Back to search

Article

FORGE: Functionally-guided OCT Representation for Glaucoma Endophenotyping

2026-05-12

Abstract excerpt

Glaucoma endophenotyping remains challenging due to disease heterogeneity and the limitations of single-modality structural imaging. We introduce FORGE (Functionally-guided OCT Representation for Glaucoma Endo-phenotyping), a cross-modal contrastive learning framework that integrates visual field (VF) functional signals as privileged supervision during training to produce functionally informed macular RNFL (mRNFL)...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8b71dcdd-135e-5865-8f7c-cfbeb9c27050
DOI
10.64898/2026.05.08.26352729
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
FORGE: Functionally-guided OCT Representation for Glaucoma EndophenotypingDOI 10.64898/2026.05.08.26352729
Deep-learning-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discoverySemantic proximity
Deep-learning-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discoverySemantic proximity
REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye diseaseSemantic proximity
Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkersSemantic proximity
Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkersSemantic proximity
Ophthalmic imaging as a measure of cardiovascular and neurological health: a multi-omic analysis of deep-learning derived phenotypesSemantic proximity
Enhancing Glaucoma Detection through Supervised Pre-training with Intermediate Phenotypes: A Multi-Institutional StudySemantic proximity
Multimodal deep learning approaches for improving polygenic risk scores with imaging data.Semantic proximity
Deriving OCT-Equivalent Retinal Nerve Fiber Layer Thickness Maps from Fundus Photographs with Deep Learning Improves Glaucoma DiagnosisSemantic proximity
Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits.Semantic proximity
iGWAS: Image-based genome-wide association of self-supervised deep phenotyping of retina fundus images.Semantic proximity
A Novel Clinically Explainable Vision Transformer for OCT-Based Retinal Disease Classification: Integrating UniMIE Enhancement and Grad-CAM InterpretabilitySemantic proximity
Select a neighboring publication to make it the new centre.