Publicaciones en colaboración con investigadores/as de Florida State University (29)

2019

  1. Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets

    Advances in Intelligent Systems and Computing

2018

  1. 3D gabor filters for chest segmentation in DCE-MRI

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

  2. Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

    Contrast Media and Molecular Imaging, Vol. 2018

  3. Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

    Proceedings of SPIE - The International Society for Optical Engineering

  4. Reproducible evaluation of registration algorithms for movement correction in dynamic contrast enhancing magnetic resonance imaging for breast cancer diagnosis

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

2017

  1. A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease

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

  2. A heavy tailed expectation maximization hidden markov random field model with applications to segmentation of MRI

    Frontiers in Neuroinformatics, Vol. 11

  3. Automatic separation of parkinsonian patients and control subjects based on the striatal morphology

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

  4. Case-Based Statistical Learning: A Non-Parametric Implementation with a Conditional-Error Rate SVM

    IEEE Access, Vol. 5, pp. 11468-11478

  5. 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)

  6. Dynamical graph theory networks methods for the analysis of sparse functional connectivity networks and for determining pinning observability in brain networks

    Frontiers in Computational Neuroscience, Vol. 11

  7. Evaluating Alzheimer’s disease diagnosis using texture analysis

    Communications in Computer and Information Science

  8. Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases

    Frontiers in Neuroinformatics, Vol. 11

  9. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support

    International Journal of Neural Systems, Vol. 27, Núm. 3

  10. On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database

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

  11. Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes

    Communications in Computer and Information Science

2016

  1. 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

2014

  1. Advanced computer vision approaches in biomedical image analysis

    Computational and Mathematical Methods in Medicine

  2. Spatial component analysis of MRI data for Alzheimer’s disease diagnosis: A Bayesian network approach

    Frontiers in Computational Neuroscience, Vol. 8, Núm. NOV

2005

  1. Cost-effective Hogenauer cascaded integrator comb decimator filter design for custom ICs

    Electronics Letters, Vol. 41, Núm. 3, pp. 158-160