FERMÍN SEGOVIA ROMÁN-rekin lankidetzan egindako argitalpenak (32)

2021

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

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

2020

  1. Granger causality-based information fusion applied to electrical measurements from power transformers

    Information Fusion, Vol. 57, pp. 59-70

2018

  1. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares

    Journal of Neuroscience Methods, Vol. 302, pp. 47-57

2017

  1. A semi-supervised learning approach for model selection based on class-hypothesis testing

    Expert Systems with Applications, Vol. 90, pp. 40-49

2014

  1. Identifying endophenotypes of autism: A multivariate approach

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

2013

  1. Automatic orientation of functional brain images for multiplataform software

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

2011

  1. 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

    Information Sciences, Vol. 181, Núm. 4, pp. 903-916

  2. Computer aided diagnosis of Alzheimer's disease using component based SVM

    Applied Soft Computing Journal

  3. Two approaches to selecting set of voxels for the diagnosis of Alzheimer's disease using brain SPECT images

    Digital Signal Processing: A Review Journal, Vol. 21, Núm. 6, pp. 746-755

2010

  1. Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis

    Electronics Letters, Vol. 46, Núm. 8, pp. 556-558

  2. Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees

    Physics in Medicine and Biology, Vol. 55, Núm. 10, pp. 2807-2817

  3. Erratum: Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis (Electronics Letters (2010) 46:8 (556-558))

    Electronics Letters

  4. Exploring symmetry to assist Alzheimer's disease diagnosis

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

  5. Feature selection using factor analysis for Alzheimer's diagnosis using F 18 -FDG PET images

    Medical Physics, Vol. 37, Núm. 11, pp. 6084-6095

  6. Machine learning for very early Alzheimer's Disease diagnosis; A 18F-FDG and PiB PET comparison

    IEEE Nuclear Science Symposium Conference Record

  7. Partial least squares for feature extraction of SPECT images

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

  8. Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease

    Pattern Recognition Letters, Vol. 31, Núm. 11, pp. 1342-1347

2009

  1. Alzheimer's diagnosis using eigenbrains and support vector machines

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

  2. Alzheimer's diagnosis using eigenbrains and support vector machines

    Electronics Letters, Vol. 45, Núm. 7, pp. 342-343

  3. Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines

    Neuroscience Letters, Vol. 461, Núm. 1, pp. 60-64