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https://doi.org/10.2139/ssrn.4650585

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inferredcites →https://doi.org/10.1002/jbio.201900103openalex-extracted
Automated quantification of superficial retinal capillaries and large vessels for diabetic retinopathy on optical coherence tomographic angiography
inferredcites →https://doi.org/10.1007/bfb0056195openalex-extracted
Multiscale vessel enhancement filtering
inferredcites →https://doi.org/10.1016/j.ajo.2019.01.012openalex-extracted
Earliest Evidence of Preclinical Diabetic Retinopathy Revealed Using Optical Coherence Tomography Angiography Perfused Capillary Density
inferredcites →https://doi.org/10.1016/j.pdpdt.2023.103534openalex-extracted
Image processing and quantification analysis for optical coherence tomography angiography in epiretinal membrane
inferredcites →https://doi.org/10.1016/j.xops.2022.100149openalex-extracted
A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms
inferredcites →https://doi.org/10.1038/s41598-022-07128-0openalex-extracted
The intercapillary space spectrum as a marker of diabetic retinopathy severity on optical coherence tomography angiography
inferredcites →https://doi.org/10.1038/s43856-023-00287-9openalex-extracted
An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography
inferredcites →https://doi.org/10.1097/iae.0000000000002373openalex-extracted
QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY
inferredcites →https://doi.org/10.1109/34.574797openalex-extracted
Feature selection: evaluation, application, and small sample performance
inferredcites →https://doi.org/10.1109/tmi.2022.3214291openalex-extracted
AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography
inferredcites →https://doi.org/10.1117/1.jbo.21.6.066008openalex-extracted
Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography
inferredcites →https://doi.org/10.1167/iovs.15-18904openalex-extracted
Quantifying Microvascular Density and Morphology in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography Angiography
inferredcites →https://doi.org/10.1167/iovs.17-23676openalex-extracted
Distinctive Analysis of Macular Superficial Capillaries and Large Vessels Using Optical Coherence Tomographic Angiography in Healthy and Diabetic Eyes
inferredcites →https://doi.org/10.1167/tvst.10.9.5openalex-extracted
Optical Coherence Tomography Angiography–Derived Flux As a Measure of Physiological Changes in Retinal Capillary Blood Flow
inferredcites →https://doi.org/10.1167/tvst.12.4.3openalex-extracted
Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy
inferredcites →https://doi.org/10.1167/tvst.9.2.35openalex-extracted
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
inferredcites →https://doi.org/10.1177/1535370219850791openalex-extracted
Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography
inferredcites →https://doi.org/10.1177/1535370219899893openalex-extracted
Quantitative optical coherence tomography angiography: A review
inferredcites →https://doi.org/10.1177/15353702231181182openalex-extracted
Deep learning for artery–vein classification in optical coherence tomography angiography
inferredcites →https://doi.org/10.1364/boe.10.002055openalex-extracted
OCT feature analysis guided artery-vein differentiation in OCTA
inferredcites →https://doi.org/10.1364/boe.399514openalex-extracted
AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography
inferredcites →https://doi.org/10.1364/boe.468483openalex-extracted
MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography
inferredcites →https://doi.org/10.1364/boe.481096openalex-extracted
Portable widefield fundus camera with high dynamic range imaging capability
inferredcites →https://doi.org/10.1364/boe.495999openalex-extracted
Optimizing the OCTA layer fusion option for deep learning classification of diabetic retinopathy
inferredcites →https://doi.org/10.1364/boe.8.001741openalex-extracted
Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography
inferredcites →https://doi.org/10.1371/journal.pone.0199793openalex-extracted
Quantitative analysis of optical coherence tomographic angiography (OCT-A) in patients with non-arteritic anterior ischemic optic neuropathy (NAION) corresponds to visual function
inferredcites →https://doi.org/10.1371/journal.pone.0205773openalex-extracted
Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography
inferredcites →https://doi.org/10.21203/rs.3.rs-2387074/v1openalex-extracted
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