AI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia

The progression of myopia is associated with a series of quantitative retinal vascular parameters, particularly the vascular angles. As the degree of myopia increases, the diversity of vascular characteristics represented by these parameters also increases.

Authors

Institutions

Publication Details

Journal
BMC Ophthalmology
Published
2024-09-27
DOI
https://doi.org/10.1186/s12886-024-03682-5
Citations
7
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
2.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia

M. Ali Nasseri, Junjie Yang, Daniel Zapp, Zhihao Zhao et al.
7 citations
BMC Ophthalmology
Retinal Imaging and Analysis
2.83
article

AI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia

M. Ali Nasseri, Junjie Yang, Daniel Zapp, Zhihao Zhao, Li Li, Yinzheng Zhao
article en
7 citations

Abstract

The progression of myopia is associated with a series of quantitative retinal vascular parameters, particularly the vascular angles. As the degree of myopia increases, the diversity of vascular characteristics represented by these parameters also increases.

BMC OphthalmologyVol. 24(1)
Munich University of Applied Sciences (DE), Klinik und Poliklinik für Augenheilkunde Universitätsklinikum Regensburg (DE), Beijing Children’s Hospital (CN), Technical University of Munich (DE)
Technische Universität München, Bayerische Forschungsallianz
Openalex Percentile: Top 9%
Retinal Imaging and Analysis
2.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia — M. Ali Nasseri, Junjie Yang, et al. · BMC Ophthalmology (2024) | TGRS Research Map | TGRS