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Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound., , , , , , , , , и 9 other автор(ы). Comput. Biol. Medicine, (2020)Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach., , , , , , , , , и 9 other автор(ы). Comput. Biol. Medicine, (2019)UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias., , , , , , , , , и 5 other автор(ы). IEEE Access, (2023)A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework., , , , , , , , , и 12 other автор(ы). J. Digit. Imaging, 34 (3): 581-604 (2021)Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach., , , , , , , , , и 2 other автор(ы). Medical Biol. Eng. Comput., 55 (8): 1415-1434 (2017)Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0., , , , , , , , , и 6 other автор(ы). Medical Biol. Eng. Comput., 57 (7): 1553-1566 (2019)Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach., , , , , , , , , и 1 other автор(ы). Comput. Methods Programs Biomed., (2016)Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm., , , , , , , , , и 1 other автор(ы). J. Medical Syst., 41 (6): 98:1-98:31 (2017)Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application., , , , , , , , , и 6 other автор(ы). Medical Biol. Eng. Comput., 59 (3): 511-533 (2021)Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization., , , , , , , , , и 1 other автор(ы). Comput. Biol. Medicine, (2022)