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Predicting Risk of Developing Diabetic Retinopathy using Deep Learning., , , , , , , , , and 6 other author(s). CoRR, (2020)Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine., , , , and . J. Digit. Imaging, 31 (6): 869-878 (2018)Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening., , , , and . CoRR, (2017)Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning., , , , , , , , , and 8 other author(s). CoRR, (2018)Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs, , , , , , , , , and 5 other author(s). JAMA, 316 (22): 2402-2410 (December 2016)EyePACS: An Open Source Clinical Communication System For Eye Care., and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 207-211. IOS Press, (2004)Discovering novel systemic biomarkers in photos of the external eye., , , , , , , , , and 9 other author(s). CoRR, (2022)Detecting hidden signs of diabetes in external eye photographs., , , , , , , , , and 3 other author(s). CoRR, (2020)