Articles with public access mandates - Mong Li LeeLearn more
Not available anywhere: 5
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
Mandates: National Medical Research Council, Singapore, National Research Foundation …
Patch-level regularizer for convolutional neural network
D Xu, ML Lee, W Hsu
2019 IEEE International Conference on Image Processing (ICIP), 3232-3236, 2019
Mandates: National Research Foundation, Singapore
Classification with dynamic data augmentation
D Xu, ML Lee, W Hsu
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
Mandates: National Research Foundation, Singapore
Glycaemic control of Asian patients with type-2 diabetes mellitus on tiered up-titration of metformin monotherapy: A one-year real-world retrospective longitudinal study in …
Q Gao, NC Tan, HSA Fang, ML Lee, W Hsu
Diabetes Research and Clinical Practice 187, 109874, 2022
Mandates: National Research Foundation, Singapore
Recurrent Temporal Point Process Network for First and Repeated Clinical Events
MM Chan, AYR Lam, D Carmody, MEH Ong, Y Zou, W Hsu, ML Lee
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
Mandates: National Research Foundation, Singapore
Available somewhere: 32
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
Mandates: National Medical Research Council, Singapore, Ministry of Health, Singapore
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
Mandates: National Medical Research Council, Singapore, Ministry of Health, Singapore
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
Mandates: National Medical Research Council, Singapore, Ministry of Health, Singapore
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
Mandates: National Medical Research Council, Singapore
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, 1-12, 2019
Mandates: National Medical Research Council, Singapore, Research Grants Council, Hong …
Towards maximizing the representation gap between in-domain & out-of-distribution examples
J Nandy, W Hsu, ML Lee
Advances in neural information processing systems 33, 9239-9250, 2020
Mandates: National Research Foundation, Singapore
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study
DSW Ting, CY Cheung, Q Nguyen, C Sabanayagam, G Lim, ZW Lim, ...
Npj Digital Medicine 2 (1), 24, 2019
Mandates: National Medical Research Council, Singapore, Ministry of Health, Singapore
Multi-task learning for diabetic retinopathy grading and lesion segmentation
A Foo, W Hsu, ML Lee, G Lim, TY Wong
Proceedings of the AAAI conference on artificial intelligence 34 (08), 13267 …, 2020
Mandates: National Research Foundation, Singapore
Comparison of common retinal vessel caliber measurement software and a conversion algorithm
WF Yip, YC Tham, W Hsu, ML Lee, R Klein, B Klein, MK Ikram, TY Wong, ...
Translational vision science & technology 5 (5), 11-11, 2016
Mandates: National Medical Research Council, Singapore
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy
MYT Yip, G Lim, ZW Lim, QD Nguyen, CCY Chong, M Yu, V Bellemo, ...
NPJ digital medicine 3 (1), 40, 2020
Mandates: National Medical Research Council, Singapore, Ministry of Health, Singapore
Personalizing medication recommendation with a graph-based approach
S Bhoi, ML Lee, W Hsu, HSA Fang, NC Tan
ACM Transactions on Information Systems (TOIS) 40 (3), 1-23, 2021
Mandates: National Research Foundation, Singapore
Measurement of macular fractal dimension using a computer-assisted program
GN Thomas, SY Ong, YC Tham, W Hsu, ML Lee, QP Lau, W Tay, ...
Investigative ophthalmology & visual science 55 (4), 2237-2243, 2014
Mandates: A*Star, Singapore
Comprehensible convolutional neural networks via guided concept learning
S Wickramanayake, W Hsu, ML Lee
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Mandates: National Research Foundation, Singapore
Generative data augmentation for diabetic retinopathy classification
G Lim, P Thombre, ML Lee, W Hsu
2020 IEEE 32nd international conference on tools with artificial …, 2020
Mandates: National Research Foundation, Singapore
Explanation-based data augmentation for image classification
S Wickramanayake, W Hsu, ML Lee
Advances in neural information processing systems 34, 20929-20940, 2021
Mandates: National Research Foundation, Singapore
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