| Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes DSW Ting, CYL Cheung, G Lim, GSW Tan, ND Quang, A Gan, H Hamzah, ... Jama 318 (22), 2211-2223, 2017 | 2553 | 2017 |
| Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study V Bellemo, ZW Lim, G Lim, QD Nguyen, Y Xie, MYT Yip, H Hamzah, J Ho, ... The Lancet Digital Health 1 (1), e35-e44, 2019 | 445 | 2019 |
| A prime number labeling scheme for dynamic ordered XML trees X Wu, ML Lee, W Hsu Proceedings. 20th International Conference on Data Engineering, 66-78, 2004 | 359 | 2004 |
| Retinal vascular tortuosity, blood pressure, and cardiovascular risk factors CY Cheung, Y Zheng, W Hsu, ML Lee, QP Lau, P Mitchell, JJ Wang, ... Ophthalmology 118 (5), 812-818, 2011 | 355 | 2011 |
| XClust: clustering XML schemas for effective integration ML Lee, LH Yang, W Hsu, X Yang Proceedings of the eleventh international conference on Information and …, 2002 | 350 | 2002 |
| Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study Y Xie, QD Nguyen, H Hamzah, G Lim, V Bellemo, DV Gunasekeran, ... The Lancet Digital Health 2 (5), e240-e249, 2020 | 308 | 2020 |
| Supporting frequent updates in r-trees: A bottom-up approach ML Lee, W Hsu, CS Jensen, B Cui, KL Teo Proceedings 2003 VLDB Conference, 608-619, 2003 | 302 | 2003 |
| An effective approach to detect lesions in color retinal images H Wang, W Hsu, KG Goh, ML Lee Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000 | 299 | 2000 |
| Quantitative and qualitative retinal microvascular characteristics and blood pressure CY Cheung, WT Tay, P Mitchell, JJ Wang, W Hsu, ML Lee, QP Lau, ... Journal of hypertension 29 (7), 1380-1391, 2011 | 298 | 2011 |
| A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre CY Cheung, D Xu, CY Cheng, C Sabanayagam, YC Tham, M Yu, TH Rim, ... Nature biomedical engineering 5 (6), 498-508, 2021 | 282 | 2021 |
| A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations C Sabanayagam, D Xu, DSW Ting, S Nusinovici, R Banu, H Hamzah, ... The Lancet Digital Health 2 (6), e295-e302, 2020 | 279 | 2020 |
| Cleansing data for mining and warehousing ML Lee, H Lu, TW Ling, YT Ko International Conference on Database and Expert Systems Applications, 751-760, 1999 | 268 | 1999 |
| Intelliclean: a knowledge-based intelligent data cleaner ML Lee, TW Ling, WL Low Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 256 | 2000 |
| Image mining: Trends and developments W Hsu, ML Lee, J Zhang Journal of intelligent information systems 19 (1), 7-23, 2002 | 254 | 2002 |
| The retinal vasculature as a fractal: methodology, reliability, and relationship to blood pressure G Liew, JJ Wang, N Cheung, YP Zhang, W Hsu, ML Lee, P Mitchell, ... Ophthalmology 115 (11), 1951-1956. e1, 2008 | 250 | 2008 |
| Quantitative assessment of early diabetic retinopathy using fractal analysis N Cheung, KC Donaghue, G Liew, SL Rogers, JJ Wang, SW Lim, ... Diabetes care 32 (1), 106-110, 2009 | 236 | 2009 |
| Mining relationships among interval-based events for classification D Patel, W Hsu, ML Lee Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 229 | 2008 |
| Video-of-thought: Step-by-step video reasoning from perception to cognition H Fei, S Wu, W Ji, H Zhang, M Zhang, ML Lee, W Hsu arXiv preprint arXiv:2501.03230, 2024 | 215 | 2024 |
| Artificial intelligence screening for diabetic retinopathy: the real-world emerging application V Bellemo, G Lim, TH Rim, GSW Tan, CY Cheung, SV Sadda, M He, ... Current diabetes reports 19 (9), 72, 2019 | 212 | 2019 |
| Faithful logical reasoning via symbolic chain-of-thought J Xu, H Fei, L Pan, Q Liu, ML Lee, W Hsu arXiv preprint arXiv:2405.18357, 2024 | 203 | 2024 |
