Clinically applicable deep learning for diagnosis and referral in retinal disease

Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

(2018) Thomas Schlegl et al.   OPHTHALMOLOGY

Surveillance of sight loss due to delay in ophthalmic treatment or review: frequency, cause and outcome

(2017) B Foot et al.   EYE

How to defuse a demographic time bomb: the way forward?

(2017) J C Buchan et al.   EYE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

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

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

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

(2017) Abhijit Guha Roy et al.   Biomedical Optics Express

Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration

(2017) S. P. K. Karri et al.   Biomedical Optics Express

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

(2017) Leyuan Fang et al.   Biomedical Optics Express

Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis

(2017) Rupert R A Bourne et al.   Lancet Global Health

Human Factor and Usability Testing of a Binocular Optical Coherence Tomography System

(2017) Reena Chopra et al.   Translational Vision Science & Technology

A view of the current and future role of optical coherence tomography in the management of age-related macular degeneration

(2016) U Schmidt-Erfurth et al.   EYE

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

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Anatomic Clinical Trial Endpoints for Nonexudative Age-Related Macular Degeneration

(2016) Karen B. Schaal et al.   OPHTHALMOLOGY

A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration

(2016) Ursula Schmidt-Erfurth et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Incidence of Late-Stage Age-Related Macular Degeneration in American Whites: Systematic Review and Meta-analysis

(2015) Alicja R. Rudnicka et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

Comparison of Optical Coherence Tomography Assessments in the Comparison of Age-Related Macular Degeneration Treatments Trials

(2014) Francisco A. Folgar et al.   OPHTHALMOLOGY

Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images

(2014) Pratul P. Srinivasan et al.   Biomedical Optics Express

Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography

(2013) Sina Farsiu et al.   OPHTHALMOLOGY

The estimated prevalence and incidence of late stage age related macular degeneration in the UK

(2012) Christopher G Owen et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Fiji: an open-source platform for biological-image analysis

(2012) Johannes Schindelin et al.   NATURE METHODS

Evaluation of Age-related Macular Degeneration With Optical Coherence Tomography

(2012) Pearse A. Keane et al.   SURVEY OF OPHTHALMOLOGY

Delay between medical indication to anti-VEGF treatment in age-related macular degeneration can result in a loss of visual acuity

(2010) Philipp Sebastian Muether et al.   GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

Delay in treating age-related macular degeneration in Spain is associated with progressive vision loss

(2008) L Arias et al.   EYE