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CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images., , , , , , , and . EMBC, page 5149-5152. IEEE, (2011)A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort., , , , , , , , , and . J. Medical Syst., 45 (3): 28 (2021)Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2019)Ovarian tumor characterization and classification: A class of GyneScan™ systems., , , , , and . EMBC, page 4446-4449. IEEE, (2012)Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm., , , , , , , and . Comput. Methods Programs Biomed., (2018)Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework., , , , , , and . Int. J. Imaging Systems and Technology, 25 (3): 256-264 (2015)COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography., , , , , , , , , and 10 other author(s). Frontiers Artif. Intell., (2024)Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort., , , , , , , , , and . J. Medical Syst., 44 (12): 208 (2020)Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach., , , , , , , , , and 2 other author(s). Medical Biol. Eng. Comput., 55 (8): 1415-1434 (2017)Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0., , , , , , , , , and 6 other author(s). Medical Biol. Eng. Comput., 57 (7): 1553-1566 (2019)