Fermín Segovia Román

Universidad de Granada

Publicaciones

Baseline Findings from Dual-Phase Amyloid PET Study in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration

Journal of Personalized Medicine

2025
journal-article

10.3390/jpm15110520

Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning

AUTHORS: Francisco J. Martinez-Murcia; Juan Eloy Arco; Carmen Jimenez-Mesa; Fermin Segovia; Ignacio A. Illan; Javier Ramirez; Juan Manuel Gorriz

International Journal of Neural Systems

2024
journal-article

10.1142/S0129065724500436

A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model

AUTHORS: J. M. Górriz; C. Jiménez-Mesa; F. Segovia; J. Ramírez; J. Suckling

IEEE Journal of Biomedical and Health Informatics

2022
journal-article

10.1109/JBHI.2021.3101662

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

Information Fusion

2021
journal-article

10.1016/j.inffus.2020.09.008

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Neurocomputing

2020
journal-article

10.1016/j.neucom.2020.05.078

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

Information Fusion

2020
journal-article

10.1016/j.inffus.2020.01.001

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

Information Fusion

2020
journal-article

10.1016/j.inffus.2019.12.005

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

Power Transformer Forecasting in Smart Grids Using NARX Neural Networks

Theory and Applications of Time Series Analysis

2020
conference-paper

10.1007/978-3-030-56219-9_26

A Machine Learning Approach to Reveal the Neuro-Phenotypes of Autisms

International Journal of Neural Systems

2019
journal-article

10.1142/S0129065718500582

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology

International Journal of Neural Systems

2019
journal-article

10.1142/S0129065719500114

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

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

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

Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study

Journal of Alzheimer's Disease

2018
journal-article

10.3233/JAD-180232

Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages

Frontiers in Aging Neuroscience

2018
journal-article

10.3389/fnagi.2018.00158

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders

Logic Journal of the IGPL

2018
journal-article

10.1093/jigpal/jzy026

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach

2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018

2018
conference-paper

10.1109/PRNI.2018.8423959

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 Gaussian Mixtures to assist the diagnosis of Parkinsonism

AUTHORS: Segovia Román, Fermín; Salas Gonzalez, Diego; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Martínez Murcia, Francisco Jesús

SPIE Medical Imaging 2017

2017
conference-paper

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

AUTHORS: Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Álvarez Illán, Ignacio; Martínez Murcia, Francisco Jesús; Segovia Román, Fermín; Salas Gonzalez, Diego

SPIE Medical Imaging 2017

2017
conference-paper

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

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

Frontiers in neuroinformatics

2017
journal-article

10.3389/fninf.2017.00023

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

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

Semi-quantitative assessment with PETRA soft-platform of 18F-Florbetaben PET in patients with cognitive impairment

EANM'17 - Annual Congress of the European Association of Nuclear Medicine

2017
conference-paper

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

An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer’s Disease

AUTHORS: Salas-Gonzalez, Diego; Segovia Román, Fermín; Martínez-Murcia, Francisco Jesús; Lang, Elmar W.; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier

Current Alzheimer research

2016
journal-article

10.2174/1567205013666160415154852

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow

AUTHORS: Segovia, Fermín; García-Pérez, Marcelo; Górriz, Juan Manuel; Ramírez, Javier; Martínez-Murcia, Francisco Jesús

11th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2016)

2016
conference-paper

Brodmann ´s areas agreement between the early acquisition of FLORBETABEN-PET and FDG-PET. Multicenter study

AUTHORS: Sopena-Novales, Pablo; Sánchez Vañó, R.; Testart Dardel, Nathalie; Triviño Ibañez, Eva; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Segovia Román, Fermín; Carnero Pardo, Cristóbal; Gómez-Río, Manuel; Llamas Elvira, José Manuel

29th Annual Congress of the European Association of Nuclear Medicine – EANM’16

2016
conference-paper

10.1007/s00259-016-3484-4

Combining feature extraction methods to assist the diagnosis of Alzheimer’s disease

AUTHORS: Segovia, Fermín; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Phillips, Christophe

Current Alzheimer Research

2016
journal-article

10.2174/1567205013666151116141906

Dual-Time-Point of [f-18]Florbetaben-PET Scan. FDG-PET & Florbetaben-PET Two in One?

