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References from A Deep Learning Architecture for Vascular Area Measurement in Fundus Images. Local targets link to admitted publications; unresolved targets remain external evidence.
Epidemiology of atherosclerosis and the potential to reduce the global burden of atherothrombotic disease
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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
10.1016/s0140-6736(15)00128-2 · 2015 · External reference
The macrocirculation and microcirculation of hypertension
10.1007/s11906-009-0033-6 · 2009 · External reference
Remodeling of resistance arteries in essential hypertension and effects of antihypertensive treatment
10.1016/j.amjhyper.2004.05.023 · 2004 · External reference
Normal retinal vascular pattern. Arteriovenous ratio as a measure of arterial calibre
10.1136/bjo.50.1.21 · 1966 · External reference
Retinal arteriolar narrowing and risk of diabetes mellitus in middle-aged persons
10.1001/jama.287.19.2528 · 2002 · External reference
Retinal vascular calibre and the risk of coronary heart disease-related death
10.1136/hrt.2006.090522 · 2006 · External reference
Retinal microvascular abnormalities and MRI-defined subclinical cerebral infarction: the Atherosclerosis Risk in Communities Study
10.1161/01.str.0000195134.04355.e5 · 2006 · External reference
Methods for evaluation of retinal microvascular abnormalities associated with hypertension/sclerosis in the Atherosclerosis Risk in Communities Study
10.1016/s0161-6420(99)90525-0 · 1999 · External reference
Validation of automated artificial intelligence segmentation of optical coherence tomography images
10.1371/journal.pone.0220063 · 2019 · External reference
Multiple skip connections of dilated convolution network for semantic segmentation
2018 · External reference
Deep residual learning for image recognition
2016 · External reference
Ridge-based vessel segmentation in color images of the retina
10.1109/tmi.2004.825627 · 2004 · External reference
An ensemble classification-based approach applied to retinal blood vessel segmentation
10.1109/tbme.2012.2205687 · 2012 · External reference
A cross-modality learning approach for vessel segmentation in retinal images
10.1109/tmi.2015.2457891 · 2016 · External reference
FABC: retinal vessel segmentation using AdaBoost
10.1109/titb.2010.2052282 · 2010 · External reference
A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features
10.1109/tmi.2010.2064333 · 2011 · External reference
Multi-level deep supervised networks for retinal vessel segmentation
10.1007/s11548-017-1619-0 · 2017 · External reference
Learning fully-connected CRFs for blood vessel segmentation in retinal images
2014 · External reference
A discriminatively trained fully connected conditional random field model for blood vessel segmentation in fundus images
10.1109/tbme.2016.2535311 · 2017 · External reference
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification
10.1109/tmi.2006.879967 · 2006 · External reference
Retinal vessel extraction using lattice neural networks with dendritic processing
10.1016/j.compbiomed.2014.12.016 · 2015 · External reference
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
10.1016/j.neucom.2014.07.059 · 2015 · External reference
Simultaneous arteriole and venule segmentation with domain-specific loss function on a new public database
10.1364/boe.9.003153 · 2018 · External reference
A three-stage deep learning model for accurate retinal vessel segmentation
10.1109/jbhi.2018.2872813 · 2019 · External reference
An automatic graph-based approach for artery/vein classification in retinal images
10.1109/tip.2013.2263809 · 2014 · External reference
Retinal artery-vein classification via topology estimation
10.1109/tmi.2015.2443117 · 2015 · External reference
Automated characterization of blood vessels as arteries and veins in retinal images
10.1016/j.compmedimag.2013.06.003 · 2013 · External reference
An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image
10.1016/j.cmpb.2017.01.007 · 2017 · External reference
Factors associated with changes in retinal microcirculation after antihypertensive treatment
10.1038/jhh.2013.108 · 2014 · External reference
Computer-assisted methods to evaluate retinal vascular caliber: what are they measuring?
10.1167/iovs.10-5876 · 2011 · External reference
Retinal microvasculature measurements in full-term newborn infants
10.1016/j.mvr.2011.07.011 · 2011 · External reference
Evidence of arteriolar narrowing in low-birth-weight children
10.1161/circulationaha.107.747329 · 2008 · External reference
Retinal vascular caliber measurements: clinical significance, current knowledge and future perspectives
10.1159/000342158 · 2013 · External reference
Evaluation of ophthalmoscopic changes of hypertension and arteriolar sclerosis
10.1001/archopht.1953.00920020122001 · 1953 · External reference
Classification of retinal lesions in the presence of vascular hypertension: report submitted to the American Ophthalmological Society by the committee on Classification of Hypertensive Disease of the Retina
1947 · External reference
General caliber of the retinal arteries expressed as the equivalent width of the central retinal artery
10.1016/0002-9394(74)90457-7 · 1974 · External reference
Retinal arteriolar diameters and elevated blood pressure: the Atherosclerosis Risk in Communities Study
10.1093/oxfordjournals.aje.a009997 · 1999 · External reference
Impact of current and past blood pressure on retinal arteriolar diameter in an older population
10.1097/01.hjh.0000125455.28861.3f · 2004 · External reference
Retinal arteriolar diameter and the prevalence and incidence of hypertension: a systematic review and meta-analysis of their association
10.1007/s11906-012-0252-0 · 2012 · External reference
