Ignacio Álvarez Illán

Universidad de Granada

Publicaciones

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

Information Fusion

2021
journal-article

10.1016/j.inffus.2020.09.008

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

Information Fusion

2020
journal-article

10.1016/j.inffus.2020.01.001

Estimating the Severity of Alzheimer’s Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data

AUTHORS: P. Manresa-Nebot; F. J. Martinez-Murcia; I. A. Illan; J. M. Gorriz; J. Ramirez; F. Segovia

2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

2020
other

10.1109/nss/mic42677.2020.9507767

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

Information Fusion

2020
journal-article

10.1016/j.inffus.2019.12.005

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis

AUTHORS: Carmen Jimenez-Mesa; Ignacio Alvarez Illan; Alberto Martin-Martin; Diego Castillo-Barnes; Francisco Jesus Martinez-Murcia; Javier Ramirez; Juan M. Gorriz

IEEE Access

2020
journal-article

10.1109/ACCESS.2020.2997736

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

NESTED 3D NEURAL NETWORKS FOR KIDNEY AND TUMOR SEGMENTATION

AUTHORS: Olmo Zavala-Romero; Javier Perez Matos; Ignacio Alvarez Illan; Radka Stoyanova; Adrian L. Breto; Isaac Xu; Jorge Zavala-Hidalgo; Rosario Romero-Centeno

Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19

2019
other

10.24926/548719.084

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Understanding the Brain Function and Emotions

2019
other

10.1007/978-3-030-19591-5_36

Support Vector Machine Failure in Imbalanced Datasets

Understanding the Brain Function and Emotions

2019
other

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

3D Gabor Filters for Chest Segmentation in DCE-MRI

AUTHORS: Illan, I. A.; Matos, J. P.; Ramirez, J.; Gorriz, J. M.; Foo, S.; Meyer-Baese, A.

Hybrid Artificial Intelligent Systems

2018
book-chapter

10.1007/978-3-319-92639-1_37

Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

AUTHORS: Ignacio Alvarez Illan; Javier Ramirez; J. M. Gorriz; Maria Adele Marino; Daly Avendano; Thomas Helbich; Pascal Baltzer; Katja Pinker; Anke Meyer-Baese

Contrast Media & Molecular Imaging

2018
journal-article

10.1155/2018/5308517

Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets

AUTHORS: I. A. Illan; J. Ramirez; J. M. Gorriz; K. Pinker; A. Meyer-Baese

International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

2018
other

10.1007/978-3-319-94120-2_21

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

Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

AUTHORS: Ignacio Alvarez Illán; Anke Mayer-Baese; Amirhessam Tahmassebi; Javier Ramirez; Juan Manuel Gorriz; Katja Pinker; Simon Foo; Amit Ashok; Jonathan C. Petruccelli; Abhijit Mahalanobis; Lei Tian

Computational Imaging III

2018
conference-paper

10.1117/12.2304588

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis

AUTHORS: I. A. Illan; J. Ramirez; J. M. Gorriz; K. Pinker; A. Meyer-Baese

Image Analysis for Moving Organ, Breast, and Thoracic Images

2018
other

10.1007/978-3-030-00946-5_14

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

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

Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks

AUTHORS: Meyer-Baese, Anke; Roberts, Rodney G.; Illan, Ignacio A.; Meyer-Base, Uwe; Lobbes, Marc; Stadlbauer, Andreas; Pinker-Domenig, Katja

Frontiers in Computational Neuroscience

2017
journal-article

10.3389/fncom.2017.00087

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

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support

AUTHORS: Khedher, Laila; Illan, Ignacio A.; Gorriz, Juan M.; Ramirez, Javier; Brahim, Abdelbasset; Meyer-Baese, Anke

International Journal of Neural Systems

2017
journal-article

10.1142/S0129065716500507

Machine learning for challenging tumour detection and classification in breast cancer

2017
other

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

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

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

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 volumetric radial LBP projection of MRI brain images for the diagnosis of Alzheimer’s disease

Artificial Computation in Biology and Medicine, Pt I (Iwinac 2015)

2015
book-chapter

10.1007/978-3-319-18914-7_3

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

Neuroinformatics

2015
journal-article

10.1007/s12021-015-9262-9

Digital image analysis for automatic enumeration of malaria parasites using morphological operations

AUTHORS: Arco, J.E.; Górriz, J.M.; Ramírez, J.; Álvarez, I.; Puntonet, C.G.

Expert Systems with Applications

2015
journal-article

10.1016/j.eswa.2014.11.037

Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks

AUTHORS: Segovia, F.; Illan, I. A.; Gorriz, J. M.; Ramirez, J.; Rominger, A.; Levin, J.

Frontiers in Computational Neuroscience

2015
journal-article

10.3339/fncom.2015.00137

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s disease diagnosis

AUTHORS: Ortiz, A.; Munilla, J.; Álvarez-Illán, I.; Górriz, J.M.; Ramírez, J.

