Embedded Files
Application of generative adversarial networks (GAN) for ophthalmology image domains: A survey
A You, JK Kim, IH Ryu, TK Yoo, Eye and Vision, 2022, 9 (1), 1-19
A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs
TK Yoo, IH Ryu, JK Kim, IS Lee, HK Kim, Computer Methods and Programs in Biomedicine, 2022, 219, 106735
Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography
J Kim, IH Ryu, JK Kim, IS Lee, HK Kim, E Han, TK Yoo, Graefe's Archive for Clinical and Experimental Ophthalmology, 2022
Simple code implementation for deep learning–based segmentation to evaluate central serous chorioretinopathy in fundus photography.
Tae Keun Yoo, Bo Yi Kim, Hyun Kyo Jeong, Hong Kyu Kim, Donghyun Yang, Ik Hee Ryu, Translational vision science & technology, 2022
Retropupillary Iris Fixation of an Artisan Myopia Lens for Intraocular Lens Dislocation and Aphakia in Eyes with Extremely High Myopia: A Case Series and a Literature Review
TK Yoo, SM Lee, H Lee, EY Choi, M Kim, Ophthalmology and Therapy, 2022.
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, 2021
Association Between Dry Eye Syndrome and Osteoarthritis Severity: A Nationwide Cross-Sectional Study (KNHANES V)
Tae Keun Yoo, Ein Oh, Pain Medicine, 2021.
Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images
Tae Keun Yoo, Joon Yul Choi, Hong Kyu Kim, Ik Hee Ryu, Jin Kuk Kim, Computer Methods and Programs in Biomedicine, 2021
Development of a web-based ensemble machine learning application to select the optimal size of posterior chamber phakic intraocular lens
Eun Min Kang, Ik Hee Ryu, Geunyoung Lee, Jin Kuk Kim, In Sik Lee, Ga Hee Jeon, Hojin Song, Kazutaka Kamiya, Tae Keun Yoo. Translational Vision Science & Technology, 2021
Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.
Tae Keun Yoo, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Eye, 2021
Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm
Tyler Hyungtaek Rim, Aaron Y Lee, Daniel S Ting, Kelvin Teo, Bjorn Kaijun Betzler, Zhen Ling Teo, Tae Keun Yoo, Geunyoung Lee, Youngnam Kim, Andrew C Lin, Seong Eun Kim, Yih Chung Tham, Sung Soo Kim, Ching-Yu Cheng, Tien Yin Wong, Chui Ming Gemmy Cheung, British Journal of Ophthalmology, 2021
Computer-aided detection and abnormality score for the outer retinal layer in optical coherence tomography.
Tyler Hyungtaek Rim, Aaron Yuntai Lee, Daniel S Ting, Kelvin Yi Chong Teo, Hee Seung Yang, KIM Hyeonmin, Geunyoung Lee, Zhen Ling Teo, Alvin Teo Wei Jun, Kengo Takahashi, Tae Keun Yoo, Sung Eun Kim, Yasuo Yanagi, Ching-Yu Cheng, Sung Soo Kim, Tien Yin Wong, Chui Ming Gemmy Cheung . British Journal of Ophthalmology , 2021
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.
Tyler Hyungtaek Rim, Chan Joo Lee, Yih-Chung Tham, Ning Cheung, Marco Yu, Geunyoung Lee, Youngnam Kim, Daniel SW Ting, Crystal Chun Yuen Chong, Yoon Seong Choi, Tae Keun Yoo, Ik Hee Ryu, Su Jung Baik, Young Ah Kim, Sung Kyu Kim, Sang-Hak Lee, Byoung Kwon Lee, Seok-Min Kang, Edmund Yick Mun Wong, Hyeon Chang Kim, Sung Soo Kim, Sungha Park, Ching-Yu Cheng, Tien Yin Wong. The Lancet Digital Health 2021
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, Ni Shoji, T Yamauchi, H Tabuchi. American Journal of Ophthalmology, 2021
Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains.
Yoo TK, Choi JY. JAMA Ophthalmol. 2020 Oct 1. doi: 10.1001/jamaophthalmol.2020.3442.
Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.
Yoo TK, Ryu IH, Kim JK, Lee IS, Kim JS, Kim HK, Choi JY. Comput Methods Programs Biomed. 2020 Sep 16;197:105761.
Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm.
Rim TH, Lee AY, Ting DS, Teo K, Betzler BK, Teo ZL, Yoo TK, Lee G, Kim Y, Lin AC, Kim SE, Tham YC, Kim SS, Cheng CY, Wong TY, Cheung CMG. Br J Ophthalmol. 2020 Sep 9:bjophthalmol-2020-316984.
Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.
Yoo TK, Choi JY, Jang Y, Oh E, Ryu IH. Comput Biol Med. 2020 Aug 20;125:103980.
Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.
Yoo TK, Ryu IH, Choi H, Kim JK, Lee IS, Kim JS, Lee G, Rim TH. Transl Vis Sci Technol. 2020 Feb 12;9(2):8.
CycleGAN-based deep learning technique for artifact reduction in fundus photography.