AUTHORS: Sopena-Novales, Pablo; Gomez-Rio, Manuel; Vañó, Raquel Sánchez; Testart Dardel, Nathalie; Triviño Ibañez, Eva; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Segovia Román, Fermín; Carnero Pardo, Cristóbal; Llamas Elvira, José Manuel

5th European Conference on Clinical Neuroimaging (ECCN 2016)

2016
conference-paper

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

AUTHORS: Ramírez Pérez de Inestrosa, Javier; Górriz Sáez, Juan Manuel; Martínez-Murcia, Francisco Jesús; Segovia Román, Fermín; Salas-Gonzalez, Diego

IEEE Workshop on Multimedia Signal Processing (MMSP 2016)

2016
conference-paper

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

AUTHORS: Peis, Ignacio; Salas Gonzalez, Diego; Martínez Murcia, Francisco Jesús; Segovia Román, Fermín; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Lang, Elmar W.

2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (2016 NSS/MIC)

2016
conference-paper

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

On the use of match filtering for the P300 detection

AUTHORS: Lafuente, Victor; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Martínez-Murcia, Francisco Jesús; Salas-Gonzalez, Diego; Segovia Román, Fermín

2016 International Conference on Computational Science and Computational Intelligence (CSCI'16)

2016
conference-paper

PETRA: A Web-based System Supporting Computer Aided Diagnosis of Alzheimer’s Disease

AUTHORS: Segovia Román, Fermín; Álvarez Illán, Ignacio; Salas Gonzalez, Diego; Martínez Murcia, Francisco Jesús; Ortiz, Andrés; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier

2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (2016 NSS/MIC)

2016
conference-paper

Simulating Functional Brain Images in Alzheimer’s Disease

AUTHORS: Vidal Sanz, Ulises; Martínez Murcia, Francisco Jesús; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier; Álvarez Illán, Ignacio; Segovia Román, Fermín; Salas Gonzalez, Diego

2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (2016 NSS/MIC)

2016
conference-paper

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

AUTHORS: Dominguez, A.; Ramírez Pérez de Inestrosa, Javier; Górriz Sáez, Juan Manuel; Segovia Román, Fermín; Salas Gonzalez, Diego; Martínez Murcia, Francisco Jesús; Álvarez Illán, Ignacio

2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (2016 NSS/MIC)

2016
conference-paper

Analysis of 18F-DMFP PET Data Using Multikernel Classification in Order to Assist the Diagnosis of Parkinsonism

AUTHORS: Segovia, Fermín; Górriz, Juan Manuel; Ramírez, Javier; Levin, Johannes

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

2015
conference-paper

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, Fermín; Illán, Ignacio A.; Górriz, Juan M.; Ramírez, Javier; Rominger, Axel; Levin, Johannes

Frontiers in Computational Neuroscience

2015
journal-article

10.3389/fncom.2015.00137

Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

AUTHORS: Khedher, L.; Ramírez, J.; Górriz, J. M.; Brahim, A.; Segovia, F.

Neurocomputing

2015
journal-article

10.1016/j.neucom.2014.09.072

Support for distinct subcomponents of spatial working memory: A double dissociation between spatial–simultaneous and spatial–sequential performance in unilateral neglect

AUTHORS: Wansard, Murielle; Bartolomeo, Paolo; Bastin, Christine; Segovia, Fermín; Gillet, Sophie; Duret, Christophe; Meulemans, Thierry

Cognitive Neuropsychology

2015
journal-article

10.1080/02643294.2014.995075

Combining neuropsychological and neuroimaging data to assist the early diagnosis of dementia

AUTHORS: Segovia, Fermín; Bastin, Christine; Salmon, Eric; Phillips, Christophe

The 20th Annual Meeting of the Organization for Human Brain Mapping

2014
conference-paper

Combining PET Images and neuropsychological test data for automatic diagnosis of alzheimer’s disease

AUTHORS: Segovia, F.; Bastin, C.; Salmon, E.; Goŕriz, J.M.; Ramiŕez, J.; Phillips, C.

PLoS ONE

2014
journal-article

10.1371/journal.pone.0088687

Cortical and subcortical contributions to state- and strength-based perceptual judgments

AUTHORS: Aly, Mariam; Wansard, Murielle; Segovia, Fermín; Yonelinas, Andrew P.; Bastin, Christine

Neuropsychologia

2014
journal-article

10.1016/j.neuropsychologia.2014.09.025

Identifying endophenotypes of autism: A multivariate approach

AUTHORS: Segovia, F.; Holt, R.; Spencer, M.; Górriz, J.M.; Ramírez, J.; Puntonet, C.G.; Phillips, C.; Chura, L.; Baron-Cohen, S.; Suckling, J.

Frontiers in Computational Neuroscience

2014
journal-article

10.3389/fncom.2014.00060

PET imaging analysis using a parcelation approach and multiple kernel classification

AUTHORS: Segovia, F.; Phillips, C.