Frontiers in Computational Neuroscience

2015
journal-article

10.3389/fncom.2015.00132

Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data

AUTHORS: Khedher, L.; Ramirez, Javier; Manuel Gorriz, J.; Brahim, A.; Illan, I. A.

Artificial Computation in Biology and Medicine, Pt I (Iwinac 2015)

2015
book-chapter

10.1007/978-3-319-18914-7_9

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

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

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging

AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Ortiz, A.

Neurocomputing

2014
journal-article

10.1016/j.neucom.2013.01.054

PETRA: Multivariate analyses for neuroimaging data

AUTHORS: Segovia, F.; Illan, I. A.; Salas-Gonzalez, D.; Martinez-Murcia, F. J.; Phillips, C.; Puntonet, C. G.; Ramirez, J.; Gorriz, J. M.; Ortuno, F; Rojas, I

Proceedings Iwbbio 2014: International Work-Conference on Bioinformatics and Biomedical Engineering, Vols 1 and 2

2014
journal-article

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

Spatial component analysis of MRI data for Alzheimer’s disease diagnosis: A Bayesian network approach

AUTHORS: Illan, I.A.; Górriz, J.M.; Ramírez, J.; Meyer-Base, A.

Frontiers in Computational Neuroscience

2014
journal-article

10.3389/fncom.2014.00156

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

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

AUTHORS: Rojas, A.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Martínez-Murcia, F.J.; Ortiz, A.; Gómez Río, M.; Moreno-Caballero, M.

Expert Systems with Applications

2013
journal-article

10.1016/j.eswa.2012.11.017

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

Functional activity maps based on significance measures and Independent Component Analysis

AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Puntonet, C.G.; Illán, I.A.

Computer Methods and Programs in Biomedicine

2013
journal-article

10.1016/j.cmpb.2013.03.015

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

Texture features based detection of Parkinson’s disease on DaTSCAN images

AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Puntonet, C.G.

Natural and Artificial Computation in Engineering and Medical Applications

2013
other

10.1007/978-3-642-38622-0_28

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

A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images

AUTHORS: F. Segovia; J. M. Gorriz; J. Ramirez; D. Salas-Gonzalez; I. A. Illan; M. Lopez; R. Chaves; P. Padilla

Recent Advances in Biomedical Signal Processing

2012
other

10.2174/978160805218911101010082

Automatic assistance to Parkinsons disease diagnosis in DaTSCAN SPECT imaging

AUTHORS: Illán, I.A.; Górriz, J.M.; Ramírez, J.; Segovia, F.; Jiménez-Hoyuela, J.M.; Ortega Lozano, S.J.

Medical Physics

2012
journal-article

10.1118/1.4742055

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

Effective diagnosis of Alzheimers disease by means of large margin-based methodology

AUTHORS: Chaves, R.; Ramírez, J.; Gárriz, J.M.; Illán, I.A.; Gámez-Río, M.; Carnero, C.

BMC Medical Informatics and Decision Making

2012
journal-article

10.1186/1472-6947-12-79

Empirical mode decomposition as a feature extraction method for Alzheimer’s disease diagnosis

AUTHORS: Rojas, A.; Goŕriz, J.M.; Ramírez, J.; Gallix, A.; Illán, I.A.

IEEE Nuclear Science Symposium Conference Record

2012
conference-paper

10.1109/NSSMIC.2012.6551897

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

Functional brain image classification using association rules defined over discriminant regions

AUTHORS: Chaves, R.; Ramírez, J.; Górriz, J.M.; Illán, I.A.

Pattern Recognition Letters

2012
journal-article

10.1016/j.patrec.2012.04.011

Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

AUTHORS: R. Chaves; D. Salas-Gonzalez; J. Ramirez; J. M. Gorriz; M. Lopez; I. Alvarez; F. Segoviaa

Recent Advances in Biomedical Signal Processing

2012
other

10.2174/978160805218911101010095

Functional Image Classification Techniques For Early Alzheimer’s Disease Detection

AUTHORS: I. Alvarez-Illan; Miriam M. Lopez; J. M. Gorriz; J. Ramirez; F. Segovia; D. Salas-Gonzalez; R. Chaves; C. G. Puntonet

Recent Advances in Biomedical Signal Processing

2012
other

10.2174/978160805218911101010107

I-123-Ioflupane brain SPECT imaging analysis for computer aided parkinsonian syndromes diagnosis

AUTHORS: Moreno Caballero, M.; Alvarez Illan, I.; Romero Villarubia, A.; Segovia Roman, F.; Sanchez Sanchez, R.; Minguez Castellanos, A.; Gorriz Saez, J. M.; Perez de Inestrosa, J. Ramirez; Rodriguez Fernandez, A.; Gomez-Rio, M.; Llamas Elvira, J. M.

European Journal of Nuclear Medicine and Molecular Imaging

2012
journal-article

Improved Parkinsonism diagnosis using a partial least squares based approach

AUTHORS: Segovia, F.; Górriz, J.M.; Ramírez, J.; Álvarez, I.; Jiménez-Hoyuela, J.M.; Ortega, S.J.

