Diego Salas González

Universidad de Granada

Publicaciones

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

Information Fusion

2020
journal-article

10.1016/j.inffus.2020.01.001

Expectation–Maximization algorithm for finite mixture of α-stable distributions

Neurocomputing

2020
journal-article

10.1016/j.neucom.2020.06.114

Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease

Neurocomputing

2020
journal-article

10.1016/j.neucom.2020.06.081

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

2019
other

10.1007/978-3-030-19591-5_39

Parkinson’s disease detection using isosurfaces-based features and convolutional neural networks

Frontiers in Neuroinformatics

2019
journal-article

10.3389/fninf.2019.00048

Support Vector Machine Failure in Imbalanced Datasets

Understanding the Brain Function and Emotions

2019
other

10.1007/978-3-030-19591-5_42

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

2018
conference-paper

10.1109/NSSMIC.2018.8824320

Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism

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

2018
conference-paper

10.1109/NSSMIC.2018.8824707

Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging

Journal of Alzheimer's Disease

2018
journal-article

10.3233/JAD-170403

Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism

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

2018
conference-paper

10.1109/NSSMIC.2018.8824408

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

2018
journal-article

10.1016/j.jneumeth.2017.12.005

FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines

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

2018
conference-paper

10.1109/NSSMIC.2018.8824575

Improved separation of Alzheimer’s disease and related disorders using dual-point amyloid-PET

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

2018
conference-paper

10.1109/NSSMIC.2018.8824703

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson’s Disease

Frontiers in Neuroinformatics

2018
journal-article

10.3389/fninf.2018.00053

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

2018
conference-paper

10.1109/NSSMIC.2018.8824521

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

Frontiers in Neuroinformatics

2017
journal-article

10.3389/fninf.2017.00066

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

Expert Systems With Applications

2017
journal-article

10.1016/j.eswa.2017.08.006

Analysis of ¹⁸F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

2017
conference-paper

10.1117/12.2250281

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

Natural and Artificial Computation for Biomedicine and Neuroscience, Pt I

2017
book-chapter

10.1007/978-3-319-59740-9_34

Case-based statistical learning applied to SPECT image classification

SPIE Medical Imaging 2017

2017
conference-paper

10.1117/12.2253853

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

Natural and Artificial Computation for Biomedicine and Neuroscience

2017
conference-paper

10.1007/978-3-319-59740-9_30

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

Ieee Access

2017
journal-article

10.1109/ACCESS.2017.2714579

Evaluating Alzheimer’s disease diagnosis using texture analysis

Medical Image Understanding and Analysis

2017
conference-paper

10.1007/978-3-319-60964-5_41

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

Frontiers in Neuroinformatics

2017
journal-article

10.3389/fninf.2017.00065

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

Natural and Artificial Computation for Biomedicine and Neuroscience, Pt I

2017
book-chapter

10.1007/978-3-319-59740-9_29

On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy

Physics in Medicine and Biology

2017
journal-article

10.1088/1361-6560/aa8944

Preprocessing of ¹⁸F-DMFP-PET data based on Hidden Markov random fields and the Gaussian distribution

Frontiers in aging neuroscience

2017
journal-article

10.3389/fnagi.2017.00326

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

Medical Image Understanding and Analysis

2017
conference-paper

10.1007/978-3-319-60964-5_40

A comparison among several methods for building templates in functional brain imaging

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

2016
conference-paper

10.1109/NSSMIC.2015.7582228

An optimal approach for selecting discriminant regions for the diagnosis of alzheimer’s disease

Current Alzheimer Research

2016
journal-article

Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study

Current Alzheimer Research

2016
journal-article

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)

2016
conference-paper

10.1109/MMSP.2016.7813393

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
conference-paper

10.1109/NSSMIC.2016.8069422

Multiclass classification of ¹⁸F-DMFP-PET data to assist the diagnosis of parkinsonism

PRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging

2016
conference-paper

10.1109/PRNI.2016.7552342

PETRA: A web-based system supporting computer aided diagnosis of Alzheimer’s disease

