Artificial Intelligence, for Medicine

We operate at the intersection of computer science and healthcare,
blending cutting-edge academic research with extensive expertise in industrial deployment

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Key Projects

SELENA+

A deep learning-based screening system that examines retinal fundus photographs for various eye conditions, including diabetic retinopathy, age-related macular degeneration (AMD) and glaucoma. It has been validated on nearly half a million retinal images, with the findings published in JAMA.

Trials are currently ongoing for SELENA+ to become the first nationally-adopted automated screening solution by 2022, as part of one of five National Projects within Singapore's National Artificial Intelligence (AI) Strategy plan.

For commercialization opportunities, please contact EyRIS.

SIVA+

An integrated platform for retinal vessel assessment that allows the automatic extraction and quantitative measurement of vascular structure. Parameters found include vessel caliber, fractal dimension, tortuosity and bifurcation, which have been found to be useful in estimating the risk of diseases such as stroke, heart disease, hypertension and diabetes.

Continually refined over more than a decade, SIVA+ has been utilized by many research groups worldwide.


CHESS

The Clinical History Extractor for Syndromic Surveillance is a collaboration with the Saw Swee Hock School of Public Health, and comprises a natural language processing algorithm for free-text medical records.










Publications

    2020

  1. Multi-task Learning for Diabetic Retinopathy Grading and Lesion Segmentation.
    Innovative Applications of Artificial Intelligence (IAAI).
    Alex Foo, Mong Li Lee, Wynne Hsu, Gilbert Lim and Tien Yin Wong.


    2. 2019

  2. Technical and Clinical Challenges of A.I. in Retinal Image Analysis.
    Computational Retinal Image Analysis: Tools, Applications and Perspectives, Chapter 21, pp 445 — 466.
    Gilbert Lim, Wynne Hsu, Mong Li Lee, Daniel S. W. Ting and Tien Yin Wong.

  3. Artificial Intelligence for Diabetic Retinopathy Screening: A Review.
    Eye.
    Andrzej Grzybowski, Piotr Brona, Gilbert Lim, Paisan Ruamviboonsuk, Gavin S. W. Tan, Michael Abràmoff and Daniel S. W. Ting.

  4. Artificial Intelligence Screening for Diabetic Retinopathy: The Real-world Emerging Application.
    Current Diabetes Reports 19.9, e72.
    Valentina Bellemo, Gilbert Lim, Tyler H. Rim, Gavin S. W. Tan, Carol Y. Cheung, Srinivas Sadda, Ming Guang He, Adnan Tufail, Mong Li Lee, Wynne Hsu and Daniel S. W. Ting.

  5. Artificial Intelligence using Deep Learning To Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa: A Clinical Validation Study.
    The Lancet Digital Health 1.1, pp. e35 — e44.
    Valentina Bellemo, Zhan Wei Lim, Gilbert Lim, Duc Quang Nguyen, Yuchen Xie, Michelle Yip, Haslina Hamzah, Jinyi Ho, Xin Qi Lee, Wynne Hsu, Mong Li Lee, Lillian Musonda, Manju Chandran, Grace Chipalo-Mutati, Mulenga Muma, Gavin S. W. Tan, Sobha Sivaprasad, Geeta Menon, Tien Yin Wong and Daniel S. W. Ting.

  6. Deep Learning in Estimating Prevalence and Systemic Risk Factors for Diabetic Retinopathy: A Multi-ethnic Study.
    npj Digital Medicine 2, e24.
    Daniel S. W. Ting, Carol Y. Cheung, Duc Quang Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin S. W. Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost Jonas, Rohit Varma, Mong Li Lee, Wynne Hsu, Ecosse L. Lamoureux, Ching-Yu Cheng and Tien Yin Wong.

  7. Building Trust in Deep Learning System towards Automated Disease Detection.
    Innovative Applications of Artificial Intelligence (IAAI).
    Zhan Wei Lim, Mong Li Lee, Wynne Hsu and Tien Yin Wong.

  8. Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study.
    Innovative Applications of Artificial Intelligence (IAAI).
    Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel S. W. Ting, Tien Ying Wong, Mong Li Lee and Wynne Hsu.


    9. 2018

  9. Intermediate Goals in Deep Learning for Retinal Image Analysis.
    ACCV Workshop on AI for Retinal Image Analysis (AIRIA).
    Gilbert Lim, Mong Li Lee and Wynne Hsu.

