Josefa Gonzalez Carrillo-rekin lankidetzan egindako argitalpenak (9)

2024

  1. Expanding the deep-learning model to diagnosis LVNC: limitations and trade-offs

    Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Vol. 12, Núm. 1

2023

  1. Improving a Deep Learning Model to Accurately Diagnose LVNC

    Journal of Clinical Medicine, Vol. 12, Núm. 24

2022

  1. Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach

    Computer Methods and Programs in Biomedicine, Vol. 214

2021

  1. Deploying deep learning approaches to left ventricular non-compaction measurement

    Journal of Supercomputing, Vol. 77, Núm. 9, pp. 10138-10151

  2. Towards an enhanced tool for quantifying the degree of LV hyper-trabeculation

    Journal of Clinical Medicine, Vol. 10, Núm. 3, pp. 1-13

2019

  1. A self-optimized software tool for quantifying the degree of left ventricle hyper-trabeculation

    Journal of Supercomputing, Vol. 75, Núm. 3, pp. 1625-1640

2017

  1. Performance of a New Software Tool for Automatic Quantification of Left Ventricular Trabeculations

    Revista Espanola de Cardiologia, Vol. 70, Núm. 5, pp. 405-407

2016

  1. A training engine for automatic quantification of left ventricular trabeculation from cardiac MRI

    Procedia Computer Science

2015

  1. A software tool for the automatic quantification of the left ventricle myocardium hyper-trabeculation degree

    Procedia Computer Science