Publicaciones en las que colabora con José Millet Roig (25)

2021

  1. Multiple Cardiac Disease Detection from Minimal-Lead ECG Combining Feedforward Neural Networks with a One-vs-Rest Approach

    2021 COMPUTING IN CARDIOLOGY (CINC)

2020

  1. Classification model based on strain measurements to identify patients with arrhythmogenic cardiomyopathy with left ventricular involvement

    Computer Methods and Programs in Biomedicine, Vol. 188

2019

  1. Left ventricular myocardial dysfunction in arrhythmogenic cardiomyopathy with left ventricular involvement: A door to improving diagnosis

    International Journal of Cardiology, Vol. 274, pp. 237-244

2018

  1. Dyssynchrony Assessment in Arrhythmogenic Cardiomyopathy with Left Ventricular Involvement

    Computing in Cardiology

2017

  1. Bayesian classification applied to strain in arrythmogenic left-ventricle cardiomyopathy

    Computing in Cardiology

2016

  1. Effects of JTV-519 on stretch-induced manifestations of mechanoelectric feedback

    Clinical and Experimental Pharmacology and Physiology, Vol. 43, Núm. 11, pp. 1062-1070

  2. Noninvasive estimation of epicardial dominant high-frequency regions during atrial fibrillation

    Journal of Cardiovascular Electrophysiology, Vol. 27, Núm. 4, pp. 435-442

2014

  1. Accuracy of Inverse Solution Computation of Dominant Frequencies and Phases during Atrial Fibrillation

    2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41

  2. Accuracy of inverse solution computation of dominant frequencies and phases during atrial fibrillation

    Computing in Cardiology

  3. Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units

    Computers in Biology and Medicine, Vol. 44, Núm. 1, pp. 15-26

  4. Body surface localization of left and right atrial high-frequency rotors in atrial fibrillation patients: A clinical-computational study

    Heart Rhythm, Vol. 11, Núm. 9, pp. 1584-1591

  5. Non-invasive Detection of Reentrant Drivers during Atrial Fibrillation: a Clinical-Computational Study

    2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41

  6. Non-invasive detection of reentrant drivers during atrial fibrillation: A clinical-computational study

    Computing in Cardiology

2013

  1. Accuracy of non-invasive frequency estimation during atrial fibrillation

    Computing in Cardiology

  2. Body Surface Potential Propagation Maps During Macroreentrant Atrial Arrhythmias. A Simulation Study

    2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

  3. Body surface potential propagation maps during macroreentrant atrial arrhythmias. A simulation study

    Computing in Cardiology

  4. Non-invasive Location of Re-Entrant Propagation Patterns during Atrial Fibrillation

    2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

  5. Non-invasive location of re-entrant propagation patterns during atrial fibrillation

    Computing in Cardiology

2012

  1. Identification of Fibrillatory Sources by Measuring Causal Relationships

    2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39

  2. Identification of fibrillatory sources by measuring causal relationships

    Computing in Cardiology