Tae Keun Yoo
Orcid: 0000-0003-0890-8614
According to our database1,
Tae Keun Yoo
authored at least 21 papers
between 2011 and 2025.
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Bibliography
2025
Development of a novel scoring system for glaucoma risk based on demographic and laboratory factors using ChatGPT-4.
Medical Biol. Eng. Comput., January, 2025
2024
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.
BMC Medical Informatics Decis. Mak., December, 2024
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.
Medical Biol. Eng. Comput., February, 2024
Patient-Level Contrastive Learning for Enhanced Biomarker Prediction in Retinal Imaging.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
2022
A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs.
Comput. Methods Programs Biomed., 2022
2021
Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification.
Medical Biol. Eng. Comput., 2021
Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.
Comput. Methods Programs Biomed., 2021
2020
Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.
Comput. Methods Programs Biomed., 2020
A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease.
Comput. Biol. Medicine, 2020
Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.
Comput. Biol. Medicine, 2020
2019
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery.
npj Digit. Medicine, 2019
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 Biol. Eng. Comput., 2019
2014
Comput. Math. Methods Medicine, 2014
Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study.
BMC Medical Informatics Decis. Mak., 2013
Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques.
Medical Biol. Eng. Comput., 2013
Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods.
Proceedings of the Advances in Computational Intelligence, 2013
Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
A survival prediction model of rats in hemorrhagic shock using the random forest classifier.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011