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Ophthalmology. Retina|September 26, 2018
The genetics of retinopathy of prematurity: a model for neovascular retinal diseaseRyan Swan, Sang Jin Kim, J Peter Campbell, et al.
JAMA Ophthalmology|July 4, 2019
A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After TreatmentKishan Gupta, J Peter Campbell, Stanford Taylor, et al.
JAMA Ophthalmology|July 4, 2019
Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep LearningStanford Taylor, James M Brown, Kishan Gupta, et al.
Journal of AAPOS : the Official Publication of the American Association for Pediatric Ophthalmology and Strabismus|April 15, 2020
Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurityMiles F Greenwald, Ian D Danford, Malika Shahrawat, et al.
Ophthalmology|April 8, 2023
Epidemiologic Evaluation of Retinopathy of Prematurity Severity in a Large Telemedicine Program in India Using Artificial IntelligenceMallory A deCampos-Stairiker, Aaron S Coyner, Aditi Gupta, et al.
Ophthalmology Science|March 18, 2026
Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of PrematuritySameera Nayak, Aaron S Coyner, Susan R Ostmo, et al.
Ophthalmology|September 3, 2021
Foundational Considerations for Artificial Intelligence Using Ophthalmic ImagesMichael D Abràmoff, Brad Cunningham, Bakul Patel, et al.
Transactions of the American Ophthalmological Society|October 30, 2013
Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis)Michael F Chiang, Sarah Read-Brown, Daniel C Tu, et al.
Ophthalmology Science|February 2, 2026
Automated Feature Segmentation of Ultra-Widefield OCT ImagesJohn D Jackson, Mani K Woodward, David A Sutter, et al.
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