXiv preprint arXiv:1810.08290, 2018 | 14 | 2018 |
| Lessons learned from translating AI from development to deployment in healthcare K Widner, S Virmani, J Krause, J Nayar, R Tiwari, ER Pedersen, D Jeji, ... Nature Medicine, 1-3, 2023 | 6 | 2023 |
| Challenges in evaluating clinical deployments of deep learning assisted diagnostics for diabetic retinopathy screening G Wolff, R Sayres, V Gulshan, K Widner, J Krause, D Jadeja, ... Investigative Ophthalmology & Visual Science 61 (7), 2045-2045, 2020 | 2 | 2020 |
Dale R WebsterResearch Director, GoogleVerified email at google.com
