Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine. - Kyung Hwan Jang; Tae Keun Yoo; Joon Yul Choi; Ki Chang Nam; Jae Lim Choi; Min Kyung Kwon; Deok Won Kim (EMBC, 2011)

A survival prediction model of rats in hemorrhagic shock using the random forest classifier. - Joon Yul Choi; Sung Kean Kim; Wan Hyung Lee; Tae Keun Yoo; Deok Won Kim (EMBC, 2012)

Osteoporosis risk prediction using machine learning and conventional methods. - Sung Kean Kim; Tae Keun Yoo; Ein Oh; Deok Won Kim (EMBC, 2013)

Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine. - Tae Keun Yoo; Sung Kean Kim; Soo Beom Choi; Deog Young Kim; Deok Won Kim (EMBC, 2013)

Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods. - Tae Keun Yoo; Sung Kean Kim; Ein Oh; Deok Won Kim (IWANN (2), 2013)

Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. - Kyung-Ah Kim; Joon Yul Choi; Tae Keun Yoo; Sung Kean Kim; KilSoo Chung; Deok Won Kim (Medical Biol. Eng. Comput., 2013)

Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. - Ein Oh; Tae Keun Yoo; Eun-Cheol Park (BMC Medical Informatics Decis. Mak., 2013)

Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine. - Soo Beom Choi; Jee Soo Park; Jai Won Chung; Tae Keun Yoo; Deok Won Kim (EMBC, 2014)

Screening for Prediabetes Using Machine Learning Models. - Soo Beom Choi; Won Jae Kim; Tae Keun Yoo; Jee Soo Park; Jai Won Chung; Yong-Ho Lee; Eun Seok Kang; Deok Won Kim (Comput. Math. Methods Medicine, 2014)

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. - Tae Keun Yoo; Joon Yul Choi; Jeong Gi Seo; Ramasubramanian Bhoopalan; Selvaperumal Sundaramoorthy; Deok Won Kim (Medical Biol. Eng. Comput., 2019)

Adopting machine learning to automatically identify candidate patients for corneal refractive surgery. - Tae Keun Yoo; Ik Hee Ryu; Geunyoung Lee; Youngnam Kim; Jin Kuk Kim; In Sik Lee; Jung Sub Kim; Tyler Hyungtaek Rim (npj Digit. Medicine, 2019)

Toward automated severe pharyngitis detection with smartphone camera using deep learning networks. - Tae Keun Yoo; Joon Yul Choi; Younil Jang; Ein Oh; Ik Hee Ryu (Comput. Biol. Medicine, 2020)

A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease. - Tae Keun Yoo; Joon Yul Choi; Hong Kyu Kim (Comput. Biol. Medicine, 2020)

Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks. - Tae Keun Yoo; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee; Jung Sub Kim; Hong Kyu Kim; Joon Yul Choi (Comput. Methods Programs Biomed., 2020)

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images. - Tae Keun Yoo; Joon Yul Choi; Hong Kyu Kim; Ik Hee Ryu; Jin Kuk Kim (Comput. Methods Programs Biomed., 2021)

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification. - Tae Keun Yoo; Joon Yul Choi; Hong Kyu Kim (Medical Biol. Eng. Comput., 2021)

A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs. - Tae Keun Yoo; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee; Hong Kyu Kim (Comput. Methods Programs Biomed., 2022)

Patient-Level Contrastive Learning for Enhanced Biomarker Prediction in Retinal Imaging. - Hyeonmin Kim; Chanyang Seo; Yunnie Cho; Tae Keun Yoo (DEMI@MICCAI, 2024)

Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era. - Joon Yul Choi; Hyungsu Kim; Jin Kuk Kim; In Sik Lee; Ik Hee Ryu; Jung Soo Kim; Tae Keun Yoo (Medical Biol. Eng. Comput., 2024)

Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography. - Joon Yul Choi; Ik Hee Ryu; Jin Kuk Kim; In Sik Lee; Tae Keun Yoo (BMC Medical Informatics Decis. Mak., 2024)

Multimodal large language models as assistance for evaluation of thyroid-associated ophthalmopathy. - Bo Ram Kim; Joon Yul Choi; Tae Keun Yoo (Comput. Biol. Medicine, 2025)

Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction. - Joon Yul Choi; Doo Eun Kim; Sung Jin Kim; Hannuy Choi; Tae Keun Yoo (npj Digit. Medicine, 2025)

Development of a novel scoring system for glaucoma risk based on demographic and laboratory factors using ChatGPT-4. - Joon Yul Choi; Tae Keun Yoo (Medical Biol. Eng. Comput., 2025)

Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea. - Na Hyeon Yu; Daeun Shin; Ik Hee Ryu; Tae Keun Yoo; Kyungmin Koh (BMC Medical Informatics Decis. Mak., 2025)