Joon Yul Choi

Publication Activity (10 Years)

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

Top Topics

Diabetic Retinopathy

Optical Coherence Tomography

Top Venues

Medical Biol. Eng. Comput.

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

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, 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)
Woojin Jung, Jaeyeon Yoon, Sooyeon Ji, Joon Yul Choi, Jae Myung Kim, Yoonho Nam, Eung-Yeop Kim, Jongho Lee
. NeuroImage 211 (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)
Hyeong-Geol Shin, Se Hong Oh, Masaki Fukunaga, Yoonho Nam, Doo-Hee Lee, Woojin Jung, Minju Jo, Sooyeon Ji, Joon Yul Choi, Jongho Lee
Advances in gradient echo myelin water imaging at 3T and 7T. NeuroImage 188 (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)
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)
Min Kyung Kwon, Sung Kean Kim, Jeong Mo Koo, Joon Yul Choi, Deok Won Kim
EHS subjects do not perceive RF EMF emitted from smart phones better than non-EHS subjects. EMBC (2012)
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)