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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)Time- And Frequency-Based Independent Evaluation Of QRST Cancellation Techniques For Single-Lead Electrocardiograms During Atrial Fibrillation., , , and . ANNSIM, page 294-304. IEEE, (2022)Non-invasive Detection of Reentrant Drivers during Atrial Fibrillation: a Clinical-Computational Study., , , , , , , , and . CinC, page 9-12. www.cinc.org, (2014)Rotors Drift Toward and Stabilize in Low Power Regions in Heterogeneous Models of Atrial Fibrillation., , and . CinC, page 1-4. IEEE, (2022)Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation., , , , , , , and . CinC, www.cinc.org, (2016)Effect of Multi-Electrode Configurations on Accuracy of Rotor Detection in the Atria., , , , , and . CinC, www.cinc.org, (2016)Are Multi-electrode Arrays Able to Differentiate Anatomical from Functional Reentries in an Excitable Sheet?, , , and . CinC, page 865-868. www.cinc.org, (2015)Accurate Characterization of Rotor Activity during Atrial Fibrillation Depends on the Properties of the Multielectrode Grid., , , , , , and . CinC, page 757-760. www.cinc.org, (2014)Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI., , , , , , and . Comput. Methods Programs Biomed., 113 (2): 483-493 (2014)Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities - A computational study., , , and . Comput. Biol. Medicine, (2019)