Author

Ten Cheer Quek

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#artificial intelligence Preprint Sep 2026

Detecting Glaucoma Across Multi-ethnic Myopic and Non-Myopic Populations Using an Uncertainty-Aware Vision Transformer: A Multicentre Model Development and Validation Study

Background: Artificial intelligence (AI)-based glaucoma detection from colour fundus photographs (CFP) offers scalable screening, but performance may decline on external datasets because of differences in ground-truth definitions, populations, and coexisting conditions such as high myopia (HM). We developed and validat...

R. Lavanya, Yang-Qin Feng, Ten Cheer Quek et al. · 0 citations

#artificial intelligence Preprint Apr 2025

Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers

GlobeReady is developed, a deployment-oriented platform powered by the RetiGlobe model and local feature augmentation that evaluates domain generalisability, Bayesian uncertainty quantification, out-of-distribution (OOD) detection, and feature-based case retrieval in medical imaging diagnostics.

Meng Wang, Tian Lin, Qing-Shan Hou et al. · 1 citation