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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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The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Medical & biological engineering & computing, 2019-03, Vol.57 (3), p.677-687

2019

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Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

Eye and vision (Novato, Calif.), 2022-02, Vol.9 (1), p.6-6, Article 6

2022

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Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study

PloS one, 2016-02, Vol.11 (2), p.e0148724-e0148724

2016

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Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea

Public health nutrition, 2014-04, Vol.17 (4), p.833-843

2014

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Association between cataract and fatty liver diseases from a nationwide cross-sectional study in South Korea

Scientific reports, 2024-01, Vol.14 (1), p.77-77, Article 77

2024

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Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study

PloS one, 2020-04, Vol.15 (4), p.e0231322-e0231322

2020

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Comparison of early visual outcomes after SMILE using VISUMAX 800 and VISUMAX 500 for myopia: a retrospective matched case-control study

Scientific reports, 2024-05, Vol.14 (1), p.11989-11989, Article 11989

2024

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DeepPDT-Net: predicting the outcome of photodynamic therapy for chronic central serous chorioretinopathy using two-stage multimodal transfer learning

Scientific reports, 2022-11, Vol.12 (1), p.18689-18689, Article 18689

2022

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Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography

BMC medical informatics and decision making, 2024-01, Vol.24 (1), p.25-25, Article 25

2024

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Age-Related Cataract Is Associated with Elevated Serum Immunoglobulin E Levels in the South Korean Population: A Cross-Sectional Study

PloS one, 2016-11, Vol.11 (11), p.e0166331-e0166331

2016

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Development of an implantable collamer lens sizing model: a retrospective study using ANTERION swept-source optical coherence tomography and a literature review

BMC ophthalmology, 2023-02, Vol.23 (1), p.59-59, Article 59

2023

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Deep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography

Ophthalmology and therapy, 2024-01, Vol.13 (1), p.305-319

2024

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

The Lancet. Digital health, 2021-05, Vol.3 (5), p.e306-e316

2021

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Protective effects of biodegradable collagen implants on thinned sclera after strabismus surgery: a paired-eye study

Journal of AAPOS, 2017-12, Vol.21 (6), p.467-471.e1

2017

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Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level

Translational vision science & technology, 2020-02, Vol.9 (2), p.8-8

2020

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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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Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning

Yonsei Medical Journal, 2013, 54(6), , pp.1321-1330

2013

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Automated detection of crystalline retinopathy via fundus photography using multistage generative adversarial networks

Biocybernetics and biomedical engineering, 2023-10, Vol.43 (4), p.725-735

2023

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Simple Code Implementation for Deep Learning-Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography

Translational vision science & technology, 2022-02, Vol.11 (2), p.22-22

2022

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Diabetes mellitus is associated with dry eye syndrome: a meta-analysis

International ophthalmology, 2019-11, Vol.39 (11), p.2611-2620

2019

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Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification

Medical & biological engineering & computing, 2021-02, Vol.59 (2), p.401-415

2021

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Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-Sectional Study (KNHANES V)

Pain medicine (Malden, Mass.), 2021-11, Vol.22 (11), p.2525-2532

2021

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Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-[section]al Study

Pain medicine (Malden, Mass.), 2021-11, Vol.22 (11), p.2525

2021

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Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects

Environmental health, 2012-09, Vol.11 (1), p.69-69, Article 69

2012

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

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study

Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea

Association between cataract and fatty liver diseases from a nationwide cross-sectional study in South Korea

Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study

Comparison of early visual outcomes after SMILE using VISUMAX 800 and VISUMAX 500 for myopia: a retrospective matched case-control study

DeepPDT-Net: predicting the outcome of photodynamic therapy for chronic central serous chorioretinopathy using two-stage multimodal transfer learning

Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography

Age-Related Cataract Is Associated with Elevated Serum Immunoglobulin E Levels in the South Korean Population: A Cross-Sectional Study

Development of an implantable collamer lens sizing model: a retrospective study using ANTERION swept-source optical coherence tomography and a literature review

Deep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography

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

Protective effects of biodegradable collagen implants on thinned sclera after strabismus surgery: a paired-eye study

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level

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

Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning

Automated detection of crystalline retinopathy via fundus photography using multistage generative adversarial networks

Simple Code Implementation for Deep Learning-Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography

Diabetes mellitus is associated with dry eye syndrome: a meta-analysis

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification

Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-Sectional Study (KNHANES V)

Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-[section]al Study

Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects

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