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

2016
conference-paper

10.1109/nssmic.2016.8069433

Simulating functional brain images in Alzheimer’s disease

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

2016
conference-paper

10.1109/nssmic.2016.8069420

Statistical feature selection and classification models for Alzheimer’s disease progression assessment

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

2016
conference-paper

10.1109/nssmic.2016.8069560

A posterization strategy for the registration of [123I]FP-CIT SPECT brain images

VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings

2015
conference-paper

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

Neuroinformatics

2015
journal-article

10.1007/s12021-015-9262-9

Comparison between different intensity normalization methods in ¹²³I-Ioflupane imaging for the automatic detection of Parkinsonism

PLoS ONE

2015
journal-article

10.1371/journal.pone.0135107

Erratum: Comparison between different intensity normalization methods in 123iioflupane imaging for the automatic detection of Parkinsonism (PLoS ONE 10:6 (e0130274) doi 10.1371/journal.pone.0130274)

PLoS ONE

2015
journal-article

10.1371/journal.pone.0130274

Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches

Neurocomputing

2015
journal-article

10.1016/j.neucom.2014.01.080

A simplified QRS decision stage based on the DFT coefficients

European Signal Processing Conference

2014
conference-paper

Affine registration of [123I]FP-CIT SPECT brain images

Studies in Health Technology and Informatics

2014
conference-paper

10.3233/978-1-61499-474-9-65

Affine registration of 123I FP-CIT SPECT brain images

Studies in health technology and informatics

2014
journal-article

Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering

Information Sciences

2014
journal-article

10.1016/j.ins.2013.10.002

Projecting MRI brain images for the detection of Alzheimer’s Disease

Studies in Health Technology and Informatics

2014
conference-paper

10.3233/978-1-61499-474-9-225

Projecting MRI brain images for the detection of Alzheimer’s Disease

Studies in health technology and informatics

2014
journal-article

Statistical significance in the selection of the regions of interest for Parkinson brain image processing

Studies in Health Technology and Informatics

2014
conference-paper

10.3233/978-1-61499-474-9-19

Statistical significance in the selection of the regions of interest for Parkinson brain image processing

Studies in health technology and informatics

2014
journal-article

Why using the alpha-stable distribution in neuroimage?

SIGMAP 2014 - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

2014
conference-paper

Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features

Information Sciences

2013
journal-article

10.1016/j.ins.2009.05.012

Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine

Expert Systems with Applications

2013
journal-article

10.1016/j.eswa.2012.07.071

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization

Neurocomputing

2013
journal-article

10.1016/j.neucom.2012.08.047

Improving the convergence rate in affine registration of PET and SPECT brain images using histogram equalization

Computational and Mathematical Methods in Medicine

2013
journal-article

10.1155/2013/760903

Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution

NeuroImage

2013
journal-article

10.1016/j.neuroimage.2012.10.005

Parameterization of the distribution of white and grey matter in MRI using the α-stable distribution

Computers in Biology and Medicine

2013
journal-article

10.1016/j.compbiomed.2013.01.003

Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors

Computational and Mathematical Methods in Medicine

2013
journal-article

10.1155/2013/638563

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies

Applied Soft Computing Journal

2013
journal-article

10.1016/j.asoc.2012.11.020

A comparative study of feature extraction methods for the diagnosis of Alzheimer’s disease using the ADNI database

Neurocomputing

2012
journal-article

10.1016/j.neucom.2011.03.050

Bilateral symmetry aspects in computer-aided Alzheimer’s disease diagnosis by single-photon emission-computed tomography imaging

Artificial Intelligence in Medicine

2012
journal-article

10.1016/j.artmed.2012.09.005

Computer Aided Diagnosis tool for Alzheimer’s Disease based on Mann-Whitney-Wilcoxon U-Test

Expert Systems with Applications

2012
journal-article

10.1016/j.eswa.2012.02.153

FDG and PIB biomarker PET analysis for the Alzheimer’s disease detection using Association Rules

