Aaron S Coyner
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Citado por
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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