1. A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs. (June 2022) Authors: Yoo, Tae Keun; Ryu, Ik Hee; Kim, Jin Kuk; Lee, In Sik; Kim, Hong Kyu Journal: Computer methods and programs in biomedicine Issue: Volume 219(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images. (June 2021) Authors: Yoo, Tae Keun; Choi, Joon Yul; Kim, Hong Kyu; Ryu, Ik Hee; Kim, Jin Kuk Journal: Computer methods and programs in biomedicine Issue: Volume 205(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks. (December 2020) Authors: Yoo, Tae Keun; Ryu, Ik Hee; Kim, Jin Kuk; Lee, In Sik; Kim, Jung Sub; Kim, Hong Kyu; Choi, Joon Yul Journal: Computer methods and programs in biomedicine Issue: Volume 197(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