  10. Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning.
    ACCV Workshop on AI for Retinal Image Analysis (AIRIA).
    Michelle Yip, Zhan Wei Lim, Gilbert Lim, Duc Quang Nguyen, Haslina Hamzah, Jinyi Ho, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Mong Li Lee, Wynne Hsu, Tien Yin Wong and Daniel S. W. Ting.

  11. Artificial Intelligence using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs.
    ACCV Workshop on AI for Retinal Image Analysis (AIRIA).
    Valentina Bellemo, Michelle Yip, Yuchen Xie, Xin Qi Lee, Duc Quang Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong Li Lee, Wynne Hsu, Renata García-Franco, Geeta Menon, Ecosse L. Lamoureux, Ching-Yu Cheng, Tien Yin Wong and Daniel S. W. Ting.

  12. A Differential-based Approach for Vessel Type Classification in Retinal Images.
    IEEE International Conference on Image Processing (ICIP).
    Dejiang Xu, Gilbert Lim, Mong Li Lee and Wynne Hsu.

  13. Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.
    JMIR Medical Informatics 6.2, pp. e36.
    Antony Hardjojo, Arunan Gunachandran, Long Pang, Mohammed Ridzwan bin Abdullah, Win Wah, Joash C. W. Chen, Ee Hui Goh, Sock Huang Teo, Gilbert Lim, Mong Li Lee, Wynne Hsu, Vernon Lee, Mark I-Cheng Chen, Franco Wong, and Jonathan S. K. Phang.


    14. 2017

  14. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
    JAMA 318.22, pp. 2211 — 2223.
    Daniel S. W. Ting, Carol Y. Cheung, Gilbert Lim, Gavin S. W. Tan, Duc Quang Nguyen, Alfred Gan, Haslina Hamzah, Renata García-Franco, Ian Y. S. Yeo, Shu Yen Lee, Edmund Y. M. Wong, Charumathi Sabanayagam, Baskaran Mani, Farah Ibrahim, Ngiap Chuan Tan, Eric A. Finkelstein, Ecosse L. Lamoureux, Ian Y. Wong, Neil M. Bressler, Sobha Sivaprasad, Rohit Varma, Jost Jonas, Ming Guang He, Ching-Yu Cheng, Gemmy C. M. Cheung, Tin Aung, Wynne Hsu, Mong Li Lee, and Tien Yin Wong.


    15. 2016

  15. An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection.
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
    Jay Nandy, Mong Li Lee and Wynne Hsu.

  16. Comparison of Common Retinal Vessel Caliber Measurement Software and a Conversion Algorithm.
    Translational Vision Science and Technology 5.5.11.
    WanFen Yip, Yih Chung Tham, Wynne Hsu, Mong Li Lee, Ronald Klein, Barbara Klein, Mohammad Kamran Ikram, Tien Yin Wong and Carol Y. Cheung.


    17. 2015

  17. Integrated Optic Disc and Cup Segmentation with Deep Learning.
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
    Gilbert Lim, Yuan Cheng, Mong Li Lee and Wynne Hsu.


    18. 2014

  18. Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening.
    AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA).
    Gilbert Lim, Mong Li Lee, Wynne Hsu and Tien Yin Wong.

  19. Measurement of Macular Fractal Dimension using a Computer-Assisted Program.
    Investigative Ophthalmology and Visual Science 55.4, pp. 2237 — 2243.
    George N. Thomas, Shin-Yeu Ong, Yih Chung Tham, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Wanting Tay, Jessica Alessi-Calandro, Lauren Hodgson, Ryo Kawasaki, Tien Yin Wong and Carol Y. Cheung.

  20. The Singapore Eye Vessel Assessment System.
    Image Analysis and Modeling in Ophthalmology, Chapter 8, pp. 143 — 160.
    Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu and Tien Yin Wong.


    21. 2013

  21. Simultaneously Identifying All True Vessels from Segmented Retinal Images.
    IEEE Transactions on Biomedical Engineering 60.7, pp. 1851 — 1858.
    Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu and Tien Yin Wong.


    22. 2012

  22. Constrained-MSER Detection of Retinal Pathology.
    International Conference on Pattern Recognition (ICPR).
    Gilbert Lim, Mong Li Lee and Wynne Hsu.

  23. Correlation and Reproducibility of Retinal Vascular Geometric Measurements for Stereoscopic Retinal Images of the Same Eyes.
    Ophthalmic Epidemiology 19.5, pp. 322 — 327.
    Muhammad Bayu Sasongko, Lauren A. B. Hodgson, Tien Y. Wong, Ryo Kawasaki, Carol Y. Cheung, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Paul Mitchell and Jie Jin Wang.

