Longitudinal reproducibility of optical coherence tomography measurements in children-Reference-Cited by-同舟云学术

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Longitudinal reproducibility of optical coherence tomography measurements in children

Published:2012-12 Issue:6 Volume:16 Page:523-528
ISSN:1091-8531
Container-title:Journal of American Association for Pediatric Ophthalmology and Strabismus
language:en
Short-container-title:Journal of American Association for Pediatric Ophthalmology and Strabismus

Author:

Prakalapakorn Sasapin G.,Freedman Sharon F.,Lokhnygina Yuliya,Gandhi Nandini G.,Holgado Sandra,Chen Bei Bei,El-Dairi Mays A.

Publisher

Elsevier BV

Subject

Ophthalmology,Pediatrics, Perinatology and Child Health

Reference18 articles.

1. Reproducibility of retinal mapping using optical coherence tomography;Massin;Arch Ophthalmol,2001

2. Reproducibility of nerve fiber thickness, macular thickness, and optic nerve head measurements using StratusOCT;Paunescu;Invest Ophthalmol Vis Sci,2004

3. Identifying early glaucoma with optical coherence tomography;Nouri-Mahdavi;Am J Ophthalmol,2004

4. Optical coherence tomography longitudinal evaluation of retinal nerve fiber layer thickness in glaucoma;Wollstein;Arch Ophthalmol,2005

5. Macular and retinal nerve fiber layer analysis of normal and glaucomatous eyes in children using optical coherence tomography;Hess;Am J Ophthalmol,2005

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1. Optical coherence tomography in the diagnosis of glaucomatous optical neuropathy in children with primary congenital glaucoma;Russian Ophthalmological Journal;2023-10-09

2. Pediatric Glaucoma—From Screening, Early Detection to Management;Children;2023-01-18

3. Hand-held optical coherence tomography: advancements in detection and assessment of optic nerve abnormalities and disease progression monitoring;Expert Review of Ophthalmology;2022-03-04

4. Reproducibility of SD-OCT inner macular layer thickness measurements in children with primary congenital glaucoma;Journal Français d'Ophtalmologie;2021-10

5. Automatic detection of papilledema through fundus retinal images using deep learning;Microscopy Research and Technique;2021-07-08

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