| Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database JY Choi, TK Yoo, JG Seo, J Kwak, TT Um, TH Rim PloS one 12 (11), e0187336, 2017 | 294 | 2017 |
| Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey A You, JK Kim, IH Ryu, TK Yoo Eye and Vision 9 (1), 6, 2022 | 174 | 2022 |
| Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs TH Rim, CJ Lee, YC Tham, N Cheung, M Yu, G Lee, Y Kim, DSW Ting, ... The Lancet Digital Health 3 (5), e306-e316, 2021 | 155 | 2021 |
| 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 TK Yoo, JY Choi, JG Seo, B Ramasubramanian, S Selvaperumal, DW Kim Medical & biological engineering & computing 57, 677-687, 2019 | 151 | 2019 |
| Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification TK Yoo, JY Choi, HK Kim Medical & biological engineering & computing 59, 401-415, 2021 | 115 | 2021 |
| Screening for prediabetes using machine learning models SB Choi, WJ Kim, TK Yoo, JS Park, JW Chung, Y Lee, ES Kang, DW Kim Computational and mathematical methods in medicine 2014 (1), 618976, 2014 | 112 | 2014 |
| Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study E Oh, TK Yoo, EC Park BMC medical informatics and decision making 13, 1-14, 2013 | 100 | 2013 |
| Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning TK Yoo, SK Kim, DW Kim, JY Choi, WH Lee, EC Park Yonsei medical journal 54 (6), 1321, 2013 | 92 | 2013 |
| Diabetes mellitus is associated with dry eye syndrome: a meta-analysis TK Yoo, E Oh International ophthalmology 39 (11), 2611-2620, 2019 | 88 | 2019 |
| Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea TK Yoo, S Hong Public health nutrition 17 (4), 833-843, 2014 | 88 | 2014 |
| Simple scoring system and artificial neural network for knee osteoarthritis risk prediction: a cross-sectional study TK Yoo, DW Kim, SB Choi, E Oh, JS Park PloS one 11 (2), e0148724, 2016 | 81 | 2016 |
| Adopting machine learning to automatically identify candidate patients for corneal refractive surgery TK Yoo, IH Ryu, G Lee, Y Kim, JK Kim, IS Lee, JS Kim, TH Rim NPJ digital medicine 2 (1), 59, 2019 | 73 | 2019 |
| Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level TK Yoo, IH Ryu, H Choi, JK Kim, IS Lee, JS Kim, G Lee, TH Rim Translational Vision Science & Technology 9 (2), 2020 | 71 | 2020 |
| A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease TK Yoo, JY Choi, HK Kim Computers in Biology and Medicine 118 (3), 103628, 2020 | 58 | 2020 |
| Artificial neural network approach for differentiating open-angle glaucoma from glaucoma suspect without a visual field test TK Yoo, S Hong Investigative Ophthalmology & Visual Science 56 (6), 3957-3966, 2015 | 57 | 2015 |
| Osteoporosis risk prediction using machine learning and conventional methods SK Kim, TK Yoo, DW Kim 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 54 | 2013 |
| CycleGAN-based deep learning technique for artifact reduction in fundus photography TK Yoo, JY Choi, HK Kim Graefe's Archive for Clinical and Experimental Ophthalmology 258, 1631-1637, 2020 | 53 | 2020 |
| Prediction of phakic intraocular lens vault using machine learning of anterior segment optical coherence tomography metrics K Kamiya, IH Ryu, TK Yoo, JS Kim, IS Lee, JK Kim, W Ando, N Shoji, ... American Journal of Ophthalmology 226, 90-99, 2021 | 52 | 2021 |
| Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects MK Kwon, JY Choi, SK Kim, TK Yoo, DW Kim Environmental Health 11, 1-8, 2012 | 45 | 2012 |
| Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images TK Yoo, JY Choi, HK Kim, IH Ryu, JK Kim Computer Methods and Programs in Biomedicine 205, 106086, 2021 | 44 | 2021 |
