Last Posted: Sep 22, 2020
- Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
F Li et al, NPJ Digital Medicine, September 22, 2020 - A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.
Thompson Atalie C et al. Translational vision science & technology 2020 Jul 9(2) 42 - Molecular diagnostic challenges for non-retinal developmental eye disorders in the United Kingdom.
Jackson Daniel et al. American journal of medical genetics. Part C, Seminars in medical genetics 2020 Aug - Using clinical decision support systems to bring predictive models to the glaucoma clinic.
Stagg Brian C et al. Ophthalmology. Glaucoma 2020 Aug - Machine Learning Techniques for Ophthalmic Data Processing: A Review.
Sarhan Mhd Hasan et al. IEEE journal of biomedical and health informatics 2020 Jul PP - Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography.
Kim Ko Eun et al. Journal of clinical medicine 2020 Jul 9(7) - Factors associated with participation by African Americans in a study of the genetics of glaucoma.
Parikh Rupin et al. Ethnicity & health 2019 24(6) 694-704 - Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization.
Wu Xiaohang et al. Annals of translational medicine 2020 Jun 8(11) 714 - Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma.
Hashimoto Yohei et al. The British journal of ophthalmology 2020 Jun - Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.
Chang Jooyoung et al. Ophthalmology 2020 Jun
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