Medical Physics

2012
journal-article

10.1118/1.4730289

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

On the empirical mode decomposition applied to the analysis of brain SPECT images

AUTHORS: Gallix, A.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Lang, E.W.

Expert Systems with Applications

2012
journal-article

10.1016/j.eswa.2012.05.058

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

Information Sciences

2011
journal-article

10.1016/j.ins.2010.10.027

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

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

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

AUTHORS: Chaves, R.; Ramirez, J.; Gorriz, J. M.; Illan, I.; Segovia, F.; Olivares, A.

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

2011
book-chapter

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

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

Effective Diagnosis of Alzheimer’s Disease by Means of Association Rules

AUTHORS: Chaves, R.; Ramirez, J.; Gorriz, J. M.; Lopez, M.; Salas-Gonzalez, D.; Illan, I.; Segovia, F.; Padilla, P.

Hybrid Artificial Intelligence Systems, Pt 1

2010
book-chapter

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

Exploring Symmetry to Assist Alzheimer’s Disease Diagnosis

AUTHORS: Illan, I. A.; Gorriz, J. M.; Ramirez, J.; Salas-Gonzalez, D.; Lopez, M.; Padilla, P.; Chaves, R.; Segovia, F.; Puntonet, C. G.; Romay, MG; Corchado, E; GarciaSebastian, MT

Hybrid Artificial Intelligence Systems, Pt 1

2010
journal-article

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

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

Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer’s Disease

AUTHORS: Salas-Gonzalez, D.; Gorriz, J. M.; Ramirez, J.; Segovia, F.; Chaves, R.; Lopez, M.; Illan, I. A.; Padilla, P.

Hybrid Artificial Intelligence Systems, Pt 1

2010
book-chapter

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 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

Classification of spect images using clustering techniques revisited

International Work-Conference on the Interplay Between Natural and Artificial Computation

2009
conference-paper

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

Dielectric branes in nontrivial backgrounds

AUTHORS: Illan, I.A.

2009
journal-article

10.1142/S0217732309030850

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

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

Independent Component Analysis of SPECT Images to Assist the Alzheimer’s Disease Diagnosis

AUTHORS: Ignacio Álvarez; Juan M. Górriz; Javier Ramírez; Diego Salas-Gonzalez; Miriam López; Carlos García Puntonet; Fermin Segovia

The Sixth International Symposium on Neural Networks (ISNN 2009)

2009
other

10.1007/978-3-642-01216-7_43

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 techniques for computer aided diagnosis of the alzheimer disease

International Work-Conference on Artificial Neural Networks

2009
conference-paper

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

Automatic classification system for the diagnosis of alzheimer disease using Component-Based SVM aggregations

International Conference on Neural Information Processing

2008
conference-paper

Automatic computer aided diagnosis tool using component-based SVM

IEEE Nuclear Science Symposium Conference Record

2008
conference-paper

10.1109/NSSMIC.2008.4774255

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

On the gauge invariance and coordinate transformations of non-abelian D-brane actions

AUTHORS: Adam, J.; Illán, I.A.; Janssen, B.

2005
journal-article

10.1088/1126-6708/2005/10/022

Contacto

illan@ugr.es

Ignacio Álvarez Illán

Publicaciones

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

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

Estimating the Severity of Alzheimer’s Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data

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

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis

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

NESTED 3D NEURAL NETWORKS FOR KIDNEY AND TUMOR SEGMENTATION

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Support Vector Machine Failure in Imbalanced Datasets

3D Gabor Filters for Chest Segmentation in DCE-MRI

Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets

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

Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis

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

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

Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks

Evaluating Alzheimer’s disease diagnosis using texture analysis

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

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support

Machine learning for challenging tumour detection and classification in breast cancer

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

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

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

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 volumetric radial LBP projection of MRI brain images for the diagnosis of Alzheimer’s disease

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

Digital image analysis for automatic enumeration of malaria parasites using morphological operations

Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s disease diagnosis

Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data

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

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

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging

PETRA: Multivariate analyses for neuroimaging data

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

Spatial component analysis of MRI data for Alzheimer’s disease diagnosis: A Bayesian network approach

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

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

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

Functional activity maps based on significance measures and Independent Component Analysis

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

Texture features based detection of Parkinson’s disease on DaTSCAN images

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

A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images

Automatic assistance to Parkinsons disease diagnosis in DaTSCAN SPECT imaging

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

Effective diagnosis of Alzheimers disease by means of large margin-based methodology

Empirical mode decomposition as a feature extraction method for Alzheimer’s disease diagnosis

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

Functional brain image classification using association rules defined over discriminant regions

Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

Functional Image Classification Techniques For Early Alzheimer’s Disease Detection

I-123-Ioflupane brain SPECT imaging analysis for computer aided parkinsonian syndromes diagnosis

Improved Parkinsonism diagnosis using a partial least squares based approach

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

On the empirical mode decomposition applied to the analysis of brain SPECT images

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

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

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

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

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

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

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

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

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

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

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

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