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Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes., , , , , , , and . FIMH, volume 7945 of Lecture Notes in Computer Science, page 450-457. Springer, (2013)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)Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography., , , , , , , , , and . Medical Image Analysis, 16 (2): 427-450 (2012)A Multicentric Study of Long-term Rhythm Patterns in Heart Rate., , , , , , , , , and 5 other author(s). CinC, www.cinc.org, (2016)Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images., , , , , , , , , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 1-8. Springer, (2010)ECG assessment based on neural networks with pretraining., , , , and . Appl. Soft Comput., (2016)Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences., , , , , , , , , and 1 other author(s). Medical Image Analysis, 19 (1): 203-219 (2015)Assessment of Electrocardiograms with Pretraining and Shallow Networks., , , , and . CinC, page 1061-1064. www.cinc.org, (2014)Robust detection of ECG waves., , , , and . CinC, page 569-572. www.cinc.org, (2015)Characteristics of inverse-computed epicardial electrograms of Brugada syndrome patients., , , , , , and . EMBC, page 235-238. IEEE, (2011)