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Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences.

, , , , , , , , , , and . Medical Image Analysis, 19 (1): 203-219 (2015)

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Characterization of myocardial motion patterns by unsupervised multiple kernel learning., , , , , and . Medical Image Analysis, (2017)A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities., , , , , , , and . Medical Image Analysis, 15 (3): 316-328 (2011)Analyzing Electrical Patterns in an Experimental Swine Model of Dyssynchrony and CRT., , , , , , , and . CinC, page 623-626. www.cinc.org, (2013)Segmentation and Registration Coupling from Short-Axis Cine MRI: Application to Infarct Diagnosis., , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 48-56. Springer, (2016)3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation., , , and . CoRR, (2018)Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge., , , , , , , , , and 26 other author(s). IEEE J. Biomedical and Health Informatics, 22 (2): 503-515 (2018)Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling., , , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 103-112. Springer, (2021)Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?, , , , , and . STIA, volume 7570 of Lecture Notes in Computer Science, page 25-37. Springer, (2012)Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome?, , , , , , , , , and . STACOM/CESC, volume 6364 of Lecture Notes in Computer Science, page 65-74. Springer, (2010)Constrained manifold learning for the characterization of pathological deviations from normality., , , and . Medical Image Analysis, 16 (8): 1532-1549 (2012)