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Reduction of Effects of Noise on the Inverse Problem of Electrocardiography With Bayesian Estimation.

, , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)

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Non-Invasive Assessment of Spatiotemporal Organization of Ventricular Fibrillation Through Principal Component Analysis., , , , , , and . CinC, www.cinc.org, (2017)The Heart Recording Conditions Impact the Assessment of the Electrocardiography Imaging Inverse Solution., , , , and . CinC, page 1-4. www.cinc.org, (2018)Atrial Electro-anatomic Mapping with a Novel Noncontact Approach., , , , , , and . CinC, www.cinc.org, (2017)Do we need to enforce the homogeneous Neumann condition on the torso for solving the inverse electrographic problem?, , , , , and . CinC, www.cinc.org, (2016)3D High Resolution Imaging of Human Heart for Visualization of the Cardiac Structure., , , , , , , , , and 1 other author(s). FIMH, volume 11504 of Lecture Notes in Computer Science, page 196-207. Springer, (2019)Impact of Signal Preprocessing on the Inverse Localization of the Origin of Ventricular Pacing., , , , , and . CinC, page 1-4. www.cinc.org, (2018)Basis Function Based Data Driven Learning for the Inverse Problem of Electrocardiography., , , and . CoRR, (2021)Optimization of Organ Conductivity for the Forward Problem of Electrocardiography., , and . CinC, www.cinc.org, (2016)Adaptive placement of the pseudo-boundaries improves the conditioning of the inverse problem., , , , , and . CinC, www.cinc.org, (2016)Analysis of Signal-Averaged Electrocardiogram Performance for Body Surface Recordings., , , , , and . CinC, page 1-4. IEEE, (2019)