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Characterization of typical and atypical atrial flutter loops from the vectorcardiogram., , , , , and . EMBC, page 4976-4979. IEEE, (2011)Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study., , , , , , , and . Comput. Biol. Medicine, (2019)ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation Patients., , , and . CinC, page 1-4. IEEE, (2021)Probabilistic Dominant Frequency Estimation in AF From ECGI., , , , , , , and . CinC, page 1-4. IEEE, (2022)EGM Reconstruction from BSPs in Atrial Fibrillation Using Deep Learning., , , , , , and . CinC, page 1-4. IEEE, (2023)Atrial Fibrillation Driver Localization From Body Surface Potentials Using Deep Learning., , , , , , , and . CinC, page 1-4. IEEE, (2020)Characteristics of inverse-computed epicardial electrograms of Brugada syndrome patients., , , , , , and . EMBC, page 235-238. IEEE, (2011)Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence., , , , , , , , and . CinC, page 1-4. IEEE, (2019)Effects of Geometry in Atrial Fibrillation Markers Obtained With Electrocardiographic Imaging., , , , , , , and . CinC, page 1-4. IEEE, (2019)Evaluation of Inverse Problem with Slow-Conducting Channel in Scar Area in a Post-Infarction Model., , , , , , and . CinC, www.cinc.org, (2017)