Publications in collaboration with researchers from University of Oxford (13)

2024

  1. Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials

    Medical Image Analysis, Vol. 94

2023

  1. Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks

    Scientific Reports, Vol. 13, Núm. 1

2022

  1. An Automata-Based Cardiac Electrophysiology Simulator to Assess Arrhythmia Inducibility

    Mathematics, Vol. 10, Núm. 8

  2. Inference of Number and Location of Purkinje Root Nodes and Ventricular Conduction Properties from Clinical 12-Lead ECGs for Cardiac Digital Twinning

    Computing in Cardiology

  3. Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

    Frontiers in Physiology, Vol. 13

2021

  1. Arrhythmic3D: A fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models

    Computing in Cardiology

  2. Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013

  1. Understanding the mechanisms amenable to CRT response: From pre-operative multimodal image data to patient-specific computational models

    Medical and Biological Engineering and Computing, Vol. 51, Núm. 11, pp. 1235-1250

2012

  1. INTEGRATION OF DIFFERENT CARDIAC ELECTROPHYSIOLOGICAL MODELS INTO A SINGLE SIMULATION PIPELINE

    2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)

  2. Integration of different cardiac electrophysiological models into a single simulation pipeline

    Proceedings - International Symposium on Biomedical Imaging

2011

  1. Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology

    Progress in Biophysics and Molecular Biology, Vol. 107, Núm. 1, pp. 122-133

  2. OpenCMISS: A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project

    Progress in Biophysics and Molecular Biology, Vol. 107, Núm. 1, pp. 32-47

2008

  1. Assessing influence of conductivity in heart modelling with the aim of studying cardiovascular diseases

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE