In Sik Lee

According to our database, In Sik Lee authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.

Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo

BMC Medical Informatics Decis. Mak., December, 2024

Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.

Joon Yul Choi, Hyungsu Kim, Jin Kuk Kim, In Sik Lee, Ik Hee Ryu, Jung Soo Kim, Tae Keun Yoo

Medical Biol. Eng. Comput., February, 2024

2022

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

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

2019

Adopting machine learning to automatically identify candidate patients for corneal refractive surgery.

Tae Keun Yoo, Ik Hee Ryu, Geunyoung Lee, Youngnam Kim, Jin Kuk Kim, In Sik Lee, Jung Sub Kim, Tyler Hyungtaek Rim

npj Digit. Medicine, 2019