Author

J. Jonas

3 papers indexed here

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Open access Aug 2026

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

BACKGROUND RETFound, a self-supervised retina-specific foundation model, has shown potential in downstream tasks, but its performance in comparison with that of traditional deep-learning models remains unclear. We aimed to evaluate RETFound against three supervised deep-learning models (ResNet50, ViT-Base, and SwinV2)...

S. Yew, Xiao-Feng Lei, Jocelyn Hui Lin Goh et al. · The Lancet Digital Health · 0 citations

#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

A Vision Transformer-based deep learning model for glaucoma detection across multi-ethnic cohorts with and without HM showed robust glaucoma detection across myopic and non-myopic multi-ethnic populations and may support AI-assisted screening in settings with high HM prevalence.

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

Open access Aug 2026

Development of a predictive model for visual outcomes and risk factors of bilateral involvement for non-arteritic anterior ischemic optic neuropathy (NAION) in Chinese patients

Hyperlipidemia, hematologic disorders, and smoking were significant risk factors for bilateral NAION, whereas the severity of vision loss at onset, diabetes mellitus, hyperhomocysteinemia, and macular serous detachment were associated with poor visual prognosis in Chinese patients with NAION.

Xintong Xu, Mingming Sun, S. Cao et al. · Eye and Vision · 0 citations