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Fidelity by Lia Black6/21/2023 We build a probabilistic classifier that operates directly on the atrial surface. In this work, we propose to use multi-fidelity Gaussian process classification on Riemannian manifolds to efficiently determine the regions in the atria where arrhythmias are inducible. A critical step to assess the effect of an ablation pattern is to pace the model from different, potentially random, locations to determine whether arrhythmias can be induced in the atria. 5Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, ChileĬomputational models of atrial fibrillation have successfully been used to predict optimal ablation sites.4Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.3Department of Mechanical and Metallurgical Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.2Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, United States.1Center for Computational Medicine in Cardiology, Euler Institute, Università della Svizzera italiana, Lugano, Switzerland. Lia Gander 1, Simone Pezzuto 1, Ali Gharaviri 1, Rolf Krause 1, Paris Perdikaris 2 and Francisco Sahli Costabal 3,4,5 *
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