IEEE Nuclear Science Symposium Conference Record

2012
conference-paper

10.1109/NSSMIC.2012.6551589

Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

2012
conference-paper

10.1109/NSSMIC.2012.6551904

NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer’s disease

IEEE Transactions on Medical Imaging

2012
journal-article

10.1109/TMI.2011.2167628

¹⁸F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis

Information Sciences

2011
journal-article

10.1016/j.ins.2010.10.027

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer’s Diseasea

New Challenges on Bioinspired Applications: 4th International Work-Conference on the Interplay between Natural and Artificial Computation, Iwinac 2011, Part Ii

2011
book-chapter

Bayesian Segmentation of Magnetic Resonance Images Using the alpha-Stable Distribution

Hybrid Artificial Intelligent Systems, Part I

2011
book-chapter

Computer aided diagnosis of Alzheimer’s disease using component based SVM

Applied Soft Computing Journal

2011
journal-article

10.1016/j.asoc.2010.08.019

Distance Metric Learning as Feature Reduction Technique for the Alzheimer’s Disease Diagnosis

New Challenges on Bioinspired Applications: 4th International Work-Conference on the Interplay between Natural and Artificial Computation, Iwinac 2011, Part Ii

2011
book-chapter

Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning

Hybrid Artificial Intelligent Systems, Part I

2011
book-chapter

Effective diagnosis of Alzheimer’s disease by means of distance metric learning

Hybrid Artificial Intelligent Systems

2011
other

10.1007/978-3-642-21219-2_20

Efficient mining of association rules for the early diagnosis of Alzheimer’s disease

Physics in Medicine and Biology

2011
journal-article

10.1088/0031-9155/56/18/017

GMM based SPECT image classification for the diagnosis of Alzheimer’s disease

Applied Soft Computing Journal

2011
journal-article

10.1016/j.asoc.2010.08.012

MR brain image segmentation by growing hierarchical SOM and probability clustering

Electronics Letters

2011
journal-article

10.1049/el.2011.0322

MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method

New Challenges on Bioinspired Applications: 4th International Work-Conference on the Interplay between Natural and Artificial Computation, Iwinac 2011, Part Ii

2011
book-chapter

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer’s disease

Neurocomputing

2011
journal-article

10.1016/j.neucom.2010.06.025

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

Digital Signal Processing: A Review Journal

2011
journal-article

10.1016/j.dsp.2011.01.006

Alzheimer’s disease detection in functional images using 2D Gabor wavelet analysis

Electronics Letters

2010
journal-article

10.1049/el.2010.0219

Analysis of SPECT brain images for the diagnosis of Alzheimer’s disease based on NMF for feature extraction

Neuroscience Letters

2010
journal-article

10.1016/j.neulet.2010.05.047

Classification of functional brain images using a GMM-based multi-variate approach

Neuroscience Letters

2010
journal-article

10.1016/j.neulet.2010.03.010

Computer aided diagnosis system for the Alzheimer’s disease based on partial least squares and random forest SPECT image classification

Neuroscience Letters

2010
journal-article

10.1016/j.neulet.2010.01.056

Computer-aided diagnosis of Alzheimer’s disease using support vector machines and classification trees

Physics in Medicine and Biology

2010
journal-article

10.1088/0031-9155/55/10/002

Early Alzheimer’s disease diagnosis using partial least squares and random forests

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

2010
conference-paper

10.1109/ISBI.2010.5490408

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

Electronics Letters

2010
journal-article

10.1049/el.2010.9081

Feature selection using factor analysis for Alzheimer’s diagnosis using F 18 -FDG PET images

Medical Physics

2010
journal-article

10.1118/1.3488894

Improving the convergence rate in affine registration of PET brain images using histogram matching

IEEE Nuclear Science Symposium Conference Record

2010
conference-paper

10.1109/NSSMIC.2010.5874481

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

IEEE Nuclear Science Symposium Conference Record

2010
conference-paper

10.1109/NSSMIC.2010.5874201

Modelling with mixture of symmetric stable distributions using Gibbs sampling

2010
journal-article

10.1016/j.sigpro.2009.07.003

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer’s disease

Pattern Recognition Letters

2010
journal-article

10.1016/j.patrec.2010.03.004

A heavy-tailed empirical Bayes method for replicated microarray data

2009
journal-article

10.1016/j.csda.2008.08.008

Alzheimer’s diagnosis using eigenbrains and support vector machines

Electronics Letters

2009
journal-article

10.1049/el.2009.3415

Analysis of brain SPECT images for the diagnosis of alzheimer disease using first and second order moments

