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Highest Dominant Frequency and Rotor Sites are Robust Markers for Atrial Driver Location in Non-invasive Mapping of Atrial Fibrillation.

, , , , , , and . CinC, www.cinc.org, (2016)

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Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation., , , , , , , , , and . Biomed. Signal Process. Control., (2021)Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation., , , , , , , , , and . CinC, www.cinc.org, (2016)Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation., , , , , , , and . CinC, www.cinc.org, (2016)Dual Extruder 3D-Bioprinter for Computer Designed Cardiac Structures., , , , , , , , and . CinC, www.cinc.org, (2017)Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality., , , , , , , , and . IEEE Trans. Medical Imaging, 37 (3): 733-740 (2018)High Resolution Microscopic Optical Mapping of Anatomical and Functional Reentries in Human Cardiac Cell Cultures., , , , , , and . CinC, www.cinc.org, (2016)Mechanism behind Hyperkalemic Brugada Phenocopy: A Computational Study., , , , , , , and . CinC, www.cinc.org, (2016)Non-invasive Detection of Reentrant Drivers during Atrial Fibrillation: a Clinical-Computational Study., , , , , , , , and . CinC, page 9-12. www.cinc.org, (2014)In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach., , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Personalization of Atrial Fibrillation Antiarrhythmic Drug Treatments: a Population of Models Approach., , , , , , , , and . CinC, www.cinc.org, (2017)