Publications (19) FRANCISCO JESÚS MARTÍNEZ MURCIA publications

filter_list Computer Vision and Pattern Recognition

2022

  1. 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. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

2020

  1. 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

  2. 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. Assisted diagnosis of parkinsonism based on the striatal morphology

    International Journal of Neural Systems, Vol. 29, Núm. 9

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

    Advances in Intelligent Systems and Computing

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

    International Journal of Neural Systems

  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

2018

  1. A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease

    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

  2. Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

    International Journal of Neural Systems, Vol. 28, Núm. 10

  3. Discriminative sparse features for alzheimer’s disease diagnosis using multimodal image data

    Current Alzheimer Research, Vol. 15, Núm. 1, pp. 67-79

  4. Segmentation of Molecular Neuroimages Using Hidden Markov Random Fields in Order to Improve the Assisted Diagnosis of Neurodegenerative Diseases

    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

2017

  1. Case-based statistical learning: A non parametric implementation applied to SPECT images

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

2016

  1. Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features

    Smart Innovation, Systems and Technologies

  2. Ensemble tree learning techniques for magnetic resonance image analysis

    Smart Innovation, Systems and Technologies

  3. MRI brain segmentation using hidden Markov random fields with alpha-stable distributions

    2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

2015

  1. Building a FP-CIT SPECT Brain Template Using a Posterization Approach

    Neuroinformatics, Vol. 13, Núm. 4, pp. 391-402