Alejandro Alcaine

Atrial Fibrillation,Microelectrode Arrays,Atrial Fibrosis,Atrial Tissue,Conduction Velocity,Fibrotic Area,12-lead Electrocardiogram,Ablation Procedure,Ablation Site,Ablation Strategy,Analysis Of Simulated Data,Anisotropy Ratio,Antiarrhythmic Therapy,Arrhythmia,Automatic Delineation,Automatic Detection,Bipolar Voltage,CV Values,Catheter Ablation,Coherent Patterns,Convolution Output,Convolutional Block,Convolutional Layers,Convolutional Neural Network,Data Augmentation,Deep Learning,Depolarization,Detection Of Fibrosis,Detection Performance,Eigenvalues,Electrical Propagation,Electrode Group,Electrophysiological Models,Electrophysiology Simulations,Fibrosis Markers,Fibrotic Tissue,General Parameters,Good Concordance,Hexahedral,Inter-electrode Distance,K-nearest Neighbor,Lead Electrocardiogram,Learning Algorithms,Least Squares Estimation,Linear Model,Linearly Polarized,Long Short-term Memory,Longitudinal Conductivity,Low Voltage,Machine Learning,