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A Novel Computerized Tool to Stratify Risk in Carotid Atherosclerosis Using Kinematic Features of the Arterial Wall.

, , , , , and . IEEE J. Biomed. Health Informatics, 19 (3): 1137-1145 (2015)

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Other publications of authors with the same name

A Modular Software System to Assist Interpretation of Medical Images - Application to Vascular Ultrasound Images., , and . IEEE Trans. Instrum. Meas., 55 (6): 1944-1952 (2006)Carotid Artery Motion Estimation From Sequences of B-Mode Ultrasound Images: Effect of Scanner Settings and Image Normalization., , , , , , and . IEEE Trans. Instrum. Meas., 58 (7): 2102-2112 (2009)Comparison of Multiresolution Features for Texture Classification of Carotid Atherosclerosis From B-Mode Ultrasound., , , , , and . IEEE Trans. Inf. Technol. Biomed., 15 (1): 130-137 (2011)On the use of block matching for the estimation of arterial wall motion., , and . BIBE, page 1-5. IEEE, (2008)AI in Medical Imaging Informatics: Current Challenges and Future Directions., , , , , , , , , and 6 other author(s). IEEE J. Biomed. Health Informatics, 24 (7): 1837-1857 (2020)Multiscale motion analysis of the carotid artery wall from B-mode ultrasound: Investigating the optimal wavelet parameterization., , , and . BIBE, page 1-4. IEEE Computer Society, (2013)Automated detection of the carotid artery wall in longitudinal B-mode images using active contours initialized by the Hough transform., , , and . EMBC, page 571-574. IEEE, (2011)Using ultrasound image analysis to evaluate the role of elastography imaging in the diagnosis of carotid atherosclerosis., , , , , , , , , and . EMBC, page 6313-6316. IEEE, (2015)Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images., , , , , and . CoRR, (2022)Characterization of carotid atherosclerotic plaques using frequency-based texture analysis and bootstrap., , , and . EMBC, page 2392-2395. IEEE, (2006)