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Feasibility of quantitative analysis of regional left ventricular function in the post-infarct mouse by magnetic resonance imaging with retrospective gating., , , , , , and . Comput. Biol. Medicine, 41 (9): 829-837 (2011)Computerized quantification of left ventricular volumes on cardiac magnetic resonance images by level set method., , , , , , , , and . CARS, volume 1268 of International Congress Series, page 1114-1119. Elsevier, (2004)Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring., , , , and . Comput. Methods Programs Biomed., (2022)Beat-to-beat heart rate detection by smartphone's accelerometers: Validation with ECG., , , , , , and . EMBC, page 525-528. IEEE, (2016)Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images., , , and . CinC, page 13-16. www.cinc.org, (2015)Aortic Flow and Morphology Adaptation to Deconditioning after 21-Days of Head-Down Bed-Rest Assessed by Phase Contrast MRI., , , , , , , , and . CinC, www.cinc.org, (2016)Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test., , , and . CBMS, page 552-553. IEEE Computer Society, (2013)3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method., , , , , , , , , and 2 other author(s). Biomed. Signal Process. Control., (2020)A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images., , , , , , , , , and . Comput. Biol. Medicine, (2018)Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images., , , , , , , , , and . CinC, page 105-108. www.cinc.org, (2015)