Bioinspired Applications in Artificial and Natural Computation

2009
other

10.1007/978-3-642-02267-8_14

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

Neuroscience Letters

2009
journal-article

10.1016/j.neulet.2009.05.056

Automatic selection of ROIs in functional imaging using Gaussian mixture models

Neuroscience Letters

2009
journal-article

10.1016/j.neulet.2009.05.039

Automatic selection of ROIs using a model-based clustering approach

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5401704

Automatic system for alzheimer’s disease diagnosis using eigenbrains and bayesian classification rules

International Work-Conference on Artificial Neural Networks

2009
conference-paper

10.1007/978-3-642-02478-8_119

Automatic tool for Alzheimer’s disease diagnosis using PCA and Bayesian classification rules

Electronics Letters

2009
journal-article

10.1049/el.2009.0176

Computer aided diagnosis of the Alzheimer’s disease combining SPECT-based feature selection and random forest classifiers

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5401968

Effective detection of the alzheimer disease by means of coronal NMSE SVM feature classification

International Symposium on Neural Networks

2009
conference-paper

10.1007/978-3-642-01510-6_39

Finite mixture of α-stable distributions

2009
journal-article

10.1016/j.dsp.2007.11.004

fMRI data analysis using a novel clustering technique

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5401767

Functional brain image classification techniques for early alzheimer disease diagnosis

Bioinspired Applications in Artificial and Natural Computation

2009
other

10.1007/978-3-642-02267-8_17

Modelling and assessing differential gene expression using the alpha stable distribution

2009
journal-article

10.2202/1557-4679.1120

Multivariate approaches for Alzheimer’s disease diagnosis using Bayesian classifiers

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5401703

Neurological image classification for the alzheimer’s disease diagnosis using kernel PCA and support vector machines

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5402069

Selecting regions of interest for the diagnosis of alzheimer using brain SPECT images

Advances in Neural Networks – ISNN 2009

2009
other

10.1007/978-3-642-01513-7_43

Selecting regions of interest for the diagnosis of alzheimer’s disease in brain SPECT images using welch’s t-test

Bio-Inspired Systems: Computational and Ambient Intelligence

2009
other

10.1007/978-3-642-02478-8_121

Skewness as feature for the diagnosis of Alzheimer’s disease using spect images

Proceedings - International Conference on Image Processing, ICIP

2009
conference-paper

10.1109/ICIP.2009.5414369

SPECT image classification based on NMSE feature correlation weighting and SVM

IEEE Nuclear Science Symposium Conference Record

2009
conference-paper

10.1109/NSSMIC.2009.5401973

SPECT image classification using random forests

Electronics Letters

2009
journal-article

10.1049/el.2009.1111

SVM-based CAD system for early detection of the Alzheimer’s disease using kernel PCA and LDA

Neuroscience Letters

2009
journal-article

10.1016/j.neulet.2009.08.061

SVM-based computer-aided diagnosis of the Alzheimer’s disease using t-test NMSE feature selection with feature correlation weighting

Neuroscience Letters

2009
journal-article

10.1016/j.neulet.2009.06.052

A comparison of nonlinear least-square optimization methods in affine registration of SPECT images

IEEE Nuclear Science Symposium Conference Record

2008
conference-paper

10.1109/NSSMIC.2008.4774256

Automatic computer aided diagnosis tool using component-based SVM

IEEE Nuclear Science Symposium Conference Record

2008
conference-paper

10.1109/NSSMIC.2008.4774255

Clustering approach for the classificarion of SPECT images

IEEE Nuclear Science Symposium Conference Record

2008
conference-paper

10.1109/NSSMIC.2008.4774440

Early detection of the alzheimer disease combining feature selection and kernel machines

International Conference on Neural Information Processing

2008
conference-paper

10.1007/978-3-642-03040-6_50

Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images

Electronics Letters

2008
journal-article

10.1049/el:20081838

Microarray gene expression and stable laws,Gen i̇fadesi mikrodizileri ve kararli daǧilimlar

