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Manifold Learning Characterization of Abnormal Myocardial Motion Patterns: Application to CRT-Induced Changes., , , , , , , и . FIMH, том 7945 из Lecture Notes in Computer Science, стр. 450-457. Springer, (2013)Validation of a Novel Imageless Non-Invasive Electrocardiographic Imaging for the Characterization of Atrial Tachycardias., , , , , , , , , и 4 other автор(ы). CinC, стр. 1-4. IEEE, (2022)MRI-Detected Brain Lesions and Cognitive Function in Patients With Atrial Fibrillation Undergoing Left Atrial Catheter Ablation in the Randomized AXAFA-AFNET 5 Trial, , , , , , , , , и 10 other автор(ы). Circulation, 145 (12): 906-915 (2022)Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained With Patient-Specific Electrophysiological Simulations., , , , , , , и . CinC, стр. 1-4. IEEE, (2019)Fast quasi-conformal regional flattening of the left atrium., , , , , , и . CoRR, (2018)Three-dimensional architecture of scar and conducting channels based on high resolution ce-cmr: insights for ventricular tachycardia ablation, , , , , , , , , и 6 other автор(ы). Circ Arrhythm Electrophysiol, 6 (3): 528--537 (2013)Analysis of ECG in Athletes Running in Mountain Route Conditions., , , , и . CinC, стр. 1-4. www.cinc.org, (2018)Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome?, , , , , , , , , и . STACOM/CESC, том 6364 из Lecture Notes in Computer Science, стр. 65-74. Springer, (2010)Atlas-based quantification of myocardial motion abnormalities: added-value for understanding the effect of cardiac resynchronization therapy, , , , , , , , , и . Ultrasound Med Biol, 38 (12): 2186--2197 (2012)Quantification of local changes in myocardial motion by diffeomorphic registration via currents: Application to paced hypertrophic obstructive cardiomyopathy in 2D echocardiographic sequences., , , , , , , , , и 1 other автор(ы). Medical Image Anal., 19 (1): 203-219 (2015)