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Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels., , , и . Multim. Tools Appl., 78 (10): 12783-12803 (2019)Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning., , , , , , , , , и 6 other автор(ы). ISBI, стр. 1089-1092. IEEE, (2015)Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population., , , , , , , , , и 1 other автор(ы). MIUA, том 1248 из Communications in Computer and Information Science, стр. 400-409. Springer, (2020)Investigating post-processing of scanning laser ophthalmoscope images for unsupervised retinal blood vessel detection., , , , и . CBMS, стр. 441-444. IEEE Computer Society, (2013)Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms., , , , , , и . CoRR, (2019)Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation., , , , , , , , , и 2 other автор(ы). MIUA, том 12722 из Lecture Notes in Computer Science, стр. 238-249. Springer, (2021)Automatic retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE., , , и . EMBC, стр. 142-145. IEEE, (2014)VAMPIRE: Vessel assessment and measurement platform for images of the REtina., , , , , , , , , и 1 other автор(ы). EMBC, стр. 3391-3394. IEEE, (2011)Retinal vessel classification: Sorting arteries and veins., , , и . EMBC, стр. 7396-7399. IEEE, (2013)A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data., , , , и . STACOM@MICCAI, том 11395 из Lecture Notes in Computer Science, стр. 191-199. Springer, (2018)