2014
conference-paper

10.1109/PRNI.2014.6858544

PETRA: Multivariate analyses for neuroimaging data

AUTHORS: Segovia, Fermín; Álvarez Illán, Ignacio; Salas-Gonzalez, Diego; Martínez-Murcia, Francisco Jesús; Phillips, Christophe; García Puntonet, Carlos; Ramírez Pérez de Inestrosa, Javier; Górriz Sáez, Juan Manuel

2nd International Work-Conference on Bioinformatics and Biomedical Engineering - IWBBIO 2014

2014
conference-paper

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

Visual neglect: Is there a relationship between impaired spatial working memory and re-cancellation?

AUTHORS: Wansard, M.; Meulemans, T.; Gillet, S.; Segovia, F.; Bastin, C.; Toba, M.N.; Bartolomeo, P.

2014
journal-article

10.1007/s00221-014-4028-4

Automatic differentiation between Alzheimer’s disease and mild cognitive impairment combining PET data and psychological scores

AUTHORS: Segovia, F.; Bastin, C.; Salmon, E.; Gorriz, J.M.; Ramirez, J.; Phillips, C.

Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013

2013
conference-paper

10.1109/PRNI.2013.45

Automatic Orientation of Functional Brain Images for Multiplataform Software

AUTHORS: Illán, I. Alvarez; Górriz, Juan Manuel; Ramirez, Javier; Salas-González, Diego; Martínez-Murcia, Francisco Jesús; Segovia, F.; Puntonet, C. G.

5th International Work-Conference on the Interplay Between Natural and Artificial Computation

2013
conference-paper

Classification of MCI and AD patients combining PET data and psychological scores

AUTHORS: Segovia, Fermín; Bastin, Christine; Salmon, Eric; Phillips, Christophe

International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications

2013
conference-paper

Classification of positron emission tomography images using multiple kernel learning

AUTHORS: Segovia, Fermín; Bastin, Christine; Salmon, Eric; Phillips, Christophe

3rd NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging

2013
conference-paper

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

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: Segovia, Fermín; Górriz, Juan Manuel; Ramírez, Javier; Salas-Gonzalez, Diego; Illán, I. Álvarez; López, Miriam; Chaves, Rosa; Padilla, Pablo

Recent Advances in Biomedical Signal Processing

2012
book-chapter

A DSP embedded system. Application to digital communication systems

AUTHORS: Segovia, F.; Serrano, R.; Górriz, J.M.; Ramírez, J.; González, J.

Proceedings - 2012 Technologies Applied to Electronics Teaching, TAEE 2012

2012
conference-paper

10.1109/TAEE.2012.6235434

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

Automatic differentiation between controls and Parkinson’s disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio

AUTHORS: Segovia, Fermín; Górriz, Juan Manuel; Ramírez, Javier; Chaves, Rosa; Álvarez, Ignacio

Advances in Knowledge-Based and Intelligent Information and Engineering Systems (KES)

2012
conference-paper

Effective voxel selection method over FDG-PET database based on Association Rules

AUTHORS: Chaves, Rosa; Ramírez, Javier; Górriz, Juan Manuel; Segovia, Fermín

Advances in Knowledge-Based and Intelligent Information and Engineering Systems (KES)

2012
conference-paper

Functional brain image preprocessing for computer aided diagnosis systems

AUTHORS: Chaves, Rosa; Salas-Gonzalez, Diego; Ramírez, Javier; Górriz, Juan Manuel; López, Miriam; Illan, Ignacio A.; Segovia, Fermín

Recent Advances in Biomedical Signal Processing

2012
book-chapter

Functional image classification techniques for early Alzheimer’s disease detection

AUTHORS: Illán, I. Álvarez; López, Miriam; Górriz, Juan Manuel; Ramírez, Javier; Segovia, Fermín; Salas-Gonzalez, Diego; Chaves, Rosa; Puntonet, Carlos G.

Recent Advances in Biomedical Signal Processing

2012
book-chapter

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

AUTHORS: Moreno Caballero, M.; Álvarez Illán, I.; Romero Villarubia, A.; Segovia Román, F.; Sánchez Sánchez, R.; Minguez Castellanos, A.; Górriz Sáez, J. M.; Ramírez Pérez de Inestrosa, J.; Rodríguez Fernández, A.; Gómez Río, M.; Llamas Elvira, J. M.

EANM'12 Annual Congress of the European Association of Nuclear Medicine

2012
conference-paper

10.1007/s00259-012-2224-7

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

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

AUTHORS: Chaves, R.; Ramírez, J.; Górriz, J. M.; Salas-Gonzalez, D.; López, M.; Illán, I.; Segovia, F.; Olivares, A.

