Resilience to diabetic retinopathy
Open Access
- 11 May 2024
- journal article
- review article
- Published by Elsevier in Progress in Retinal and Eye Research
- Vol. 101, 101271
Abstract
No abstract availableKeywords
This publication has 287 references indexed in Scilit:
- Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic RetinopathyJAMA Network Open, 2021
- Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaJAMA Ophthalmology, 2019
- Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet ModelJAMA Network Open, 2019
- Mitochondrial DNA damage and reactive oxygen species in neurodegenerative diseaseFEBS Letters, 2017
- Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With DiabetesJAMA, 2017
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsJAMA, 2016
- Automated Analysis of Retinal Images for Detection of Referable Diabetic RetinopathyJAMA Ophthalmology, 2013
- Antioxidants and an inhibitor of advanced glycation ameliorate death of retinal microvascular cells in diabetic retinopathyDiabetes/Metabolism Research and Reviews, 2005
- Retinopathy in animal models of diabetesDiabetes/Metabolism Research and Reviews, 1995
- The Wisconsin Epidemiologic Study of Diabetic RetinopathyArchives of Ophthalmology (1950), 1984