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Cyber Heart: The Employment of an Iterative Design Process to Develop a Left Ventricular Heart Graphical Display.

, , , , , and . CW, page 237-244. IEEE Computer Society, (2003)

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A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging., , , , and . Medical Biol. Eng. Comput., 47 (3): 313-322 (2009)Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals., , , , , and . SMC, page 1110-1115. IEEE, (2015)Numerical Investigation of Blood Flow in a Sequential Aorto-Coronary Bypass Graft Model., , , and . EMBC, page 875-878. IEEE, (2006)Automated cardiac vortex ring identification and characterization based on Recurrent All-Pairs Field Transforms and Lagrangian Averaged Vorticity Deviation., , , , , and . Comput. Biol. Medicine, (2024)Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm., , , , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 240-249. Springer, (2017)Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach., , , , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 98-106. (2016)Cyber Heart: The Employment of an Iterative Design Process to Develop a Left Ventricular Heart Graphical Display., , , , , and . CW, page 237-244. IEEE Computer Society, (2003)Smooth muscle current-density distribution: value and estimation from potential data (Proceedings Only)., , , , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads., , , , , , , , , and 2 other author(s). Knowl. Based Syst., (2016)Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture., , , , , , , , , and 1 other author(s). Medical Image Anal., (2018)