Ik Hee Ryu

Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks

Tae Keun Yoo, Joon Yul Choi, Ik Hee Ryu, 2020, Comput. Methods Programs Biomed..

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level

Jung Sub Kim, Tae Keun Yoo, Jin Kuk Kim, 2020, Translational vision science & technology.

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

Jung Sub Kim, Tae Keun Yoo, Jin Kuk Kim, 2019, npj Digital Medicine.

Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study

Tae Keun Yoo, Ik Hee Ryu, Jin Kuk Kim, 2020, PloS one.

Toward automated severe pharyngitis detection with smartphone camera using deep learning networks

Tae Keun Yoo, Joon Yul Choi, Ik Hee Ryu, 2020, Computers in Biology and Medicine.

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images

Tae Keun Yoo, Joon Yul Choi, Ik Hee Ryu, 2021, Comput. Methods Programs Biomed..

Artificial intelligence-based nomogram for small-incision lenticule extraction

Laehyun Kim, Ik Hee Ryu, Youngjun Kim, 2021, Biomedical engineering online.