2007 IEEE 15th Signal Processing and Communications Applications, SIU

2007
conference-paper

10.1109/SIU.2007.4298832

Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components

2006
conference-paper

Estimation of mixtures of symmetric alpha stable distributions with an unknown number of components

2006
conference-paper

Contacto

dsalas@ugr.es

Diego Salas González

Publicaciones

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

Expectation–Maximization algorithm for finite mixture of α-stable distributions

Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease

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

Parkinson’s disease detection using isosurfaces-based features and convolutional neural networks

Support Vector Machine Failure in Imbalanced Datasets

A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer’s Disease

Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism

Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging

Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism

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

FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines

Improved separation of Alzheimer’s disease and related disorders using dual-point amyloid-PET

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson’s Disease

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

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

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

Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism

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

Case-based statistical learning applied to SPECT image classification

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

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

Evaluating Alzheimer’s disease diagnosis using texture analysis

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

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

On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy

Preprocessing of 18F-DMFP-PET data based on Hidden Markov random fields and the Gaussian distribution

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

A comparison among several methods for building templates in functional brain imaging

An optimal approach for selecting discriminant regions for the diagnosis of alzheimer’s disease

Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques

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

Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism

PETRA: A web-based system supporting computer aided diagnosis of Alzheimer’s disease

Simulating functional brain images in Alzheimer’s disease

Statistical feature selection and classification models for Alzheimer’s disease progression assessment

A posterization strategy for the registration of [123I]FP-CIT SPECT brain images

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

Comparison between different intensity normalization methods in 123I-Ioflupane imaging for the automatic detection of Parkinsonism

Erratum: Comparison between different intensity normalization methods in 123iioflupane imaging for the automatic detection of Parkinsonism (PLoS ONE 10:6 (e0130274) doi 10.1371/journal.pone.0130274)

Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches

A simplified QRS decision stage based on the DFT coefficients

Affine registration of [123I]FP-CIT SPECT brain images

Affine registration of 123I FP-CIT SPECT brain images

Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering

Projecting MRI brain images for the detection of Alzheimer’s Disease

Projecting MRI brain images for the detection of Alzheimer’s Disease

Statistical significance in the selection of the regions of interest for Parkinson brain image processing

Statistical significance in the selection of the regions of interest for Parkinson brain image processing

Why using the alpha-stable distribution in neuroimage?

Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features

Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization

Improving the convergence rate in affine registration of PET and SPECT brain images using histogram equalization

Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution

Parameterization of the distribution of white and grey matter in MRI using the α-stable distribution

Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies

A comparative study of feature extraction methods for the diagnosis of Alzheimer’s disease using the ADNI database

Bilateral symmetry aspects in computer-aided Alzheimer’s disease diagnosis by single-photon emission-computed tomography imaging

Computer Aided Diagnosis tool for Alzheimer’s Disease based on Mann-Whitney-Wilcoxon U-Test

FDG and PIB biomarker PET analysis for the Alzheimer’s disease detection using Association Rules

Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution

NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer’s disease

18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer’s Diseasea

Bayesian Segmentation of Magnetic Resonance Images Using the alpha-Stable Distribution

Computer aided diagnosis of Alzheimer’s disease using component based SVM

Distance Metric Learning as Feature Reduction Technique for the Alzheimer’s Disease Diagnosis

Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning

Effective diagnosis of Alzheimer’s disease by means of distance metric learning

Efficient mining of association rules for the early diagnosis of Alzheimer’s disease

GMM based SPECT image classification for the diagnosis of Alzheimer’s disease

MR brain image segmentation by growing hierarchical SOM and probability clustering

MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer’s disease

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

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

Analysis of ¹⁸F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism

Preprocessing of ¹⁸F-DMFP-PET data based on Hidden Markov random fields and the Gaussian distribution

Multiclass classification of ¹⁸F-DMFP-PET data to assist the diagnosis of parkinsonism

Comparison between different intensity normalization methods in ¹²³I-Ioflupane imaging for the automatic detection of Parkinsonism

¹⁸F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis

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