Works by Yoo, Tae Keun
Results: 34
Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging.
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- International Journal of Retina & Vitreous, 2025, v. 11, n. 1, p. 1, doi. 10.1186/s40942-025-00638-9
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- Article
Paired-eye comparison of endothelial cell density and vault height after implantable collamer lens implantation.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-79613-7
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- Article
Comparison of early visual outcomes after SMILE using VISUMAX 800 and VISUMAX 500 for myopia: a retrospective matched case–control study.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-62354-y
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- Article
Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.
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- PLoS ONE, 2020, v. 15, n. 4, p. 1, doi. 10.1371/journal.pone.0231322
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- Article
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study.
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- BMC Medical Informatics & Decision Making, 2013, v. 13, n. 1, p. 1, doi. 10.1186/1472-6947-13-106
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- Article
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study.
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- 2013
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- Publication type:
- journal article
Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains.
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- 2020
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- journal article
Diabetes mellitus is associated with dry eye syndrome: a meta-analysis.
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- International Ophthalmology, 2019, v. 39, n. 11, p. 2611, doi. 10.1007/s10792-019-01110-y
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- Article
Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography.
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- Graefe's Archive of Clinical & Experimental Ophthalmology, 2022, v. 260, n. 11, p. 3701, doi. 10.1007/s00417-022-05738-y
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- Article
CycleGAN-based deep learning technique for artifact reduction in fundus photography.
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- Graefe's Archive of Clinical & Experimental Ophthalmology, 2020, v. 258, n. 8, p. 1631, doi. 10.1007/s00417-020-04709-5
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- Article
Association between cataract and fatty liver diseases from a nationwide cross-sectional study in South Korea.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-023-50582-7
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- Article
Association between metformin use and the risk of developing open-angle glaucoma among patients with diabetes: a retrospective cohort study and meta-analysis.
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- International Ophthalmology, 2024, v. 44, n. 1, p. 1, doi. 10.1007/s10792-024-02945-w
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- Article
Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study.
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- PLoS ONE, 2016, v. 11, n. 2, p. 1, doi. 10.1371/journal.pone.0148724
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- Article
Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects.
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- Environmental Health: A Global Access Science Source, 2012, v. 11, n. 1, p. 69, doi. 10.1186/1476-069X-11-69
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- Article
Comparison of automated corneal endothelial cell analysis in healthy and postoperative eyes with phakic intraocular lens: a cross-sectional study and literature review.
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- BMC Ophthalmology, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12886-024-03590-8
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- Article
Deep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography.
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- Ophthalmology & Therapy, 2024, v. 13, n. 1, p. 305, doi. 10.1007/s40123-023-00842-6
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- Article
Retropupillary Iris Fixation of an Artisan Myopia Lens for Intraocular Lens Dislocation and Aphakia in Eyes with Extremely High Myopia: A Case Series and a Literature Review.
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- Ophthalmology & Therapy, 2022, v. 11, n. 3, p. 1251, doi. 10.1007/s40123-022-00494-y
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- Article
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery.
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- NPJ Digital Medicine, 2019, v. 2, n. 1, p. N.PAG, doi. 10.1038/s41746-019-0135-8
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- Article
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.
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- PLoS ONE, 2017, v. 12, n. 11, p. 1, doi. 10.1371/journal.pone.0187336
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- Article
Age-Related Cataract Is Associated with Elevated Serum Immunoglobulin E Levels in the South Korean Population: A Cross-Sectional Study.
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- PLoS ONE, 2016, v. 11, n. 11, p. 1, doi. 10.1371/journal.pone.0166331
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- Article
Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction.
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- NPJ Digital Medicine, 2025, v. 8, n. 1, p. 1, doi. 10.1038/s41746-025-01487-4
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- Article
Association between Serum Immnunoglobulin E and Pterygium: A Population-Based Study from South Korea.
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- Current Eye Research, 2018, v. 43, n. 9, p. 1090, doi. 10.1080/02713683.2018.1484145
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- Article
Screening for Prediabetes Using Machine Learning Models.
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- Computational & Mathematical Methods in Medicine, 2014, p. 1, doi. 10.1155/2014/618976
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- Article
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.
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- BMC Medical Informatics & Decision Making, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12911-024-02431-4
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- Publication type:
- Article
Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea.
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- Public Health Nutrition, 2014, v. 17, n. 4, p. 833, doi. 10.1017/S1368980013003492
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- Article
Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey.
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- Eye & Vision, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40662-022-00277-3
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- Article
Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning.
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- Yonsei Medical Journal, 2013, v. 54, n. 6, p. 1321, doi. 10.3349/ymj.2013.54.6.1321
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- Article
Development of an implantable collamer lens sizing model: a retrospective study using ANTERION swept-source optical coherence tomography and a literature review.
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- BMC Ophthalmology, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s12886-023-02814-7
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- Article
Development of a novel scoring system for glaucoma risk based on demographic and laboratory factors using ChatGPT-4.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 1, p. 75, doi. 10.1007/s11517-024-03182-0
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- Article
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 2, p. 449, doi. 10.1007/s11517-023-02952-6
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- Article
Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification.
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- Medical & Biological Engineering & Computing, 2021, v. 59, n. 2, p. 401, doi. 10.1007/s11517-021-02321-1
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- Article
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.
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- 2019
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- Publication type:
- journal article
KHCM Fundus photograph-based cataract evaluation network using deep learning.
- Published in:
- Frontiers in Physics, 2024, p. 1, doi. 10.3389/fphy.2023.1235856
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- Article
DeepPDT-Net: predicting the outcome of photodynamic therapy for chronic central serous chorioretinopathy using two-stage multimodal transfer learning.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-22984-6
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- Article