Jin Kuk Kim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Top Venues

Comput. Methods Programs Biomed.

BMC Medical Informatics Decis. Mak.

Medical Biol. Eng. Comput.

npj Digit. Medicine

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, 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, 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, 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)