| 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 | 1925 | 2017 |
| 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 | 352 | 2004 |
| 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 | 345 | 2002 |
| 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 | 311 | 2011 |
| 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 | 300 | 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 | 290 | 2000 |
| 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 | 280 | 2019 |
| Cleansing data for mining and warehousing ML Lee, H Lu, TW Ling, YT Ko Database and Expert Systems Applications: 10th International Conference …, 1999 | 270 | 1999 |
| 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 | 259 | 2011 |
| Intelliclean: a knowledge-based intelligent data cleaner ML Lee, TW Ling, WL Low Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 254 | 2000 |
| Image mining: Trends and developments W Hsu, ML Lee, J Zhang Journal of intelligent information systems 19, 7-23, 2002 | 252 | 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 | 234 | 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 | 226 | 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 | 215 | 2008 |
| 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 | 200 | 2020 |
| Designing functional dependencies for XML ML Lee, TW Ling, WL Low Advances in Database Technology—EDBT 2002: 8th International Conference on …, 2002 | 199 | 2002 |
| Alterations in retinal microvascular geometry in young type 1 diabetes MB Sasongko, JJ Wang, KC Donaghue, N Cheung, P Benitez-Aguirre, ... Diabetes care 33 (6), 1331-1336, 2010 | 175 | 2010 |
| Icicles: Self-tuning samples for approximate query answering V Ganti, ML Lee, R Ramakrishnan VLDB 176 (187), 2000 | 174 | 2000 |
| 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 | 172 | 2020 |
| Fractal analysis of retinal microvasculature and coronary heart disease mortality G Liew, P Mitchell, E Rochtchina, TY Wong, W Hsu, ML Lee, A Wainwright, ... European heart journal 32 (4), 422-429, 2011 | 172 | 2011 |
