| Comparison of ocular biometric measurements in patients with cataract using three swept-source optical coherence tomography devices R Oh, JY Oh, HJ Choi, MK Kim, CH Yoon BMC ophthalmology 21, 1-7, 2021 | 55 | 2021 |
| Choroidal neovascularization secondary to central serous chorioretinopathy: OCT angiography findings and risk factors JH Yeo, R Oh, YJ Kim, JG Kim, YH Yoon, JY Lee Journal of Ophthalmology 2020 (1), 7217906, 2020 | 26 | 2020 |
| Optical coherence tomography angiographic findings of lamellar macular hole: comparisons between tractional and degenerative subtypes JH Yeo, R Oh, JY Lee, JG Kim, YH Yoon, YJ Kim Scientific Reports 10 (1), 13331, 2020 | 17 | 2020 |
| Deep learning-based prediction of axial length using ultra-widefield fundus photography R Oh, EK Lee, K Bae, UC Park, HG Yu, CK Yoon Korean journal of ophthalmology: KJO 37 (2), 95, 2023 | 9 | 2023 |
| SS-OCT–based ocular biometry in an adult Korean population with cataract S Kim, R Oh, MK Kim, CH Yoon Journal of Cataract & Refractive Surgery 49 (5), 453-459, 2023 | 5 | 2023 |
| Accuracy of the PEARL-DGS Formula for Intraocular Lens Power Calculation in Post–Myopic Laser Refractive Corneal Surgery Eyes R Oh, JY Hyon, HS Jeon American Journal of Ophthalmology 259, 79-87, 2024 | 4 | 2024 |
| Hemisphere opposite to central retinal vascular trunk deviation is earlier affected by glaucomatous damage in primary angle‐closure glaucoma R Oh, KM Lee, M Kim, S Oh, SH Kim Acta Ophthalmologica 101 (2), e252-e260, 2023 | 4 | 2023 |
| Detection and localization of retinal breaks in ultrawidefield fundus photography using a yolo V3 architecture-based deep learning model R Oh, BL Oh, EK Lee, UC Park, HG Yu, CK Yoon Retina 42 (10), 1889-1896, 2022 | 2 | 2022 |
| Detection and Localization of Retinal Breaks in Ultra-Widefield Fundus Photography using a YOLO v3 Architecture-Based Deep Learning Model CK Yoon, R Oh, HG Yu Investigative Ophthalmology & Visual Science 63 (7), 181–F0028-181–F0028, 2022 | 2 | 2022 |
| Quantitative microvascular analysis in different stages of retinitis pigmentosa using optical coherence tomography angiography R Oh, K Bae, CK Yoon, UC Park, KH Park, EK Lee Scientific Reports 14 (1), 4688, 2024 | 1 | 2024 |
| Evaluation of prediction errors in nine intraocular lens calculation formulas using an explainable machine learning model R Oh, JY Oh, HJ Choi, MK Kim, CH Yoon BMC ophthalmology 24 (1), 531, 2024 | | 2024 |
| Deep Learning-based Classification of Eye Laterality in Optical Coherence Tomography Images R Oh, EK Lee, K Bae, UC Park, KH Park, CK Yoon Journal of Retina 9 (2), 177-183, 2024 | | 2024 |
| Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model R Oh, M Kang, J Ahn, EK Lee, K Bae, UC Park, KH Park, CK Yoon Translational Vision Science & Technology 13 (9), 14-14, 2024 | | 2024 |
| A preliminary evaluation of the diagnostic performance of a smartphone-based machine learning-assisted system for evaluation of clinical activity score in digital images of … K Shin, H Choung, MJ Lee, J Kim, GM Lee, S Kim, JH Kim, R Oh, J Park, ... Thyroid, 2024 | | 2024 |
| Longer axial length is associated with better prediction for refractive error after sutureless flanged intrascleral fixation of intraocular lens R Oh, K Bae, CK Yoon, CH Yoon, EK Lee, UC Park Eye 38 (5), 988-993, 2024 | | 2024 |
| Whole genome sequencing for inherited retinal diseases in the Korean National Project of Bio Big Data R Oh, SJ Woo, K Joo Graefe's Archive for Clinical and Experimental Ophthalmology 262 (4), 1351-1359, 2024 | | 2024 |
| Predictive Modeling of Long-Term Glaucoma Progression Based on Systemic Data in the Electronic Medical Record R Oh, H Kim, TW Kim, EJ Lee Investigative Ophthalmology & Visual Science 63 (7), 2051–A0492-2051–A0492, 2022 | | 2022 |
