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Realistic training data improve noninvasive reconstruction of heart-surface potentials., , , и . EMBC, стр. 6373-6376. IEEE, (2012)An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS., , , , и . CinC, стр. 1-4. IEEE, (2020)In-vivo Evaluation of Reduced-Lead-Systems in Noninvasive Reconstruction and Localization of Cardiac Electrical Activity., , , , , , и . CinC, стр. 221-224. www.cinc.org, (2015)Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology., , , , и . Comput. Biol. Medicine, (2021)Comparison of Activation Times Estimation for Potential-Based ECG Imaging., , , , , , , и . CinC, стр. 1-4. IEEE, (2019)Variability of Electrocardiographic Imaging Within and Between Leadsets., , , , , , , , и . CinC, стр. 1-4. IEEE, (2020)Electrocardiographic Imaging of Sinus Rhythm in Pig Hearts Using Bayesian Maximum A Posteriori Estimation., , , , и . CinC, стр. 1-4. IEEE, (2021)Isogeometric-Mechanics-Driven Electrophysiology Simulations of Ventricular Tachycardia., , , , , , и . FIMH, том 13958 из Lecture Notes in Computer Science, стр. 97-106. Springer, (2023)Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography., , , , , и . EMBC, стр. 3781-3784. IEEE, (2013)Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart., , , , , и . Medical Biol. Eng. Comput., 56 (11): 2039-2050 (2018)