2022
Reticular Pseudodrusen: The Third Macular Risk Feature for Progression to Late Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report 30
Agrón E, Domalpally A, Cukras C, Clemons T, Chen Q, Lu Z, Chew E, Keenan T, Groups A. Reticular Pseudodrusen: The Third Macular Risk Feature for Progression to Late Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report 30. Ophthalmology 2022, 129: 1107-1119. PMID: 35660417, PMCID: PMC9509418, DOI: 10.1016/j.ophtha.2022.05.021.Peer-Reviewed Original ResearchConceptsLate age-related macular degenerationAge-related macular degenerationAge-related eye disease studyNeovascular age-related macular degenerationColor fundus photographsHazard ratioReticular pseudodrusenGeographic atrophyHigh riskRisk factorsSeverity ScalePresence of RPDProportional hazards regression analysisMacular Degeneration AgeClinical trial cohortIndependent risk factorEye Disease StudyHazards regression analysisImportant risk factorFundus autofluorescence imagesAMD severity scaleTrial cohortRisk calculatorClinical trialsFundus photographs
2019
A multi-task deep learning model for the classification of Age-related Macular Degeneration.
Chen Q, Peng Y, Keenan T, Dharssi S, Agro N E, Wong W, Chew E, Lu Z. A multi-task deep learning model for the classification of Age-related Macular Degeneration. AMIA Joint Summits On Translational Science Proceedings 2019, 2019: 505-514. PMID: 31259005, PMCID: PMC6568069.Peer-Reviewed Original ResearchDeep learning modelsLearning modelMulti-task deep learning modelNovel deep learning modelMulti-task learning techniquesColor fundus imagesImage datasetsLearning techniquesAutomated classificationManual classificationArt modelsManual gradingFundus imagesGrading processClassificationImagesAge-related macular degenerationCurrent stateEye Disease Study GroupAMD severity scaleOverfittingDatasetMacular degenerationModelAccuracy