  24. Retinal Vascular Fractal Dimension and its Relationship with Cardiovascular and Ocular Risk Factors.
    American Journal of Ophthalmology 154.4, pp. 663 — 674.
    Carol Y. Cheung, George N. Thomas, Wanting Tay, Mohammad Kamran Ikram, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau and Tien Yin Wong.


    25. 2011

  25. Quantitative and Qualitative Retinal Microvascular Characteristics and Blood Pressure.
    Journal of Hypertension 29.7, pp. 1380 — 1391.
    Carol Y. Cheung, Wan Ting Tay, Paul Mitchell, Jie Jin Wang, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Ai Ling Zhu, Ronald Klein, Seang Mei Saw and Tien Yin Wong.

  26. Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors.
    Ophthalmology 118.5, pp. 812 — 818.
    Carol Y. Cheung, Yingfeng Zheng, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Paul Mitchell, Jie Jin Wang, Ronald Klein and Tien Yin Wong.


    27. 2010

  27. Fractal Analysis of Retinal Microvasculature and Coronary Heart Disease Mortality.
    European Heart Journal 32.4, pp. 422 — 429.
    Gerald Liew, Paul Mitchell, Elena Rochtchina, Tien Yin Wong, Wynne Hsu, Mong Li Lee, Alan Wainwright and Jie Jin Wang.

  28. Effect of Image Quality, Color, and Format on the Measurement of Retinal Vascular Fractal Dimension.
    Investigative Ophthalmology & Visual Science 51.11, pp. 5525 — 5529.
    Alan Wainwright, Gerald Liew, George Burlutsky, Elena Rochtchina, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Tien Yin Wong, Paul Mitchell and Jie Jin Wang.

  29. Retinal Vascular Fractal Dimension Measurement and Its Influence from Imaging Variation: Results of Two Segmentation Methods.
    Current Eye Research 35.9, pp. 850 — 856.
    Victoria Cosatto, Gerald Liew, Elena Rochtchina, Alain Wainwright, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Haslina Hamzah, Paul Mitchell, Tien Yin Wong and Jie Jin Wang.

  30. A New Method to Measure Peripheral Retinal Vascular Caliber over an Extended Area.
    Microcirculation 17.7, pp. 495 — 503.
    Carol Y. Cheung, Wynne Hsu, Mong Li Lee, Jie Jin Wang, Paul Mitchell, Qiangfeng Peter Lau, Haslina Hamzah, Maisie Ho and Tien Yin Wong.

  31. Alterations in Retinal Microvascular Geometry in Young Type 1 Diabetes.
    Diabetes Care 33.6, pp. 1331 — 1336.
    Muhammad Sasongko, Jie Jin Wang, Kim Donaghue, Ning Cheung, Paul Benitez-Aguirre, Alicia Jenkins, Wynne Hsu, Mong Li Lee and Tien Yin Wong.

  32. Lens Opacity and Refractive Influences on the Measurement of Retinal Vascular Fractal Dimension.
    Acta Ophthalmologica 88.6, pp. 234 — 240.
    Haitao Li, Paul Mitchell, Gerald Liew, Elena Rochtchina, Annette Kifley, Tien Yin Wong, Wynne Hsu, Mong Li Lee, Yong Ping Zhang and Jie Jin Wang.


    33. 2009

  33. Detection of Retinal Blood Vessels Based on Nonlinear Projections.
    Journal of Signal Processing Systems, 55.1-3, pp. 103 — 112.
    Yongping Zhang, Wynne Hsu and Mong Li Lee.

  34. Quantitative Assessment of Early Diabetic Retinopathy Using Fractal Analysis.
    Diabetes Care 32.1, pp. 106 — 110.
    Ning Cheung, Kim Donaghue, Gerald Liew, Sophie Rogers, Jie Jin Wang, Shueh-Wen Lim, Alicia Jenkins, Wynne Hsu, Mong Li Lee and Tien Yin Wong.


    35. 2008

  35. The Retinal Vasculature as a Fractal: Methodology, Reliability, and Relationship to Blood Pressure.
    Ophthalmology 11.5, pp. 1951 — 1956.
    Gerald Liew, Jie Jin Wang, Ning Cheung, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Paul Mitchell, Gabriella Tikellis, Bronwen Taylor and Tien Yin Wong.


