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Multi-modal data fusion for Cardiac Resynchronization Therapy planning and assistance., , , , , , , and . EMBC, page 2391-2394. IEEE, (2015)Dynamic Registration of Multiple-view US and MRI for the Characterization of Hypertrophic Cardiomyopathy., , , , , , and . CinC, page 237-240. www.cinc.org, (2013)Synchronization and Registration of Cine Magnetic Resonance and Dynamic Computed Tomography Images of the Heart., , , , , and . IEEE J. Biomed. Health Informatics, 20 (5): 1369-1376 (2016)Detection of Fibrosis in LGE-Cardiac MRI using Kernel DL-based Clustering., , , , , , and . CinC, page 357-360. www.cinc.org, (2015)Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT., , , , , , , , , and . IEEE Trans. Medical Imaging, 37 (8): 1835-1846 (2018)Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets., , , , , , , , , and 14 other author(s). IEEE Trans. Medical Imaging, 34 (7): 1460-1473 (2015)Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins., , and . STACOM, volume 8330 of Lecture Notes in Computer Science, page 24-30. Springer, (2013)Multimodal image registration for the characterization of the hypertrophic cardiomyopathy and the cardiac asynchronism. (Intégration d'images multimodales pour la caractérisation de cardiomyopathies hypertrophiques et d'asynchronismes cardiaques).. University of Rennes 1, France, (2014)