Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Valencia (61)

2022

  1. Combined atrial fibrillation ablation and balloon mitral commissurotomy in patients with rheumatic mitral stenosis

    Journal of Cardiovascular Electrophysiology, Vol. 33, Núm. 12, pp. 2485-2495

2021

  1. Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: An in silico Population of Models Approach

    Frontiers in Physiology, Vol. 12

  2. Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation

    American Journal of Physiology - Heart and Circulatory Physiology, Vol. 320, Núm. 4, pp. H1337-H1347

  3. Optimized single-point left ventricular pacing leads to improved resynchronization compared with multipoint pacing

    PACE - Pacing and Clinical Electrophysiology, Vol. 44, Núm. 3, pp. 519-527

  4. Personalized evaluation of atrial complexity of patients undergoing atrial fibrillation ablation: A clinical computational study

    Biology, Vol. 10, Núm. 9

  5. The Essential Need for a Validated Potency Assay for Cell-Based Therapies in Cardiac Regenerative and Reparative Medicine. A Practical Approach to Test Development

    Stem Cell Reviews and Reports, Vol. 17, Núm. 6, pp. 2235-2244

2020

  1. Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation: Quality EGM Assessment for Reentry Identification

    Computers in Biology and Medicine, Vol. 117

  2. Electrophysiological effects of extracellular vesicles secreted by cardiosphere-derived cells: Unraveling the antiarrhythmic properties of cell therapies

    Processes, Vol. 8, Núm. 8

  3. Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation With Contact Mapping and Impact of Ablation

    Circulation. Arrhythmia and electrophysiology, Vol. 13, Núm. 3, pp. e007700

  4. Ranolazine-mediated attenuation of mechanoelectric feedback in atrial myocyte monolayers

    Frontiers in Physiology, Vol. 11

2019

  1. Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation

    Computing in Cardiology

  2. Clinical Characteristics and Electrophysiological Mechanisms Underlying Brugada ECG in Patients With Severe Hyperkalemia

    Journal of the American Heart Association, Vol. 8, Núm. 3, pp. e010115

  3. Effects of Geometry in Atrial Fibrillation Markers Obtained with Electrocardiographic Imaging

    Computing in Cardiology

  4. Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics

    Computing in Cardiology

  5. Optical imaging of voltage and calcium in isolated hearts: Linking spatiotemporal heterogeneities and ventricular fibrillation initiation

    PLoS ONE, Vol. 14, Núm. 5

  6. Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study

    Computers in Biology and Medicine, Vol. 104, pp. 319-328

  7. Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence

    Computing in Cardiology

2018

  1. In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach

    Computing in Cardiology

  2. Safety and efficacy of cryoablation vs. radiofrequency ablation of septal accessory pathways: Systematic review of the literature andmeta-analyses

    Europace, Vol. 20, Núm. 8, pp. 1334-1342

  3. Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality

    IEEE Transactions on Medical Imaging, Vol. 37, Núm. 3, pp. 733-740