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

Expert systems with applications, 2012-08, Vol.39 (10), p.9676-9685

2012

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

Expert systems with applications, 2017-12, Vol.90, p.40-49

2017

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

Neurocomputing (Amsterdam), 2015-02, Vol.150, p.4-15

2015

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

Applied soft computing, 2013-05, Vol.13 (5), p.2668-2682

2013

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

Electronics letters, 2010-04, Vol.46 (8), p.556-558

2010

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

Expert systems with applications, 2013-02, Vol.40 (2), p.677-683

2013

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

IEEE access, 2017, Vol.5, p.11468-11478

2017

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Correction: Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism

PloS one, 2015, Vol.10 (7), p.e0135107-e0135107

2015

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Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study

Current Alzheimer research, 2016-06, Vol.13 (6), p.695-707

2016

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Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson’s Disease Using Multimodal Data

International journal of neural systems, 2023-08, Vol.33 (8)

2023

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

Neurocomputing (Amsterdam), 2011-03, Vol.74 (8), p.1260-1271

2011

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

Neurocomputing (Amsterdam), 2020-12, Vol.417, p.1-9

2020

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Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images

Natural and Artificial Computation for Biomedicine and Neuroscience, 2017, Vol.10337, p.305-313

2017

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Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes

Medical Image Understanding and Analysis, 2017, Vol.723, p.459-469

2017

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Connected system for monitoring electrical power transformers using thermal imaging

Integrated computer-aided engineering, 2023-08, Vol.30 (4), p.353-368

2023

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

Neurocomputing (Amsterdam), 2012, Vol.75 (1), p.64-71

2012

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

Electronics letters, 2009-04, Vol.45 (8), p.389-391

2009

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

Electronics letters, 2008-10, Vol.44 (22), p.1291-1292

2008

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Automatic selection of ROIs using a model-based clustering approach

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009, p.3194-3198

2009

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

2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), 2018, p.1-3

2018

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

Pattern recognition letters, 2010-08, Vol.31 (11), p.1342-1347

2010

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Alzheimer's diagnosis using eigenbrains and support vector machines

Electronics letters, 2009-03, Vol.45 (7), p.342-343

2009

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fMRI data analysis using a novel clustering technique

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC), 2009, p.3399-3403

2009

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MR brain image segmentation by growing hierarchical SOM and probability clustering

Electronics letters, 2011-05, Vol.47 (10), p.585-586

2011

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Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation”

Advances in artificial neural systems, 2013-01, Vol.2013 (2013), p.1-1

2013

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

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

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

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

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

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

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

Correction: Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism

Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study

Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson’s Disease Using Multimodal Data

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

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

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images

Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes

Connected system for monitoring electrical power transformers using thermal imaging

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

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

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

Automatic selection of ROIs using a model-based clustering approach

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

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

Alzheimer's diagnosis using eigenbrains and support vector machines

fMRI data analysis using a novel clustering technique

MR brain image segmentation by growing hierarchical SOM and probability clustering

Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation”

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