Tae Keun Yoo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 10

Top Topics

Support Vector Machine

Age Related Macular Degeneration

Top Venues

Medical Biol. Eng. Comput.

Comput. Methods Programs Biomed.

Comput. Biol. Medicine

BMC Medical Informatics Decis. Mak.

Publications

Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Joon Yul Choi, Hyungsu Kim, Jin Kuk Kim, In Sik Lee, Ik Hee Ryu, Jung Soo Kim, Tae Keun Yoo
Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era. Medical Biol. Eng. Comput. 62 (2) (2024)
Tae Keun Yoo, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Hong Kyu Kim
A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs. Comput. Methods Programs Biomed. 219 (2022)
Tae Keun Yoo, Joon Yul Choi, Hong Kyu Kim
Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification. Medical Biol. Eng. Comput. 59 (2) (2021)
Tae Keun Yoo, Joon Yul Choi, Hong Kyu Kim, Ik Hee Ryu, Jin Kuk Kim
Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images. Comput. Methods Programs Biomed. 205 (2021)
Tae Keun Yoo, Joon Yul Choi, Hong Kyu Kim
A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease. Comput. Biol. Medicine 118 (2020)
Tae Keun Yoo, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Jung Sub Kim, Hong Kyu Kim, Joon Yul Choi
Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks. Comput. Methods Programs Biomed. 197 (2020)
Tae Keun Yoo, Joon Yul Choi, Younil Jang, Ein Oh, Ik Hee Ryu
Toward automated severe pharyngitis detection with smartphone camera using deep learning networks. Comput. Biol. Medicine 125 (2020)
Tae Keun Yoo, Ik Hee Ryu, Geunyoung Lee, Youngnam Kim, Jin Kuk Kim, In Sik Lee, Jung Sub Kim, Tyler Hyungtaek Rim
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery. npj Digit. Medicine 2 (2019)
Tae Keun Yoo, Joon Yul Choi, Jeong Gi Seo, Ramasubramanian Bhoopalan, Selvaperumal Sundaramoorthy, Deok Won Kim
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. 57 (3) (2019)
Soo Beom Choi, Won Jae Kim, Tae Keun Yoo, Jee Soo Park, Jai Won Chung, Yong-Ho Lee, Eun Seok Kang, Deok Won Kim
Screening for Prediabetes Using Machine Learning Models. Comput. Math. Methods Medicine 2014 (2014)
Soo Beom Choi, Jee Soo Park, Jai Won Chung, Tae Keun Yoo, Deok Won Kim
Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine. EMBC (2014)
Sung Kean Kim, Tae Keun Yoo, Ein Oh, Deok Won Kim
Osteoporosis risk prediction using machine learning and conventional methods. EMBC (2013)
Tae Keun Yoo, Sung Kean Kim, Ein Oh, Deok Won Kim
Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods. IWANN (2) (2013)
Ein Oh, Tae Keun Yoo, Eun-Cheol Park
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study. BMC Medical Informatics Decis. Mak. 13 (2013)
Kyung-Ah Kim, Joon Yul Choi, Tae Keun Yoo, Sung Kean Kim, KilSoo Chung, Deok Won Kim
Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. Medical Biol. Eng. Comput. 51 (9) (2013)
Tae Keun Yoo, Sung Kean Kim, Soo Beom Choi, Deog Young Kim, Deok Won Kim
Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine. EMBC (2013)
Joon Yul Choi, Sung Kean Kim, Wan Hyung Lee, Tae Keun Yoo, Deok Won Kim
A survival prediction model of rats in hemorrhagic shock using the random forest classifier. EMBC (2012)
Kyung Hwan Jang, Tae Keun Yoo, Joon Yul Choi, Ki Chang Nam, Jae Lim Choi, Min Kyung Kwon, Deok Won Kim
Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine. EMBC (2011)