| Real-World Performance of a Deep Learning Diabetic Retinopathy Algorithm P Singh, L Yang, J Nayar, Y Matias, G Corrado, D Wesbter, S Virmani, ... Investigative Ophthalmology & Visual Science 65 (7), 2323-2323, 2024 | | 2024 |
| Validating a Deep Learning based Diabetic Retinopathy Model among Patients with Young-onset diabetes A Tan-Torres, P Pradeep, A Brant, L Yang, P Singh, T Ali, I Traynis, ... Investigative Ophthalmology & Visual Science 65 (7), 5657-5657, 2024 | | 2024 |
| Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 22 | 2024 |
| Domain-specific optimization and diverse evaluation of self-supervised models for histopathology J Lai, F Ahmed, S Vijay, T Jaroensri, J Loo, S Vyawahare, S Agarwal, ... arXiv preprint arXiv:2310.13259, 2023 | 7 | 2023 |
| 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 29 (6), 1304-1306, 2023 | 31 | 2023 |
| A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... The Lancet Digital Health 5 (5), e257-e264, 2023 | 13 | 2023 |
| Discovering novel systemic biomarkers in external eye photos B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... | | 2023 |
| Discovering novel systemic biomarkers in photos of the external eye B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... arXiv preprint arXiv:2207.08998, 2022 | | 2022 |
| Performance of a diabetic retinopathy deep learning model for ultra-widefield imaging T Peto, LP Aiello, SR Sadda, D Lewis, AM Cairns, D Keane, S Virmani, ... Investigative Ophthalmology & Visual Science 63 (7), 587–A0152-587–A0152, 2022 | 4 | 2022 |
| Sapphire rapids: The next-generation intel xeon scalable processor N Nassif, AO Munch, CL Molnar, G Pasdast, SV Lyer, Z Yang, O Mendoza, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 44-46, 2022 | 47 | 2022 |
| Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validation J Hsu, S Phene, A Mitani, J Luo, N Hammel, J Krause, R Sayres arXiv preprint arXiv:2009.10858, 2020 | 5 | 2020 |
| Identifying and mitigating low-quality labels for deep learning in glaucoma J Hsu, S Phene, J Luo, A Mitani, N Hammel, J Krause, R Sayres Investigative Ophthalmology & Visual Science 61 (7), 4537-4537, 2020 | | 2020 |
| Performance of Deep Learning Glaucoma Suspect Models Compared to Various Reference Standards L Yang, C Dunn, AE Huang, N Hammel, I Traynis, M Gandhi, J Krause, ... Investigative Ophthalmology & Visual Science 61 (7), 4538-4538, 2020 | | 2020 |
| 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 | 3 | 2020 |
| Research Article Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders J Limwattanayingyong, V Nganthavee, K Seresirikachorn, T Singalavanija, ... | | 2020 |
| Longitudinal screening for diabetic retinopathy in a nationwide screening program: comparing deep learning and human graders J Limwattanayingyong, V Nganthavee, K Seresirikachorn, T Singalavanija, ... Journal of diabetes research 2020 (1), 8839376, 2020 | 11 | 2020 |
| Deep learning and glaucoma specialists: the relative importance of optic disc features to predict glaucoma referral in fundus photographs S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ... Ophthalmology 126 (12), 1627-1639, 2019 | 167 | 2019 |
| How to read articles that use machine learning: users’ guides to the medical literature Y Liu, PHC Chen, J Krause, L Peng Jama 322 (18), 1806-1816, 2019 | 417 | 2019 |
| Remote tool-based adjudication for grading diabetic retinopathy M Schaekermann, N Hammel, M Terry, TK Ali, Y Liu, B Basham, ... Translational Vision Science & Technology 8 (6), 40-40, 2019 | 15 | 2019 |
| Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images A Bora, J Krause, A Misra, C Dunn, A Zaidi, O Kuruvilla, J Carlson, ... Investigative Ophthalmology & Visual Science 60 (9), 1448-1448, 2019 | 1 | 2019 |