Yoo TK, Choi JY, Kim HK. Graefes Arch Clin Exp Ophthalmol. 2020 Aug;258(8):1631-1637.
Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.
Yoo TK, Oh E, Kim HK, Ryu IH, Lee IS, Kim JS, Kim JK. PLoS One. 2020 Apr 9;15(4):e0231322.
A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease.
Yoo TK, Choi JY, Kim HK. Comput Biol Med. 2020 Mar;118:103628.
RP2 Rod-Cone Dystrophy Causes Spasmus Nutans-Like Nystagmus.
Yoo TK, Han SH, Han J. J Neuroophthalmol. 2020 Jan 16.
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery.
Yoo TK, Ryu IH, Lee G, Kim Y, Kim JK, Lee IS, Kim JS, Rim TH. NPJ Digit Med. 2019 Jun 20;2:59.
Diabetes mellitus is associated with dry eye syndrome: a meta-analysis.
Yoo TK, Oh E. Int Ophthalmol. 2019 Nov;39(11):2611-2620.
Incidence of exudative age-related macular degeneration and treatment load under the Korean national health insurance system in 2010-2015.
Rim TH, Yoo TK, Kim SH, Kim DW, Kim SS. Br J Ophthalmol. 2019 Oct;103(10):1361-1366.
Association Between Osteoporosis and Age-Related Macular Degeneration: The Korea National Health and Nutrition Examination Survey.
Yoo TK, Kim SH, Kwak J, Kim HK, Rim TH. Invest Ophthalmol Vis Sci. 2018 Mar 20;59(4):AMD132-AMD142.
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.
Yoo TK, Choi JY, Seo JG, Ramasubramanian B, Selvaperumal S, Kim DW. Med Biol Eng Comput. 2019 Mar;57(3):677-687.
Related data: https://data.mendeley.com/datasets/2wxnrd832j
Long-Term Regular Use of Low-Dose Aspirin and Neovascular Age-Related Macular Degeneration: National Sample Cohort 2010-2015.
Rim TH, Yoo TK, Kwak J, Lee JS, Kim SH, Kim DW, Kim SS. Ophthalmology. 2019 Feb;126(2):274-282.
Association between Serum Immnunoglobulin E and Pterygium: A Population-Based Study from South Korea.
Yoo TK, Kim SW, Seo KY. Curr Eye Res. 2018 Sep;43(9):1090-1096.
Protective effects of biodegradable collagen implants on thinned sclera after strabismus surgery: a paired-eye study.
Yoo TK, Han SH, Han J. J AAPOS. 2017 Dec;21(6):467-471.e1. doi: 10.1016/j.jaapos.2017.07.217.
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.
Choi JY, Yoo TK, Seo JG, Kwak J, Um TT, Rim TH. PLoS One. 2017 Nov 2;12(11):e0187336. doi: 10.1371/journal.pone.0187336.
Age-Related Cataract Is Associated with Elevated Serum Immunoglobulin E Levels in the South Korean Population: A Cross-Sectional Study.
Yoo TK, Kim SW, Seo KY. PLoS One. 2016 Nov 18;11(11):e0166331. doi: 10.1371/journal.pone.0166331.
Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study.
Yoo TK, Kim DW, Choi SB, Oh E, Park JS. PLoS One. 2016 Feb 9;11(2):e0148724. doi: 10.1371/journal.pone.0148724.
Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.
Oh E, Yoo TK, Hong S. Invest Ophthalmol Vis Sci. 2015 Jun;56(6):3957-66.
Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine.
Choi SB, Park JS, Chung JW, Yoo TK, Kim DW. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3460-3.
Screening for prediabetes using machine learning models.
Choi SB, Kim WJ, Yoo TK, Park JS, Chung JW, Lee YH, Kang ES, Kim DW. Comput Math Methods Med. 2014;2014:618976.
Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea.
Yoo TK, Oh E, Hong S. Public Health Nutr. 2014 Apr;17(4):833-43.
Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning.
Yoo TK, Kim SK, Kim DW, Choi JY, Lee WH, Oh E, Park EC. Yonsei Med J. 2013 Nov;54(6):1321-30.
Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine.
Yoo TK, Kim SK, Choi SB, Kim DY, Kim DW. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:192-6.
Osteoporosis risk prediction using machine learning and conventional methods.
Kim SK, Yoo TK, Oh E, Kim DW. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:188-91
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study.
Oh E, Yoo TK, Park EC. BMC Med Inform Decis Mak. 2013 Sep 13;13:106.
Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques.
Kim KA, Choi JY, Yoo TK, Kim SK, Chung K, Kim DW. Med & Biol Eng & Comput. 2013 Sep;51(9):1059-67.
A survival prediction model of rats in hemorrhagic shock using the random forest classifier.
Choi JY, Kim SK, Lee WH, Yoo TK, Kim DW. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5570-3
A new severity predicting index for hemorrhagic shock using lactate concentration and peripheral perfusion in a rat model.
Choi JY, Lee WH, Yoo TK, Park I, Kim DW. Shock. 2012 Dec;38(6):635-41
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