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Archives of Ophthalmology (Chicago, Ill. : 1960)|March 15, 2006
Accuracy and reliability of remote retinopathy of prematurity diagnosisMichael F Chiang, Jeremy D Keenan, Justin Starren, et al.
The British Journal of Ophthalmology|April 15, 2006
Remote image based retinopathy of prematurity diagnosis: a receiver operating characteristic analysis of accuracyM F Chiang, J Starren, Y E Du, et al.
JAMA Ophthalmology|May 26, 2018
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural NetworksJames M Brown, J Peter Campbell, Andrew Beers, et al.
Clinical Ophthalmology (Auckland, N.Z.)|December 24, 2010
Association between assisted reproductive technology and advanced retinopathy of prematurityR V Paul Chan, Yoshihiro Yonekawa, Margaux A Morrison, et al.
Translational Vision Science & Technology|December 9, 2015
Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert DiagnosisEsra Ataer-Cansizoglu, Veronica Bolon-Canedo, J Peter Campbell, et al.
JAMA Ophthalmology|October 20, 2017
Time Requirements for Electronic Health Record Use in an Academic Ophthalmology CenterSarah Read-Brown, Michelle R Hribar, Leah G Reznick, et al.
Journal of Pediatric Ophthalmology and Strabismus|September 24, 2019
Training of Residents and Fellows in Retinopathy of Prematurity Around the World: An International Web-Based SurveyTala Al-Khaled, Mikel Mikhail, Karyn E Jonas, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 1, 2019
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of PrematurityAaron S Coyner, Ryan Swan, James M Brown, et al.
Ophthalmology. Retina|May 3, 2019
Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural NetworksAaron S Coyner, Ryan Swan, J Peter Campbell, et al.
Ophthalmology. Glaucoma|October 3, 2020
Smoking Is Associated with Higher Intraocular Pressure Regardless of Glaucoma: A Retrospective Study of 12.5 Million Patients Using the Intelligent Research in Sight (IRIS®) RegistryCecilia S Lee, Julia P Owen, Ryan T Yanagihara, et al.
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