Diego Salas-Gonzalez

According to our database1, Diego Salas-Gonzalez authored at least 86 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2018
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease.
Front. Neuroinform., 2018

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017
Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases.
Front. Neuroinform., 2017

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.
Front. Neuroinform., 2017

A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Case-based statistical learning applied to SPECT image classification.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2016
Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

2015
Building a FP-CIT SPECT Brain Template Using a Posterization Approach.
Neuroinformatics, 2015

Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches.
Neurocomputing, 2015

A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images.
Proceedings of the VISAPP 2015, 2015

Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering.
Inf. Sci., 2014

Why Using the Alpha-stable Distribution in Neuroimage?.
Proceedings of the SIGMAP 2014, 2014

PETRA: Multivariate analyses for neuroimaging data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Affine registration of [123I]FP-CIT SPECT brain images.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Projecting MRI brain images for the detection of Alzheimer's Disease.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

A simplified QRS decision stage based on the DFT coefficients.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution.
NeuroImage, 2013

Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features.
Inf. Sci., 2013

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization.
Neurocomputing, 2013

Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine.
Expert Syst. Appl., 2013

Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization.
Comp. Math. Methods in Medicine, 2013

Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors.
Comp. Math. Methods in Medicine, 2013

Parameterization of the distribution of white and grey matter in MRI using the αα-stable distribution.
Comp. in Bio. and Med., 2013

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies.
Appl. Soft Comput., 2013

Erratum to "Unsupervised Neural Techniques Applied to MR Brain Image Segmentation".
Adv. Artificial Neural Systems, 2013

Early Computer Aided Diagnosis of Parkinson's Disease Based on Nearest Neighbor Strategy and striatum Activation Threshold.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Automatic Orientation of Functional Brain Images for Multiplataform Software.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Automatic ROI Selection Using SOM Modelling in Structural Brain MRI.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

2012
NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease.
IEEE Trans. Med. Imaging, 2012

A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database.
Neurocomputing, 2012

Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test.
Expert Syst. Appl., 2012

Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.
Artificial Intelligence in Medicine, 2012

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation.
Adv. Artificial Neural Systems, 2012

Optimized segmentation of Brain MRI using GHSOM and evolutive computing.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis.
Inf. Sci., 2011

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease.
Neurocomputing, 2011

Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images.
Digital Signal Processing, 2011

Computer aided diagnosis of Alzheimer's disease using component based SVM.
Appl. Soft Comput., 2011

GMM based SPECT image classification for the diagnosis of Alzheimer's disease.
Appl. Soft Comput., 2011

MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Distance Metric Learning as Feature Reduction Technique for the Alzheimer's Disease Diagnosis.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Bayesian Segmentation of Magnetic Resonance Images Using the α-Stable Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

SVM with Bounds of Confidence and PLS for Quantifying the Effects of Acupuncture on Migraine Patients.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Modelling with mixture of symmetric stable distributions using Gibbs sampling.
Signal Processing, 2010

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognition Letters, 2010

Early Alzheimer's disease diagnosis using partial least squares and random forests.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Partial Least Squares for Feature Extraction of SPECT Images.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Effective Diagnosis of Alzheimer's Disease by Means of Association Rules.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Finite mixture of alpha-stable distributions.
Digital Signal Processing, 2009

A heavy-tailed empirical Bayes method for replicated microarray data.
Computational Statistics & Data Analysis, 2009

Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Support Vector Machines and Neural Networks for the Alzheimer's Disease Diagnosis Using PCA.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Classification of SPECT Images Using Clustering Techniques Revisited.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer's Disease in Brain SPECT Images Using Welch's t-Test.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Automatic System for Alzheimer's Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.
Proceedings of the Advances in Neural Networks, 2009

Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.
Proceedings of the Advances in Neural Networks, 2009

Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Skewness as feature for the diagnosis of Alzheimer's disease using SPECT images.
Proceedings of the International Conference on Image Processing, 2009

2008
Neural networks and Principal Component Analysis applied to Automatic Radar Target Recognition based on Natural Resonances.
IJCSA, 2008

Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2006
Estimation of Mixtures of Symmetric Alpha Stable Distributions With an Unknown Number of Components.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components.
Proceedings of the 14th European Signal Processing Conference, 2006


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