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)