Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension.

Investigative ophthalmology & visual science - 1 Jul 2015

Christopher Mark, Abràmoff Michael D, Tang Li, Gordon Mae O, Kass Michael A, Budenz Donald L, Fingert John H, Scheetz Todd E

Abstract excerpt

PURPOSE: To identify objective, quantitative optic nerve head (ONH) structural features and model the contributions of glaucoma. METHODS: Baseline stereoscopic optic disc images of 1635 glaucoma-free participants at risk for developing primary open-angle glaucoma (POAG) were collected as part of the Ocular Hypertension Treatment Study. A stereo correspondence algorithm designed for fundus images was applied to...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Glaucoma, Open-Angle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Imaging, Three-Dimensional

Share to Intraocular Pressure

Share to Optic Disk

Share to Optic Nerve Diseases

Share to Photography

Share to Visual Fields

Source

Open in PubMed Open full text

Identifiers

PMID: 26193923
DOI: 10.1167/iovs.14-16142
PMCID: PMC4509059

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Stereo Photo Measured ONH Shape Predicts Development of POAG in Subjects With Ocular Hypertension.PMID 26193923Read ↗

3D Structural Phenotype of the Optic Nerve Head in Glaucoma and Myopia-A Key to Improving Glaucoma Diagnosis in Myopic Populations.Semantic proximity Read ↗

Dense Optic Nerve Head Deformation Estimated using CNN as a Structural Biomarker of Glaucoma ProgressionSemantic proximity Read ↗

Three-Dimensional Structural Phenotype of the Optic Nerve Head as a Function of Glaucoma Severity.Semantic proximity Read ↗

Deep Learning–Assisted Topological Analysis of Optic Nerve Head Structures Improves Glaucoma Detection in Highly Myopic EyesSemantic proximity Read ↗

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.Semantic proximity Read ↗

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.Semantic proximity Read ↗

The German National Cohort: Ophthalmological Assessment, Baseline Profile and Potential for AI-based Eye ResearchSemantic proximity Read ↗

Automated quantification of inherited phenotypes from color images: a twin study of the variability of optic nerve head shape.Semantic proximity Read ↗

DINO-EYE: Self-Supervised Learning for Identification of Different Optic Disc Phenotypes in Primary Open Angle GlaucomaSemantic proximity Read ↗

Circular functional analysis of OCT data for precise identification of structural phenotypes in the eyeSemantic proximity Read ↗

Datasheet for the IDHea Primary Eye Care Dataset: A Real-World Ocular Imaging Resource for ResearchSemantic proximity Read ↗

DINO-EYE: self-supervised learning for identification of different optic disc phenotypes in primary open angle glaucoma.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.