Gavin Siew Wei Tan

According to our database, Gavin Siew Wei Tan authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.

Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting

IEEE Trans. Medical Imaging, May, 2024

Optical coherence tomography choroidal enhancement using generative deep learning.

Valentina Bellemo, Ankit Kumar Das, Syna Sreng, Jacqueline Chua, Damon Wing Kee Wong, Janika Shah, Rahul Jonas, Bingyao Tan, Xinyu Liu, Xinxing Xu, Gavin Siew Wei Tan, Rupesh Agrawal, Daniel Shu Wei Ting, Liu Yong, Leopold Schmetterer

npj Digit. Medicine, 2024

2023

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Bjorn Kaijun Betzler, Evelyn Chee, Feng He, Cynthia Ciwei Lim, Jinyi Ho, Haslina Hamzah, Ngiap Chuan Tan, Gerald Liew, Gareth J. McKay, Ruth E. Hogg, Ian S. Young, Ching-Yu Cheng, Su Chi Lim, Aaron Y. Lee, Tien Yin Wong, Mong-Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Charumathi Sabanayagam

J. Am. Medical Informatics Assoc., November, 2023

2022

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.

Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang

Patterns, 2022

DP-GAT: A Framework for Image-based Disease Progression Prediction.

Alex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Michelle Yuen Ting Yip, Gilbert Lim, Zhan Wei Lim, Quang Duc Nguyen, Crystal C. Y. Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin Siew Wei Tan, Wynne Hsu, Mong-Li Lee, Tien Yin Wong, Daniel S. W. Ting

npj Digit. Medicine, 2020

2019

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.

Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Siew Wei Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost B. Jonas, Rohit Varma, Mong-Li Lee, Wynne Hsu, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong

npj Digit. Medicine, 2019

2017

An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images.

Désiré Sidibé, Shrinivasan Sankar, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Carol Yim-lui Cheung, Gavin Siew Wei Tan, Dan Milea, Ecosse Lamoureux, Tien Yin Wong, Fabrice Mériaudeau

Comput. Methods Programs Biomed., 2017