| Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes D Ting, CY Cheung, G Lim, GSW Tan, DQ Nguyen, A Gan, H Hamzah, ... JAMA 318 (22), 2211-2223, 2017 | 1897 | 2017 |
| Artificial Intelligence for Diabetic Retinopathy Screening: A Review A Grzybowski, P Brona, G Lim, P Ruamviboonsuk, GSW Tan, M Abràmoff, ... Eye 34 (3), 451-460, 2020 | 312 | 2020 |
| 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, DQ Nguyen, Y Xie, M Yip, H Hamzah, J Ho, ... The Lancet Digital Health 1 (1), e35-e44, 2019 | 273 | 2019 |
| Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal E Trucco, A Ruggeri, T Karnowski, L Giancardo, E Chaum, ... Investigative Ophthalmology & Visual Science 54 (5), 3546-3559, 2013 | 202 | 2013 |
| Artificial Intelligence for Teleophthalmology-Based Diabetic Retinopathy Screening in a National Program: An Economic Analysis Modelling Study Y Xie, DQ Nguyen, H Hamzah, G Lim, V Bellemo, DV Gunasekeran, M Yip, ... The Lancet Digital Health 2 (5), e240-e249, 2020 | 197 | 2020 |
| Artificial Intelligence Screening for Diabetic Retinopathy: The Real-world Emerging Application V Bellemo, G Lim, TH Rim, GSW Tan, CY Cheung, S Sadda, MG He, ... Current Diabetes Reports 19 (9:72), 1-12, 2019 | 150 | 2019 |
| Integrated Optic Disc and Cup Segmentation with Deep Learning G Lim, Y Cheng, W Hsu, ML Lee Tools with Artificial Intelligence (ICTAI), 27th IEEE International …, 2015 | 129 | 2015 |
| Different Fundus Imaging Modalities and Technical Factors in AI Screening for Diabetic Retinopathy: A Review G Lim, V Bellemo, Y Xie, XQ Lee, M Yip, D Ting Eye and Vision 7 (21), 1-13, 2020 | 78 | 2020 |
| Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening G Lim, ML Lee, W Hsu, TY Wong MAIHA, Workshops at the Twenty-Eighth AAAI Conference on Artificial …, 2014 | 66 | 2014 |
| Deep Learning in Estimating Prevalence and Systemic Risk Factors for Diabetic Retinopathy: A Multi-ethnic Study D Ting, CY Cheung, DQ Nguyen, C Sabanayagam, G Lim, ZW Lim, ... npj Digital Medicine 2 (24), 1-8, 2019 | 61 | 2019 |
| Application of Artificial Intelligence in Cataract Management: Current and Future Directions L Gutierrez, J Lim, DSW Ting, LL Foo, WY Ng, M Yip, G Lim, M Wong, ... Eye and Vision 9 (3), 1-11, 2022 | 53 | 2022 |
| Multi-task Learning for Diabetic Retinopathy Grading and Lesion Segmentation A Foo, ML Lee, W Hsu, G Lim, TY Wong Innovative Applications of Artificial Intelligence (IAAI), Thirty-Second …, 2020 | 51 | 2020 |
| Technical and Imaging Factors Influencing Performance of Deep Learning Systems for Diabetic Retinopathy Screening M Yip, G Lim, ZW Lim, DQ Nguyen, C Chong, M Yu, V Bellemo, Y Xie, ... npj Digital Medicine 3 (40), 1-12, 2020 | 42* | 2020 |
| Updates in Deep Learning Research in Ophthalmology WY Ng, S Zhang, Z Wang, C Ong, DV Gunasekeran, G Lim, F Zheng, ... Clinical Science 135 (20), 2357-2376, 2021 | 28 | 2021 |
| Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study G Lim, ZW Lim, D Xu, D Ting, TY Wong, ML Lee, W Hsu Innovative Applications of Artificial Intelligence (IAAI), Thirty-First …, 2019 | 27 | 2019 |
| Generative Data Augmentation for Diabetic Retinopathy Classification G Lim, P Thombre, ML Lee, W Hsu Tools with Artificial Intelligence (ICTAI), 32nd IEEE International …, 2020 | 20 | 2020 |
| Artificial Intelligence in Myopia: Current and Future Trends LL Foo, WY Ng, G Lim, TE Tan, M Ang, D Ting Current Opinion in Ophthalmology 32 (5), 413-424, 2021 | 19 | 2021 |
| Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore Y Xie, Q Nguyen, V Bellemo, M Yip, XQ Lee, H Hamzah, G Lim, W Hsu, ... Investigative Ophthalmology & Visual Science 60 (9), 5471-5471, 2019 | 17 | 2019 |
| Acceptance and Perception of Artificial Intelligence (AI) Usability in Eye care (APPRAISE) for Ophthalmologists: A Multinational Perspective DV Gunasekeran, F Zheng, G Lim, C Chong, S Zhang, WY Ng, S Keel, ... Frontiers in Medicine 9, 875242, 2022 | 16 | 2022 |
| Generative Adversarial Networks in Ophthalmology: What Are These and How Can They Be Used? Z Wang, G Lim, WY Ng, PA Keane, JP Campbell, GSW Tan, ... Current Opinion in Ophthalmology 32 (5), 459-467, 2021 | 16 | 2021 |
