FERMÍN
SEGOVIA ROMÁN
PROFESOR TITULAR DE UNIVERSIDAD
CARLOS
GARCÍA PUNTONET
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones en las que colabora con CARLOS GARCÍA PUNTONET (32)
2021
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Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
Information Fusion, Vol. 66, pp. 198-212
2020
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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70
2018
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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
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A semi-supervised learning approach for model selection based on class-hypothesis testing
Expert Systems with Applications, Vol. 90, pp. 40-49
2014
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Identifying endophenotypes of autism: A multivariate approach
Frontiers in Computational Neuroscience, Vol. 8, Núm. JUN
2013
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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
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18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis
Information Sciences, Vol. 181, Núm. 4, pp. 903-916
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Computer aided diagnosis of Alzheimer's disease using component based SVM
Applied Soft Computing Journal
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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
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Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis
Electronics Letters, Vol. 46, Núm. 8, pp. 556-558
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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
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Erratum: Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis (Electronics Letters (2010) 46:8 (556-558))
Electronics Letters
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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)
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Feature selection using factor analysis for Alzheimer's diagnosis using F 18 -FDG PET images
Medical Physics, Vol. 37, Núm. 11, pp. 6084-6095
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Machine learning for very early Alzheimer's Disease diagnosis; A 18F-FDG and PiB PET comparison
IEEE Nuclear Science Symposium Conference Record
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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)
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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
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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)
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Alzheimer's diagnosis using eigenbrains and support vector machines
Electronics Letters, Vol. 45, Núm. 7, pp. 342-343
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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