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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

PloS one, 2017-11, Vol.12 (11), p.e0187336-e0187336

2017

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Ethnic differences in the incidence of pterygium in a multi-ethnic Asian population: the Singapore Epidemiology of Eye Diseases Study

Scientific reports, 2021-01, Vol.11 (1), p.501-501, Article 501

2021

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The incidence and prevalence of pterygium in South Korea: A 10-year population-based Korean cohort study

PloS one, 2017-03, Vol.12 (3), p.e0171954-e0171954

2017

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Deep learning in glaucoma with optical coherence tomography: a review

Eye (London), 2021-01, Vol.35 (1), p.188-201

2021

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Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

Scientific reports, 2020-04, Vol.10 (1), p.6142-6142, Article 6142

2020

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Updates in deep learning research in ophthalmology

Clinical science (1979), 2021-10, Vol.135 (20), p.2357

2021

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Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma

Indian journal of ophthalmology, 2023-08, Vol.71 (8), p.3039-3045

2023

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Adopting machine learning to automatically identify candidate patients for corneal refractive surgery

NPJ digital medicine, 2019-06, Vol.2 (1), p.59-59, Article 59

2019

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Prevalence and risk factors of visual impairment and blindness in Korea: the Fourth Korea National Health and Nutrition Examination Survey in 2008–2010

Acta ophthalmologica (Oxford, England), 2014-06, Vol.92 (4), p.e317-e325

2014

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Six-year incidence of age-related macular degeneration and correlation to OCT-derived drusen volume measurements in a Chinese population

British journal of ophthalmology, 2023-03, Vol.107 (3), p.392

2023

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Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

Current diabetes reports, 2019-09, Vol.19 (9), p.72-12, Article 72

2019

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Design, implementation, and evaluation of a nurse-led intravitreal injection programme for retinal diseases in Singapore

Eye (London), 2020-11, Vol.34 (11), p.2123-2130

2020

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Agreement in Measures of Macular Perfusion between Optical Coherence Tomography Angiography Machines

Scientific reports, 2020-05, Vol.10 (1), p.8345-8345, Article 8345

2020

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Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk

Age and ageing, 2022-04, Vol.51 (4)

2022

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Treatment of upper eyelid retraction related to thyroid-associated ophthalmopathy using subconjunctival triamcinolone injections

Graefe's archive for clinical and experimental ophthalmology, 2013-01, Vol.251 (1), p.261-270

2013

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Correction: Deep learning in glaucoma with optical coherence tomography: a review

Eye (London), 2021-01, Vol.35 (1), p.357-357

2021

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Correction: Design, implementation, and evaluation of a nurse-led intravitreal injection programme for retinal diseases in Singapore

Eye (London), 2020-11, Vol.34 (11), p.2151-2151

2020

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Deep Learning in Medicine. Are We Ready?

Annals of the Academy of Medicine, Singapore, 2019-01, Vol.48 (1), p.1-4

2019

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Incidence and prevalence of uveitis in South Korea: a nationwide cohort study

British journal of ophthalmology, 2018-01, Vol.102 (1), p.79

2018

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Predictive, preventive, and personalized management of retinal fluid via computer-aided detection app for optical coherence tomography scans

The EPMA journal, 2022-12, Vol.13 (4), p.547-560

2022

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Relationship between Coronary Artery Calcification and Central Chorioretinal Thickness in Patients with Subclinical Atherosclerosis

Ophthalmologica (Basel), 2021, Vol.244 (1), p.18-26

2021

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Cataract subtype risk factors identified from the Korea National Health and Nutrition Examination survey 2008-2010

BMC ophthalmology, 2014-01, Vol.14 (1), p.4-4, Article 4

2014

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A nationwide cohort study of cigarette smoking and risk of neovascular age-related macular degeneration in East Asian men

British journal of ophthalmology, 2017-10, Vol.101 (10), p.1367

2017

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Increased incidence of open-angle glaucoma among hypertensive patients: an 11-year nationwide retrospective cohort study

Journal of hypertension, 2017-04, Vol.35 (4), p.729-736

2017

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Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

BMC medicine, 2023-01, Vol.21 (1), p.28-28, Article 28

2023

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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

Ethnic differences in the incidence of pterygium in a multi-ethnic Asian population: the Singapore Epidemiology of Eye Diseases Study

The incidence and prevalence of pterygium in South Korea: A 10-year population-based Korean cohort study

Deep learning in glaucoma with optical coherence tomography: a review

Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

Updates in deep learning research in ophthalmology

Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma

Adopting machine learning to automatically identify candidate patients for corneal refractive surgery

Prevalence and risk factors of visual impairment and blindness in Korea: the Fourth Korea National Health and Nutrition Examination Survey in 2008–2010

Six-year incidence of age-related macular degeneration and correlation to OCT-derived drusen volume measurements in a Chinese population

Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

Design, implementation, and evaluation of a nurse-led intravitreal injection programme for retinal diseases in Singapore

Agreement in Measures of Macular Perfusion between Optical Coherence Tomography Angiography Machines

Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk

Treatment of upper eyelid retraction related to thyroid-associated ophthalmopathy using subconjunctival triamcinolone injections

Correction: Deep learning in glaucoma with optical coherence tomography: a review

Correction: Design, implementation, and evaluation of a nurse-led intravitreal injection programme for retinal diseases in Singapore

Deep Learning in Medicine. Are We Ready?

Incidence and prevalence of uveitis in South Korea: a nationwide cohort study

Predictive, preventive, and personalized management of retinal fluid via computer-aided detection app for optical coherence tomography scans

Relationship between Coronary Artery Calcification and Central Chorioretinal Thickness in Patients with Subclinical Atherosclerosis

Cataract subtype risk factors identified from the Korea National Health and Nutrition Examination survey 2008-2010

A nationwide cohort study of cigarette smoking and risk of neovascular age-related macular degeneration in East Asian men

Increased incidence of open-angle glaucoma among hypertensive patients: an 11-year nationwide retrospective cohort study

Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

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