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A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities., , , , , , , и . Medical Image Anal., 15 (3): 316-328 (2011)Characterization of myocardial motion patterns by unsupervised multiple kernel learning., , , , , и . Medical Image Anal., (2017)Model generation of coronary artery bifurcations from CTA and single plane angiography, , , , и . Med Phys, 40 (1): e013701 (2013)Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling., , , , , , , , и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 103-112. Springer, (2021)Analyzing Electrical Patterns in an Experimental Swine Model of Dyssynchrony and CRT., , , , , , , и . CinC, стр. 623-626. www.cinc.org, (2013)Conclusions., и . AI and Big Data in Cardiology, Springer International Publishing, (2023)Statistical atlases of cardiac motion and deformation for the characterization of CRT responders.. Pompeu Fabra University, Spain, (2012)Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction., , , , , и . FIMH, том 13958 из Lecture Notes in Computer Science, стр. 678-687. Springer, (2023)Constrained manifold learning for the characterization of pathological deviations from normality., , , и . Medical Image Anal., 16 (8): 1532-1549 (2012)Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography, , , , , , , , , и . Med Image Anal, 16 (2): 427--450 (2012)