Convolutional Neural Networks Accurately Identify Ungradable Images in a Diabetic Retinopathy Telemedicine Screening Program

Assessment of image quality on color fundus retinal images using the automatic retinal image analysis

(2022) Chuying Shi et al.   Scientific Reports

Recently updated global diabetic retinopathy screening guidelines: commonalities, differences, and future possibilities

(2021) Taraprasad Das et al.   EYE

Deep-Learning–Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study

(2021) Vincent Yuen et al.   Translational Vision Science & Technology

Domain-invariant interpretable fundus image quality assessment

(2020) Yaxin Shen et al.   MEDICAL IMAGE ANALYSIS

Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning

(2020) Henry H. Li et al.   Translational Vision Science & Technology

Estimates of the Percentage of US Adults With Diabetes Who Could Be Screened for Diabetic Retinopathy in Primary Care Settings

(2019) Diane M. Gibson   JAMA Ophthalmology

Quality and content analysis of fundus images using deep learning

(2019) Renoh Johnson Chalakkal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Characteristics Associated with Adherence to Annual Dilated Eye Examinations among US Patients with Diagnosed Diabetes

(2019) Sarah E. Eppley et al.   OPHTHALMOLOGY

Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine

(2018) Sajib Kumar Saha et al.   JOURNAL OF DIGITAL IMAGING

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

(2018) Felix Grassmann et al.   OPHTHALMOLOGY

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Guidelines on Diabetic Eye Care

(2018) Tien Y. Wong et al.   OPHTHALMOLOGY

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

(2018) James M. Brown et al.   JAMA Ophthalmology

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Artificial intelligence and deep learning in ophthalmology

(2018) Daniel Shu Wei Ting et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Inadequate screening for retinopathy among recent immigrants with type 2 diabetes despite universal health care: A population-based study

(2017) Julie A. Lovshin et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

Deep-learning based, automated segmentation of macular edema in optical coherence tomography

(2017) Cecilia S. Lee et al.   Biomedical Optics Express

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

(2017) Philippe M. Burlina et al.   JAMA Ophthalmology

Diabetic macular oedema

(2017) Gavin S Tan et al.   Lancet Diabetes & Endocrinology

Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review

(2016) Daniel Shu Wei Ting et al.   CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Identification of Diabetic Retinopathy and Ungradable Image Rate with Ultrawide Field Imaging in a National Teleophthalmology Program

(2016) Paolo S. Silva et al.   OPHTHALMOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Racial Disparity of Eye Examinations Among the U.S. Working-Age Population With Diabetes: 2002–2009

(2014) Qian Shi et al.   DIABETES CARE

Eye Care Availability and Access Among Individuals With Diabetes, Diabetic Retinopathy, or Age-Related Macular Degeneration

(2014) Diane M. Gibson   JAMA Ophthalmology

Potential Efficiency Benefits of Nonmydriatic Ultrawide Field Retinal Imaging in an Ocular Telehealth Diabetic Retinopathy Program

(2013) Paolo S. Silva et al.   DIABETES CARE

Underuse of the Health Care System by Persons With Diabetes Mellitus and Diabetic Macular Edema in the United States

(2013) Neil M. Bressler et al.   JAMA Ophthalmology

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

(2012) J. W. Y. Yau et al.   DIABETES CARE

Diabetic retinopathy

(2010) Ning Cheung et al.   LANCET