    36. 2007

  36. Prediction of Cerebral Aneurysm Rupture.
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
    Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu, Ying Mao and Liang Chen.

  37. Segmentation of Retinal Vessels Using Nonlinear Projections.
    IEEE International Conference on Image Processing (ICIP).
    Yongping Zhang, Wynne Hsu and Mong Li Lee.


    38. 2005

  38. Automated Microaneurysm Segmentation and Detection using Generalized Eigenvectors.
    IEEE Workshop on Applications of Computer Vision (WACV).
    P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee and Say Song Goh.

  39. Automatic Grading of Retina Vessel Caliber.
    IEEE Transactions on Biomedical Engineering 52.7, pp. 1353 — 1355.
    Huiqi Li, Wynne Hsu, Mong Li Lee and Tien Yin Wong.


    40. 2004

  40. Techniques for Temporal Registration of Retinal Images.
    IEEE International Conference on Image Processing (ICIP).
    Bin Fang, Wynne Hsu and Mong Li Lee.

  41. Automated Optic Disc Localization and Contour Detection Using Ellipse Fitting and Wavelet Transform.
    European Conference on Computer Vision (ECCV).
    P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee and Kah-Guan Au Eong.

  42. Abnormality Detection in Retinal Images.
    Singapore-MIT Alliance Technical Report.
    Xiaoxue Yu, Wynne Hsu, Wee Sun Lee and Tomás Lozano-Pérez.


    43. 2003

  43. Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection.
    International Conference on Computer Analysis of Images and Patterns (CAIP).
    Tai Peng Tian, Ying Chen, Wee Kheng Leow, Wynne Hsu, Tet Sen Howe and Meng Ai Png.

  44. Reconstruction of Vascular Structures in Retinal Images.
    IEEE International Conference on Image Processing (ICIP).
    Bin Fang, Wynne Hsu and Mong Li Lee.

  45. A Piecewise Gaussian Model for Profiling and Differentiating Retinal Vessels.
    IEEE International Conference on Image Processing (ICIP).
    Huiqi Li, Wynne Hsu, Mong Li Lee and Hongyu Wang.

  46. On the Accurate Counting of Tumor Cells.
    IEEE Transactions on NanoBioscience 2.2, pp. 94 — 103.
    Bin Fang, Wynne Hsu and Mong Li Lee.


    47. 2002

  47. Advanced Database Technologies in a Diabetic Healthcare System.
    International Conference on Very Large Databases (VLDB).
    Wynne Hsu, Mong Li Lee, Beng Chin Ooi, Pranab Kumar Mohanty, Keng Lik Teo and Chenyi Xia.

  48. Tumor Cell Identification using Features Rules.
    International Conference on Knowledge Discovery and Data Mining (SIGKDD).
    Bin Fang, Wynne Hsu and Mong Li Lee.


    49. 2001

  49. The Role of Domain Knowledge in the Detection of Retinal Hard Exudates.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
    P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee and Kah-Guan Au Eong.


    50. 2000

  50. ADRIS: an Automatic Diabetic Retinal Image Screening system.
    Medical Data Mining and Knowledge Discovery, pp. 181 — 210.
    Kheng Guan Goh, Wynne Hsu, Mong Li Lee and Huan Wang.

  51. An Effective Approach to Detect Lesions in Color Retinal Images.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
    Huan Wang, Wynne Hsu, Kheng Guan Goh and Mong Li Lee.

  52. Exploration Mining in Diabetic Patient Databases: Findings and Conclusions.
    International Conference on Knowledge Discovery and Data Mining (SIGKDD).
    Wynne Hsu, Mong Li Lee, Bing Liu and Tok Wang Ling.

  53. Image Mining in IRIS: Integrated Retinal Information System.
    International Conference on the Management of Data (SIGMOD).
    Wynne Hsu, Mong Li Lee and Kheng Guan Goh.

People
Supervisors

Wynne Hsu · Mong Li Lee

Postdoctoral Fellows

Gilbert Lim · Dejiang Xu

PhD Students

Jay Nandy · Sandareka Kumudu Kumari Wickramanayake

Alumni

Yuan Cheng · Fanbo Deng · Feng Ding
Bin Fang · Qiangfeng Peter Lau · Huiqi Li · Zhan Wei Lim
P.M.D.S Pallawala · Rina Rudyanto · Yongping Zhang


School of Computing, National University of Singapore,
i4.0 Building, #05-05, 3 Research Link, 117602

whsu@comp.nus.edu.sg

+65 6601-1052