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Features
Assistant
AI grounded in research
Search
Full-text citation search
Collections
Organize and monitor papers
All Features →
Integrations
MCP
Connect AI agents to Scite
API
Programmatic data access
Holdings
Full-text via your library
Zotero Plugin
Citation data in Zotero
Browser Extension
Citation badges anywhere
All Integrations →
Data
Rankings
Pricing
Log In
Start Free Trial
Mong Li Lee
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398
Publications
7,296
Citation Statements Received
3,026
Citation Statements Given
How they've been cited
12,825
165
7,106
25
How they cite others
6,851
115
2,905
6
Affiliations
National University of Singapore
,
Institute of Data Science
Publications
Order By: Most citations
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes
Ting
1
,
Cheung
2
,
Lim
3
et al.
2017
JAMA
Abstract
Show
2,523
13
1,633
2
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Cite
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
Bellemo
1
,
Lim
2
,
Lim
3
et al.
2019
The Lancet Digital Health
Abstract
Show
446
4
265
0
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Cite
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
Xie
1
,
Nguyen
2
,
Hamzah
3
et al.
2020
The Lancet Digital Health
301
4
258
0
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Cite
The Retinal Vasculature as a Fractal: Methodology, Reliability, and Relationship to Blood Pressure
Liew
1
,
Wang
2
,
Cheung
3
et al.
2008
Ophthalmology
227
22
227
1
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Cite
Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors
Cheung
1
,
Zheng
2
,
Hsu
3
et al.
2011
Ophthalmology
311
16
216
4
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Cite
A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre
Cheung
1
,
Xu
2
,
Cheng
3
et al.
2020
Nat Biomed Eng
332
5
225
0
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Cite
Quantitative and qualitative retinal microvascular characteristics and blood pressure
Cheung
1
,
Tay
2
,
Mitchell
3
et al.
2011
Abstract
Show
262
7
219
0
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Cite
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
Sabanayagam
1
,
Xu
2
,
Ting
3
et al.
2020
The Lancet Digital Health
Abstract
Show
305
6
211
3
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Cite
1
2
3
4
5
6
7