Skip to content

Author

Jaemin Park

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Oct 2026

Smartphone-Based Deep Learning Exophthalmometry in Thyroid Eye Disease: A Multicenter, Multiethnic Validation Study.

BACKGROUND Proptosis is the principal quantitative measure of disease severity in thyroid eye disease (TED), but Hertel exophthalmometry has substantial interobserver variability and requires in-person specialist visits. Existing deep learning (DL) proptosis-from-photograph models require studio-acquired images. We aim...

Jae Hoon Moon, Joonhyeon Park, Min Joo Kim et al. · 0 citations
Sep 2026

Generalisation of a deep learning-based exophthalmometry system using facial photographs for non-thyroidal orbital disease.

The TED-trained photoexophthalmometry system showed good agreement with Hertel measurements in healthy individuals and patients with non-TED orbital disease, and these findings support its use as an adjunct to clinical examination for objective quantification and documentation of globe position.

J. Park, H. Byeon, Kyubo Shin et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.