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Research & Innovation

Retinal neural dysfunction in diabetes revealed with handheld chromatic pupillometry

Tien-En Tan, Maxwell T. Finkelstein, Gavin Siew Wei Tan, Anna Cheng Sim Tan, Choi Mun Chan, Ranjana Mathur, Edmund Yick Mun Wong, Chui Ming Gemmy Cheung, Tien Yin Wong, Dan Milea, Raymond P. Najjar PhD

May, 2022

Detecting visually significant cataract using retinal photograph-based deep learning

Yih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, Xiaofeng Lei, Tyler Hyungtaek Rim, Miao-Li Chee, Ya Xing Wang, Jost B. Jonas, Sahil Thakur, Zhen Ling Teo, Ning Cheung, Haslina Hamzah, Gavin S. W. Tan, Rahat Husain Charumathi Sabanayagam, Jie Jin Wang, Qingyu Chen, Zhiyong Lu, Tiarnan D. Keenan, Emily Y. Chew, Ava Grace Tan, Paul Mitchell, Rick S. M. Goh, Xinxing Xu, Yong Liu, Tien Yin Wong, Ching-Yu Cheng

February, 2022

Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device

David Chen, Yvonne Ho, Yuki Sasa, Jieying Lee, Ching Chiuan Yen, Clement Tan

June, 2021

Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study

Yih-Chung Tham, Ayesha Anees, Liang Zhang, Jocelyn Hui Lin Goh, Tyler Hyungtaek Rim, Simon Nusinovici, Haslina Hamzah, Miao-Li Chee, Gabriel Tjio, Shaohua Li, Xinxing Xu, Rick Goh, Fangyao Tang, Carol Yim-Lui Cheung, Ya Xing Wang, Vinay Nangia, Jost B Jonas, Bamini Gopinath, Paul Mitchell, Rahat Husain, Ecosse Lamoureux, Charumathi Sabanayagam, Jie Jin Wang, Tin Aung, Yong Liu, Tien Yin Wong, Ching-Yu Cheng

January, 2021