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Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials.

, , , , , and . CinC, page 369-372. www.cinc.org, (2013)

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Variability of Electrocardiographic Imaging Within and Between Leadsets., , , , , , , , and . CinC, page 1-4. IEEE, (2020)Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography., , , , , and . EMBC, page 3781-3784. IEEE, (2013)Myokit: A Framework for Computational Cellular Electrophysiology., , and . CinC, page 229-232. www.cinc.org, (2014)Realistic training data improve noninvasive reconstruction of heart-surface potentials., , , and . EMBC, page 6373-6376. IEEE, (2012)An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS., , , , and . CinC, page 1-4. IEEE, (2020)In-vivo Evaluation of Reduced-Lead-Systems in Noninvasive Reconstruction and Localization of Cardiac Electrical Activity., , , , , , and . CinC, page 221-224. www.cinc.org, (2015)Applying Novel Identification Protocols to Markov Models of INa., , and . CinC, page 889-892. www.cinc.org, (2015)Determinants of Beat-to-Beat Variability of Repolarization Duration in the Canine Ventricular Myocyte: A Computational Analysis., , , , , , and . PLoS Comput. Biol., (2013)Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials., , , , , and . CinC, page 369-372. www.cinc.org, (2013)Dynamics of Ventricular Electrophysiology Are Unmasked Through Noninvasive Electrocardiographic Imaging., , , , , and . CinC, page 1-4. IEEE, (2021)