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OCT feature analysis guided artery-vein differentiation in OCTA

https://doi.org/10.1364/boe.10.002055

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Hypertension and Retinopathy, Arteriolar Narrowing, and Arteriovenous Nicking in a Population

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Automated Grading of Venous Beading

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Graph-Based Methods for Retinal Mosaicing and Vascular Characterization

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MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework

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Using Retinex Image Enhancement to Improve the Artery/Vein Classification in Retinal Images

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Improving retinal artery and vein classification by means of a minimal path approach

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Improvement of mild retinopathy in type 2 diabetic patients correlates with narrowing of retinal arterioles. A prospective observational study

inferredcites →https://doi.org/10.1016/j.imavis.2008.02.013openalex-snapshot

Separation of the retinal vascular graph in arteries and veins based upon structural knowledge

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Retinal Arteriolar Narrowing and Left Ventricular Remodeling

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Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation

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Computer-assisted measurement of retinal vessel diameters in the Beaver Dam Eye Study*1methodology, correlation between eyes, and effect of refractive errors

inferredcites →https://doi.org/10.1016/s0008-4182(02)80062-xopenalex-snapshot

Retinal venous beading associated with recurrent branch vein occlusion

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Segmentation of macular fluorescein angiographies. A statistical approach

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Methods for evaluation of retinal microvascular abnormalities associated with hypertension/sclerosis in the atherosclerosis risk in communities study11The authors have no proprietary interest in the equipment and techniques described in this article.

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Inherited venous beading

inferredcites →https://doi.org/10.1097/iae.0000000000000867openalex-snapshot

DETECTION OF NONEXUDATIVE CHOROIDAL NEOVASCULARIZATION IN AGE-RELATED MACULAR DEGENERATION WITH OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY

inferredcites →https://doi.org/10.1109/icip.2003.1247151openalex-snapshot

A piecewise Gaussian model for profiling and differentiating retinal vessels

inferredcites →https://doi.org/10.1109/titb.2003.813792openalex-snapshot

A novel approach to diagnose diabetes based on the fractal characteristics of retinal images

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A Review of Methods for Correction of Intensity Inhomogeneity in MRI

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Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs

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Blood vessel classification into arteries and veins in retinal images

inferredcites →https://doi.org/10.1136/hrt.2008.146670openalex-snapshot

Retinopathy predicts coronary heart disease mortality

inferredcites →https://doi.org/10.1161/01.hyp.0000199104.61945.33openalex-snapshot

Retinal Vessel Diameters and Risk of Hypertension

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Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail

inferredcites →https://doi.org/10.1167/iovs.15-18904openalex-snapshot

Quantifying Microvascular Density and Morphology in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography Angiography

inferredcites →https://doi.org/10.1167/iovs.16-19656openalex-snapshot

Fractal Dimensional Analysis of Optical Coherence Tomography Angiography in Eyes With Diabetic Retinopathy

inferredcites →https://doi.org/10.1167/iovs.18-24831openalex-snapshot

Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography

inferredcites →https://doi.org/10.1167/tvst.7.2.23openalex-snapshot

Combining ODR and Blood Vessel Tracking for Artery–Vein Classification and Analysis in Color Fundus Images

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Modern technologies for retinal scanning and imaging: an introduction for the biomedical engineer

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Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

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Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

inferredcites →https://doi.org/10.5301/ejo.5000717openalex-snapshot

Vessel Density Calculated from OCT Angiography in 3 Peripapillary Sectors in Normal, Ocular Hypertensive, and Glaucoma Eyes

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Full‐field optical multi‐functional angiography based on endogenous hemodynamic characteristics

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Spatially enhanced U-Net with non-local attention gates for automated retinal vasculature and foveal avascular zone segmentation in optical coherence tomography angiography images

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112704openalex-snapshot

ODDF-Net: Multi-object segmentation in 3D retinal OCTA using optical density and disease features

inferred← citeshttps://doi.org/10.1016/j.media.2024.103092openalex-snapshot

OCTA-500: A retinal dataset for optical coherence tomography angiography study

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Artificial intelligence in OCT angiography

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A MATLAB package for automatic extraction of flow index in OCT-A images by intelligent vessel manipulation

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A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms

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Response of Diabetic Macular Edema to Anti-VEGF Medications Correlates with Improvement in Macular Vessel Architecture Measured with OCT Angiography

inferred← citeshttps://doi.org/10.1016/j.xops.2026.101416openalex-snapshot

Data-efficient transformer model for retinal artery-vein segmentation in landmark-deficient Optical Coherence Tomography Angiography

inferred← citeshttps://doi.org/10.1038/s43856-023-00287-9openalex-snapshot

An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography

inferred← citeshttps://doi.org/10.1080/03772063.2022.2098181openalex-snapshot

Atrous Fully Convolved Depth Concatenated Neural Network with Enriched Encoder for Retinal Artery–Vein Classification

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QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY REVEALS ROD PHOTORECEPTOR DEGENERATION in EARLY DIABETIC RETINOPATHY

inferred← citeshttps://doi.org/10.1109/tmi.2022.3214291openalex-snapshot

AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography

inferred← citeshttps://doi.org/10.1117/1.jbo.30.5.056005openalex-snapshot

Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography

inferred← citeshttps://doi.org/10.1117/12.2646724openalex-snapshot

Multi-fusion strategies for deep learning artery and vein segmentation in OCT angiography

inferred← citeshttps://doi.org/10.1117/12.3057677openalex-snapshot

Multimodal knowledge distillation-guided artery-vein segmentation network for OCT/OCTA images

inferred← citeshttps://doi.org/10.1167/iovs.65.10.20openalex-snapshot

Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy

inferred← citeshttps://doi.org/10.1177/1535370219899893openalex-snapshot

Quantitative optical coherence tomography angiography: A review

inferred← citeshttps://doi.org/10.1177/15353702211026581openalex-snapshot

Machine learning in optical coherence tomography angiography

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Deep learning for artery–vein classification in optical coherence tomography angiography

inferred← citeshttps://doi.org/10.1364/boe.399514openalex-snapshot

AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography

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Vascular morphology and blood flow signatures for differential artery-vein analysis in optical coherence tomography of the retina

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Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina

inferred← citeshttps://doi.org/10.1364/boe.468483openalex-snapshot

MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography

inferred← citeshttps://doi.org/10.1364/boe.521657openalex-snapshot

Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy

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Differential artery-vein analysis in OCTA for predicting the anti-VEGF treatment outcome of diabetic macular edema

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OCTA-ReVA + AV : an open-source toolbox for retinal artery–vein segmentation and analysis in OCT angiography

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Differential Artery–Vein Analysis Improves OCTA Classification of Diabetic Retinopathy

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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

inferred← citeshttps://doi.org/10.18240/ijo.2021.12.25openalex-snapshot

In depth understanding of retinitis pigmentosa pathogenesis through optical coherence tomography angiography analysis: a narrative review

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Differential artery-vein analysis in quantitative retinal imaging: a review

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A two-stage framework for optical coherence tomography angiography image quality improvement

inferred← citeshttps://doi.org/10.3390/app11209734openalex-snapshot

Automatic Segmentation and Classification Methods Using Optical Coherence Tomography Angiography (OCTA): A Review and Handbook

inferred← citeshttps://doi.org/10.3390/diagnostics16060934openalex-snapshot

Local Versus Global Binarization Techniques After Frangi Filtering for Optical Coherence Tomography Angiography Based Retinal Vessel Density Assessment in Diabetic Retinopathy

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