Reference health
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images
65/65 checkable references clean · checked 2026-08-09
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
17 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 65 checked references that resolve
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The retina as a window to the brain—from eye research to CNS disorders
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Differential Associations of Cortical and Subcortical Cerebral Atrophy With Retinal Vascular Signs in Patients With Acute Stroke
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Relationships between retinal arteriole anatomy and aortic geometry and function and peripheral resistance in hypertensives
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Retinal microvascular abnormalities and incident stroke: the Atherosclerosis Risk in Communities Study
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Associations Between Retinal Microvascular Changes and Dementia, Cognitive Functioning, and Brain Imaging Abnormalities: A Systematic Review
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Detection of blood vessels in retinal images using two-dimensional matched filters
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Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification
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Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification
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Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
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Retinal vessel delineation using a brain-inspired wavelet transform and random forest
resolves10.1109/TMI.2010.2064333
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
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Trainable COSFIRE filters for vessel delineation with application to retinal images
resolves10.1007/s00138-016-0781-7
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters
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Deep vessel tracking: A generalized probabilistic approach via deep learning
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A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction
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Vessel extraction from non-fluorescein fundus images using orientation-aware detector
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Retinal vessel extraction by matched filter with first-order derivative of Gaussian
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Retinal vessel segmentation using a probabilistic tracking method
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General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
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An Active Contour Model for Segmenting and Measuring Retinal Vessels
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Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images
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Saliency driven vasculature segmentation with infinite perimeter active contour model
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An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation
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A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
resolves10.1109/TMI.2015.2457891
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
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A new supervised retinal vessel segmentation method based on robust hybrid features
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Segmentation of optic disc and blood vessels in retinal images using wavelets, mathematical morphology and Hessian-based multi-scale filtering
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The “independent components” of natural scenes are edge filters
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Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
resolves10.1109/TMI.2006.879955
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
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Segmentation of blood vessels from red-free and fluorescein retinal images
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Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
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A multi-scale tensor voting approach for small retinal vessel segmentation in high resolution fundus images
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Dictionary Learning for Fast Classification Based on Soft-thresholding
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A Successive Clutter-Rejection-Based Approach for Early Detection of Diabetic Retinopathy
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Automatic identification of epileptic seizures from EEG signals using linear programming boosting
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Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
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Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating
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Computer-aided obstructive sleep apnea detection using normal inverse Gaussian parameters and adaptive boosting
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Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating
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Automatic sleep scoring using statistical features in the EMD domain and ensemble methods
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An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
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M-net: A Convolutional Neural Network for deep brain structure segmentation
The 17 references without a DOI — listed, not checked
no DOI — not checkedDeepVessel: retinal vessel segmentation via deep learning and conditional random field
no DOI — not checkedComparative study of retinal vessel segmentation methods on a new publicly available database
no DOI — not checkedBlood vessel segmentation of fundus images by major vessel extraction and subimage classification
no DOI — not checkedDeep retinal image understanding
no DOI — not checkedEfficient sparse coding algorithms
no DOI — not checkedM. Ranzato, On Learning Where to Look, arXiv preprint:1405.5488.
no DOI — not checkedAn analysis of single-layer networks in unsupervised feature learning
no DOI — not checkedB. Cheung, E. Weiss, B.A. Olshausen, Emergence of Foveal Image Sampling from Learning to Attend in Visual Scenes, CoRR abs/1611.09430.
no DOI — not checkedLearning to combine foveal glimpses with a third-order Boltzmann machine
no DOI — not checkedEfficient learning of sparse representations with an energy-based model
no DOI — not checkedSparse feature learning for deep belief networks
no DOI — not checkedLearning fast approximations of sparse coding
no DOI — not checked10.1016/j.bspc.2018.04.016_bib0275
no DOI — not checked10.1016/j.bspc.2018.04.016_bib0285
no DOI — not checked10.1016/j.bspc.2018.04.016_bib0290
no DOI — not checkedAccelerating t-SNE using tree-based algorithms
no DOI — not checkedEpilepsy and seizure detection using statistical features in the complete ensemble empirical mode decomposition domain
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