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Computer Science

D-Index
61
Citations
19656
World Ranking
3017
National Ranking
52

Overview

Wynne Hsu is affiliated with the National University of Singapore in Singapore. Their research spans across the fields of Computer Science and Medicine, with a significant focus on Artificial Intelligence and its applications in healthcare.

Hsu has made contributions in several subfields, including:

  • Artificial Intelligence
  • Ophthalmology
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Endocrinology, Diabetes and Metabolism

Their main topics of research work cover a range of healthcare and biomedical informatics issues, specifically:

  • Machine Learning in Healthcare
  • Retinal Imaging and Analysis
  • Artificial Intelligence in Healthcare
  • Retinal Diseases and Treatments
  • Retinal and Optic Conditions
  • Biomedical Text Mining and Ontologies
  • Misinformation and Its Impacts

Hsu's frequent publication venues include:

  • arXiv (Cornell University)
  • The Lancet Digital Health
  • Scientific Reports
  • PLoS ONE
  • Journal of the American Medical Informatics Association

Their recent notable papers include:

  • A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre (2020), Nature Biomedical Engineering
  • Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study (2020), The Lancet Digital Health
  • A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations (2020), The Lancet Digital Health
  • Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies (2021), Journal of Biomedical Informatics
  • Personalizing Medication Recommendation with a Graph-Based Approach (2021), ACM Transactions on Information Systems

Wynne Hsu has frequently collaborated with other researchers, including:

  • Mong Li Lee
  • Ngiap Chuan Tan
  • Tien Yin Wong
  • Hao Sen Andrew Fang
  • Dejiang Xu

Best Publications

  • Integrating classification and association rule mining

    Bing Liu;Wynne Hsu;Yiming Ma

  • Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

    Daniel Shu Wei Ting;Daniel Shu Wei Ting;Carol Yim Lui Cheung;Carol Yim Lui Cheung;Gilbert Lim;Gavin Siew Wei Tan;Gavin Siew Wei Tan

  • Mining association rules with multiple minimum supports

    Bing Liu;Wynne Hsu;Yiming Ma

  • Pruning and summarizing the discovered associations

    Bing Liu;Wynne Hsu;Yiming Ma

  • Analyzing the subjective interestingness of association rules

    Bing Liu;Wynne Hsu;Wynne Hsu;Shu Chen;Yiming Ma

  • Current research in the conceptual design of mechanical products

    Wynne Hsu;Irene M.Y. Woon

  • Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.

    Valentina Bellemo;Zhan W Lim;Gilbert Lim;Quang D Nguyen

  • A prime number labeling scheme for dynamic ordered XML trees

    X. Wu;M.L. Lee;W. Hsu

  • XClust: clustering XML schemas for effective integration

    Mong Li Lee;Liang Huai Yang;Wynne Hsu;Xia Yang

  • Using general impressions to analyze discovered classification rules

    Bing Liu;Wynne Hsu;Shu Chen

  • An integrated color-spatial approach to content-based image retrieval

    Wynne Hsu;S. T. Chua;H. H. Pung

  • Supporting frequent updates in R-trees: a bottom-up approach

    Mong Li Lee;Wynne Hsu;Christian S. Jensen;Bin Cui

  • An effective approach to detect lesions in color retinal images

    Huan Wang;Wynne Hsu;Kheng Guan Goh;Mong Li Lee

  • Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study

    Yuchen Xie;Quang D Nguyen;Haslina Hamzah;Gilbert Lim

  • A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

    Charumathi Sabanayagam;Dejiang Xu;Daniel Sw Ting;Simon Nusinovici

  • Post-analysis of learned rules

    Bing Liu;Wynne Hsu

  • Image Mining: Trends and Developments

    Wynne Hsu;Mong Li Lee;Ji Zhang

  • Finding interesting patterns using user expectations

    Bing Liu;Wynne Hsu;Lai-Fun Mun;Hing-Yan Lee

  • Mining relationships among interval-based events for classification

    Dhaval Patel;Wynne Hsu;Mong Li Lee

  • Image mining: issues, frameworks and techniques

    Ji Zhang;Wynne Hsu;Mong Li Lee

  • Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

    Valentina Bellemo;Gilbert Lim;Tyler Hyungtaek Rim;Gavin S W Tan

Frequent Co-Authors

Mong Li Lee
Mong Li Lee National University of Singapore
Bing Liu
Bing Liu University of Illinois at Chicago
Jie Jin Wang
Jie Jin Wang University of Sydney
See-Kiong Ng
See-Kiong Ng National University of Singapore
Limsoon Wong
Limsoon Wong National University of Singapore
Andrew Lim
Andrew Lim National University of Singapore
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore

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