Jorge Munilla Fajardo-rekin lankidetzan egindako argitalpenak (10)

2019

  1. Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling

    International Journal of Neural Systems

  2. Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis

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

  3. Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes

    Neurocomputing, Vol. 330, pp. 162-171

  4. Parkinson's disease detection using isosurfaces-based features and convolutional neural networks

    Frontiers in Neuroinformatics, Vol. 13

2018

  1. Procesamiento, análisis y clasificación de neuroimagen con arquitecturas Deep Learning híbridas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. Construction and analysis of weighted brain networks from SICE for the study of Alzheimer’s disease

    Frontiers in Neuroinformatics, Vol. 11

  2. Learning longitudinal MRI patterns by SICE and deep learning: Assessing the Alzheimer’s disease progression

    Communications in Computer and Information Science

2016

  1. Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease

    International Journal of Neural Systems

2015

  1. Automated diagnosis of alzheimer’s disease by integrating genetic biomarkers and tissue density information

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

  2. Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s disease diagnosis

    Frontiers in Computational Neuroscience, Vol. 9, Núm. November, pp. 1-18