| Introduction to machine learning, neural networks, and deep learning RY Choi, AS Coyner, J Kalpathy-Cramer, MF Chiang, JP Campbell Translational vision science & technology 9 (2), 14-14, 2020 | 617 | 2020 |
| Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks AS Coyner, R Swan, JP Campbell, S Ostmo, JM Brown, ... Ophthalmology Retina, 2019 | 60 | 2019 |
| Long-term characterization of retinal degeneration in Royal College of Surgeons rats using spectral-domain optical coherence tomography RC Ryals, MD Andrews, S Datta, AS Coyner, CM Fischer, Y Wen, ... Investigative ophthalmology & visual science 58 (3), 1378-1386, 2017 | 57 | 2017 |
| Deep learning for the diagnosis of stage in retinopathy of prematurity: accuracy and generalizability across populations and cameras JS Chen, AS Coyner, S Ostmo, K Sonmez, S Bajimaya, E Pradhan, ... Ophthalmology Retina 5 (10), 1027-1035, 2021 | 35 | 2021 |
| Aggressive posterior retinopathy of prematurity: clinical and quantitative imaging features in a large North American cohort KN Bellsmith, J Brown, SJ Kim, IH Goldstein, A Coyner, S Ostmo, K Gupta, ... Ophthalmology 127 (8), 1105-1112, 2020 | 35 | 2020 |
| Deep learning for image quality assessment of fundus images in retinopathy of prematurity AS Coyner, R Swan, JM Brown, J Kalpathy-Cramer, SJ Kim, JP Campbell, ... AMIA Annual Symposium Proceedings 2018, 1224-1232, 2018 | 30 | 2018 |
| Deepfakes in ophthalmology: applications and realism of synthetic retinal images from generative adversarial networks JS Chen, AS Coyner, RVP Chan, ME Hartnett, DM Moshfeghi, LA Owen, ... Ophthalmology Science 1 (4), 100079, 2021 | 29 | 2021 |
| Sarpogrelate, a 5-HT2A receptor antagonist, protects the retina from light-induced retinopathy BE Tullis, RC Ryals, AS Coyner, MJ Gale, N Alex, K Cristy, R Dain, S Wrik, ... Investigative ophthalmology & visual science 56 (8), 4560-4569, 2015 | 25 | 2015 |
| External validation of a retinopathy of prematurity screening model using artificial intelligence in 3 low-and middle-income populations AS Coyner, MA Oh, PK Shah, P Singh, S Ostmo, NG Valikodath, E Cole, ... JAMA ophthalmology 140 (8), 791-798, 2022 | 24 | 2022 |
| Federated learning for multicenter collaboration in ophthalmology: improving classification performance in retinopathy of prematurity C Lu, A Hanif, P Singh, K Chang, AS Coyner, JM Brown, S Ostmo, ... Ophthalmology Retina 6 (8), 657-663, 2022 | 24 | 2022 |
| Single-examination risk prediction of severe retinopathy of prematurity AS Coyner, JS Chen, P Singh, RL Schelonka, BK Jordan, CT McEvoy, ... Pediatrics 148 (6), 2021 | 23 | 2021 |
| Synthetic medical images for robust, privacy-preserving training of artificial intelligence: application to retinopathy of prematurity diagnosis AS Coyner, JS Chen, K Chang, P Singh, S Ostmo, RVP Chan, MF Chiang, ... Ophthalmology Science 2 (2), 100126, 2022 | 21 | 2022 |
| Association of optical coherence tomography–measured fibrovascular ridge thickness and clinical disease stage in retinopathy of prematurity TTP Nguyen, S Ni, S Ostmo, A Rajagopalan, AS Coyner, M Woodward, ... JAMA ophthalmology 140 (11), 1121-1127, 2022 | 15 | 2022 |
| Federated learning for multicenter collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology A Hanif, C Lu, K Chang, P Singh, AS Coyner, JM Brown, S Ostmo, ... Ophthalmology Retina 6 (8), 650-656, 2022 | 15 | 2022 |
| Retinal neuroprotective effects of flibanserin, an FDA-approved dual serotonin receptor agonist-antagonist AS Coyner, RC Ryals, CA Ku, CM Fischer, RC Patel, S Datta, P Yang, ... PloS one 11 (7), e0159776, 2016 | 15 | 2016 |
| Efficacy of smartphone-based telescreening for retinopathy of prematurity with and without artificial intelligence in India BK Young, ED Cole, PK Shah, S Ostmo, P Subramaniam, N Venkatapathy, ... JAMA ophthalmology 141 (6), 582-588, 2023 | 11 | 2023 |
| Association of biomarker-based artificial intelligence with risk of racial bias in retinal images AS Coyner, P Singh, JM Brown, S Ostmo, RVP Chan, MF Chiang, ... JAMA ophthalmology 141 (6), 543-552, 2023 | 10 | 2023 |
| Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence–Based Vascular Severity Score SK Eilts, JM Pfeil, B Poschkamp, TU Krohne, N Eter, T Barth, R Guthoff, ... JAMA Network Open 6 (1), e2251512-e2251512, 2023 | 10 | 2023 |
| Evaluation of an artificial intelligence system for retinopathy of prematurity screening in Nepal and Mongolia E Cole, NG Valikodath, T Al-Khaled, S Bajimaya, KC Sagun, ... Ophthalmology Science 2 (4), 100165, 2022 | 10 | 2022 |
| Epidemiologic evaluation of retinopathy of prematurity severity in a large telemedicine program in India using artificial intelligence MA deCampos-Stairiker, AS Coyner, A Gupta, M Oh, PK Shah, ... Ophthalmology 130 (8), 837-843, 2023 | 7 | 2023 |
J Peter CampbellOregon Health & Science UniversityVerified email at ohsu.edu
