Publications (34) FRANCISCO JESÚS MARTÍNEZ MURCIA publications

filter_list Electrical and Electronic Engineering

2024

  1. Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration

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

2023

  1. Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

    International Journal of Neural Systems, Vol. 33, Núm. 4

  2. Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

    IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441

2022

  1. Capacity Estimation from Environmental Audio Signals Using Deep Learning

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

  2. Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images

    International Journal of Neural Systems, Vol. 32, Núm. 5

  3. Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging

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

  4. Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

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

  5. Uncertainty-driven ensembles of multi-scale deep architectures for image classification

    Information Fusion, Vol. 89, pp. 53-65

2021

  1. Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

    Neurocomputing, Vol. 452, pp. 424-434

  2. Detecting phase-synchrony connectivity anomalies in eeg signals. Application to dyslexia diagnosis

    Sensors, Vol. 21, Núm. 21

2020

  1. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

    Information Fusion, Vol. 64, pp. 149-187

  2. Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

    International Journal of Neural Systems, Vol. 30, Núm. 7

  3. Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

  4. Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease

    International Journal of Neural Systems, Vol. 30, Núm. 9

  5. Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 1, pp. 17-26

2019

  1. Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis

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

  2. Comparison between affine and non-affine transformations applied to I[123]-FP-CIT SPECT images used for Parkinson’s disease diagnosis

    Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I (Springer Suiza), pp. 379-388

  3. Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study

    Advances in Intelligent Systems and Computing

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

    Neurocomputing, Vol. 330, pp. 162-171

  5. Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder

    Advances in Intelligent Systems and Computing