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Total : 67

AI Original Paper

Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning

Computers in Biology and Medicine October, 2021
AI Original Paper

Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: retrospective cross-sectional study

Journal of Medical Internet Research August, 2021
AI Original Paper

Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

British Journal of Ophthalmology July, 2021
CVD Original Paper

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

THE LANCET Digital Health May, 2021
Fundus Original Paper

Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers’ and Patients’ Perspectives

Asia-Pacific Journal of Ophthalmology May, 2021
Fundus Original Paper

Computer-aided detection and abnormality score for the outer retinal layer in optical coherence tomography

British Journal of Ophthalmology April, 2021
CVD Original Paper

Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms

THE LANCET Digital Health October, 2020
AI Original Paper

Deep learning for automated sorting of retinal photographs

Ophthalmology Retina August, 2020
AI Conference Abstract

Deep learning system differentiates ethnicities from fundus photographs of a multi-ethnic Asian population

ARVO Annual Meeting Abstract June, 2020
CVD Original Paper

Retinal vascular signs and cerebrovascular diseases

Journal of Neuro-Ophthalmology March, 2020

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