Weng Onn Chan (WengOnn Chan)

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 6

Top Topics

Convolutional Neural Network

Cataract Surgery

Artificial Intelligence

Top Venues

Journal of medical Internet research

European journal of ophthalmology

Clinical & experimental ophthalmology

This page only lists publications with an associated author ORCID identifier.

Publications

Yong Min Lee, Bobak Bahrami, Duleepa Baranage, Premala Devi Sivagurunathan, Wilson Wong, Montserrat Maria Bausili, Surbhi Agrawal, Jagjit Singh Gilhotra, Shane Durkin, David Sia, Dinesh Selva, Stewart R Lake, Robert J Casson, Weng Onn Chan
Topical dorzolamide for macular holes: A randomised, double-blind, placebo-controlled trial. Clinical & experimental ophthalmology (2024)
Eiman Usmani, Stephen Bacchi, Hao Zhang, Chelsea Guymer, Amber Kraczkowska, Javen Qinfeng Shi, Jagjit Gilhotra, Weng Onn Chan
Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study. European journal of ophthalmology (2024)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)