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Su Jeong Song
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2020 – today
- 2023
- [j3]Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum, Seongho Kim, Su Jeong Song, Hyunseung Choo:
Semi-Supervised Learning With Fact-Forcing for Medical Image Segmentation. IEEE Access 11: 99413-99425 (2023) - [j2]Sang-il Ahn, Su Jeong Song, Jitae Shin:
FundusGAN: Fundus image synthesis based on semi-supervised learning. Biomed. Signal Process. Control. 86(Part C): 105289 (2023) - [c5]Yihua Sun, Dawei Li, Seongho Kim, Ya Xing Wang, Jinyuan Wang, Tien Yin Wong, Hongen Liao, Su Jeong Song:
Retinal Thickness Prediction from Multi-modal Fundus Photography. MICCAI (7) 2023: 585-595 - 2022
- [j1]Quang T. M. Pham, Sang-il Ahn, Jitae Shin, Su Jeong Song:
Generating future fundus images for early age-related macular degeneration based on generative adversarial networks. Comput. Methods Programs Biomed. 216: 106648 (2022) - [c4]Ju-Chan Kim, Duc-Tai Le, Su Jeong Song, Chang-Hwan Son, Hyunseung Choo:
Multi-modal Fundus Image Registration with Deep Feature Matching and Image Scaling. IMCOM 2022: 1-3 - [c3]Pham Van Nguyen, Duc-Tai Le, Su Jeong Song, Hyunseung Choo:
Towards AI based Ophthalmological Screening through Ultra-widefield Fundus Image to Conventional Fundus Image Translation. IMCOM 2022: 1-3 - 2021
- [c2]Joonho Lee, Su Jeong Song:
SUPRDAD: A Robust Feature Extractor Better Recognizes Low-Prevalent Retinal Diseases. ICMLA 2021: 534-540 - 2020
- [c1]Sooah Cho, Su Jeong Song, Joonseok Lee, JiEun Song, Min Soo Kim, Minyoung Lee, Joonho Lee:
Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks. ICAISC (1) 2020: 599-612
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