| Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis AR Ran, CY Cheung, X Wang, H Chen, L Luo, PP Chan, MOM Wong, ... The Lancet Digital Health 1 (4), e172-e182, 2019 | 113 | 2019 |
| A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study CY Cheung, AR Ran, S Wang, VTT Chan, K Sham, S Hilal, ... The Lancet Digital Health 4 (11), e806-e815, 2022 | 101 | 2022 |
| Deep learning in glaucoma with optical coherence tomography: a review AR Ran, CC Tham, PP Chan, CY Cheng, YC Tham, TH Rim, CY Cheung Eye 35 (1), 188-201, 2021 | 101 | 2021 |
| Transforming retinal photographs to entropy images in deep learning to improve automated detection for diabetic retinopathy GM Lin, MJ Chen, CH Yeh, YY Lin, HY Kuo, MH Lin, MC Chen, SD Lin, ... Journal of ophthalmology 2018 (1), 2159702, 2018 | 85 | 2018 |
| UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification X Wang, F Tang, H Chen, L Luo, Z Tang, AR Ran, CY Cheung, PA Heng IEEE journal of biomedical and health informatics 24 (12), 3431-3442, 2020 | 68 | 2020 |
| Chinese eye exercises and myopia development in school age children: a nested case-control study MT Kang, SM Li, X Peng, L Li, A Ran, B Meng, Y Sun, LR Liu, H Li, ... Scientific reports 6 (1), 28531, 2016 | 66 | 2016 |
| Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning X Wang, H Chen, AR Ran, L Luo, PP Chan, CC Tham, RT Chang, ... Medical Image Analysis 63, 101695, 2020 | 61 | 2020 |
| Peripapillary retinal nerve fibre layer thickness and its association with refractive error in Chinese children: the Anyang Childhood Eye Study MT Kang, SM Li, H Li, L Li, SY Li, BD Zhu, YQ Guo, B Meng, YY Sun, ... Clinical & experimental ophthalmology 44 (8), 701-709, 2016 | 48 | 2016 |
| Detection of diabetic retinopathy from ultra-widefield scanning laser ophthalmoscope images: a multicenter deep learning analysis F Tang, P Luenam, AR Ran, AA Quadeer, R Raman, P Sen, R Khan, ... Ophthalmology Retina 5 (11), 1097-1106, 2021 | 47 | 2021 |
| A 3D deep learning system for detecting referable glaucoma using full OCT macular cube scans DB Russakoff, SS Mannil, JD Oakley, AR Ran, CY Cheung, S Dasari, ... Translational Vision Science & Technology 9 (2), 12-12, 2020 | 42 | 2020 |
| Effect of text messaging parents of school-aged children on outdoor time to control myopia: a randomized clinical trial SM Li, AR Ran, MT Kang, X Yang, MY Ren, SF Wei, JH Gan, L Li, X He, ... JAMA pediatrics 176 (11), 1077-1083, 2022 | 39 | 2022 |
| A multitask deep-learning system to classify diabetic macular edema for different optical coherence tomography devices: a multicenter analysis F Tang, X Wang, A Ran, CKM Chan, M Ho, W Yip, AL Young, J Lok, ... Diabetes Care 44 (9), 2078-2088, 2021 | 38 | 2021 |
| The association of TGFB1 genetic polymorphisms with high myopia: a systematic review and meta-analysis B Meng, LI Shi-Ming, Y Yang, ZR Yang, F Sun, MT Kang, YY Sun, AR Ran, ... International journal of clinical and experimental medicine 8 (11), 20355, 2015 | 27 | 2015 |
| Deep learning-based optical coherence tomography and optical coherence tomography angiography image analysis: an updated summary A Ran, CY Cheung Asia-Pacific Journal of Ophthalmology 10 (3), 253-260, 2021 | 26 | 2021 |
| A deep learning system for predicting time to progression of diabetic retinopathy L Dai, B Sheng, T Chen, Q Wu, R Liu, C Cai, L Wu, D Yang, H Hamzah, ... Nature Medicine 30 (2), 584-594, 2024 | 25 | 2024 |
| Large language models and their impact in ophthalmology BK Betzler, H Chen, CY Cheng, CS Lee, G Ning, SJ Song, AY Lee, ... The Lancet Digital Health 5 (12), e917-e924, 2023 | 20 | 2023 |
| Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions DYL Wong, MC Lam, A Ran, CY Cheung Current Opinion in Ophthalmology 33 (5), 440-446, 2022 | 20 | 2022 |
| Deep learning in optical coherence tomography angiography: Current progress, challenges, and future directions D Yang, AR Ran, TX Nguyen, TPH Lin, H Chen, TYY Lai, CC Tham, ... Diagnostics 13 (2), 326, 2023 | 18 | 2023 |
| What can Gpt-4 do for diagnosing rare eye diseases? A pilot study X Hu, AR Ran, TX Nguyen, S Szeto, JC Yam, CKM Chan, CY Cheung Ophthalmology and Therapy 12 (6), 3395-3402, 2023 | 17 | 2023 |
| Deep learning for glaucoma detection and identification of novel diagnostic areas in diverse real-world datasets E Noury, SS Mannil, RT Chang, AR Ran, CY Cheung, SS Thapa, HL Rao, ... Translational Vision Science & Technology 11 (5), 11-11, 2022 | 17 | 2022 |
