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Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.

, , , , , , , , , , , , and . Comput. Methods Programs Biomed., (2017)

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Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database., , , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79623T. SPIE, (2011)Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population., , , , , , , , , and . EMBC, page 2668-2671. IEEE, (2012)Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems., , , , , , and . EMBC, page 3199-3202. IEEE, (2012)Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine., , , , , , , and . J. Medical Systems, 40 (4): 91:1-91:14 (2016)Reliable Probabilistic Prediction of High-Risk Asymptomatic Carotid Plaques., , , and . EANN Workshops, page 16:1-16:9. ACM, (2015)AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery., , , , , , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 885-894. Springer, (2009)Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation., , , , , , , and . IEEE Trans. Instrum. Meas., 62 (2): 392-400 (2013)Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials., , , , , , , and . Comput. Biol. Medicine, (2017)Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2019)Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm., , , , , , , , , and 3 other author(s). Comput. Biol. Medicine, (2017)