Tae Keun Yoo

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

Joon Yul Choi, Tae Keun Yoo, Jeong Gi Seo et al. · PLoS ONE · 2017 · 272 citations · Full text

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

Tyler Hyungtaek Rim, Chan Joo Lee, Yih Chung Tham et al. · The Lancet Digital Health · 2021 · 190 citations · Full text

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Tae Keun Yoo, Joon Yul Choi, Jeong Gi Seo et al. · Medical & Biological Engineering & Computing · 2018 · 156 citations · Full text

Theoretical and experimental investigation of a rectenna element for microwave power transmission

James McSpadden, Tae Keun Yoo, Kai Chang · IEEE Transactions on Microwave Theory and Techniques · 1992 · 139 citations

Engineering, Radio Frequency, Microwave Transmission +19

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 & Biological Engineering & Computing · 2021 · 122 citations · Full text

Convolutional Neural Network, Image Classification, Image Analysis +10