Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. - Sooah Cho; Su Jeong Song; Joonseok Lee; JiEun Song; Min Soo Kim 001; Minyoung Lee; Joonho Lee (ICAISC (1), 2020)

SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal Diseases. - Joonho Lee; Su Jeong Song (ICMLA, 2021)

Developing a Ophthalmic Chatbot System. - Jung-Hoon Lee; Min-Su Jeong; Jin-Uk Cho; Hyun-Kyu Jeon; Jong-Hyeok Park; Kyoung-Deok Shin; Su Jeong Song; Yun-Gyung Cheong (IMCOM, 2021)

Multi-modal Fundus Image Registration with Deep Feature Matching and Image Scaling. - Ju-Chan Kim; Duc-Tai Le; Su Jeong Song; Chang-Hwan Son; Hyunseung Choo (IMCOM, 2022)

Towards AI based Ophthalmological Screening through Ultra-widefield Fundus Image to Conventional Fundus Image Translation. - Pham Van Nguyen; Duc-Tai Le; Su Jeong Song; Hyunseung Choo (IMCOM, 2022)

Generating future fundus images for early age-related macular degeneration based on generative adversarial networks. - Quang T. M. Pham; Sang-il Ahn; Jitae Shin; Su Jeong Song (Comput. Methods Programs Biomed., 2022)

Retinal Thickness Prediction from Multi-modal Fundus Photography. - Yihua Sun; Dawei Li; Seongho Kim; Ya Xing Wang; Jinyuan Wang; Tien Yin Wong; Hongen Liao; Su Jeong Song (MICCAI (7), 2023)

Semi-Supervised Learning With Fact-Forcing for Medical Image Segmentation. - Phuoc-Nguyen Bui; Duc-Tai Le; Junghyun Bum; Seongho Kim; Su Jeong Song; Hyunseung Choo (IEEE Access, 2023)

FundusGAN: Fundus image synthesis based on semi-supervised learning. - Sang-il Ahn; Su Jeong Song; Jitae Shin (Biomed. Signal Process. Control., 2023)