Hybrid Artificial Intelligent Systems (HAIS)

2011
conference-paper

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

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

International work-conference on the interplay between natural and artificial computation (IWINAC)

2011
conference-paper

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

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.; Ramírez, J.; Górriz, J. M.; López, M.; Salas-Gonzalez, D.; Illán, I.; Segovia, F.; Padilla, P.

Hybrid Artificial Intelligence Systems (HAIS)

2010
conference-paper

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: Illán, I. A.; Górriz, J. M.; Ramírez, J.; Salas-Gonzalez, D.; López, M.; Padilla, P.; Chaves, R.; Segovia, F.; Puntonet, C. G.

Hybrid Artificial Intelligence Systems (HAIS)

2010
conference-paper

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

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer’s Disease

AUTHORS: Padilla, Pablo; Górriz, Juan-Manuel; Ramírez, Javier; Lang, Elmar; Chaves, Rosa; Segovia, Fermin; Álvarez, Ignacio; Salas-González, Diego; López, Miriam

Hybrid Artificial Intelligence Systems (HAIS)

2010
conference-paper

Partial Least Squares for Feature Extraction of SPECT Images

AUTHORS: Segovia, F.; Ramírez, J.; Górriz, J. M.; Chaves, R.; Salas-Gonzalez, D.; López, M.; Álvarez, I.; Padilla, P.; Puntonet, C. G.

Hybrid Artificial Intelligence Systems (HAIS)

2010
conference-paper

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.; Górriz, J. M.; Ramírez, J.; Segovia, F.; Chaves, R.; López, M.; Illán, I. A.; Padilla, P.

Hybrid Artificial Intelligence Systems (HAIS)

2010
conference-paper

Alzheimer’s diagnosis using eigenbrains and support vector machines

Electronics Letters

2009
journal-article

10.1049/el.2009.3415

Alzheimer’s Diagnosis Using Eigenbrains and Support Vector Machines

AUTHORS: Álvarez, I.; Górriz, J. M.; Ramírez, J.; Salas-Gonzalez, D.; López, M.; Segovia, F.; Puntonet, C. G.; Prieto, B.

International Work-Conference on Artificial Neural Networks (IWANN)

2009
conference-paper

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 Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments

AUTHORS: Salas-Gonzalez, D.; Górriz, J. M.; Ramírez, J.; López, M.; Álvarez, I.; Segovia, F.; Puntonet, C. G.

International work-conference on the interplay between natural and artificial computation (IWINAC)

2009
conference-paper

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 System for Alzheimer’s Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules

AUTHORS: López, M.; Ramírez, J.; Górriz, J. M.; Álvarez, I.; Salas-Gonzalez, D.; Segovia, F.; Puntonet, C. G.

International Work-Conference on Artificial Neural Networks (IWANN)

2009
conference-paper

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

AUTHORS: Górriz, J. M.; Ramírez, J.; Lassl, A.; Álvarez, I.; Segovia, F.; Salas, D.; López, M.

International work-conference on the interplay between natural and artificial computation (IWINAC)

2009
conference-paper

Computer Aided Diagnosis of Alzheimer’s Disease Using Principal Component Analysis and Bayesian Classifiers

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

International Symposium on Neural Networks (ISNN)

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

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

Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification

AUTHORS: Ramírez, Javier; Chaves, Rosa; Górriz, Juan M.; Álvarez, Ignacio; Salas-Gonzalez, Diego; López, Míriam; Segovia, Fermín

International Symposium on Neural Networks (ISNN)

2009
conference-paper

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

Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis

AUTHORS: Ramírez, J.; Chaves, R.; Górriz, J. M.; Álvarez, I.; López, M.; Salas-Gonzalez, D.; Segovia, F.

International work-conference on the interplay between natural and artificial computation (IWINAC)

2009
conference-paper

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

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

International Symposium on Neural Networks (ISNN)

2009
conference-paper

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 Using Brain SPECT Images

AUTHORS: Salas-Gonzalez, Diego; Górriz, Juan M.; Ramírez, Javier; Álvarez, Ignacio; López, Míriam; Segovia, Fermín; Puntonet, Carlos G.

International Symposium on Neural Networks (ISNN)

2009
conference-paper

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

Selecting Regions of Interest for the Diagnosis of Alzheimer’s Disease in Brain SPECT Images Using Welch’s t-Test

AUTHORS: Salas-Gonzalez, D.; Górriz, J. M.; Ramírez, J.; López, M.; Álvarez, I.; Segovia, F.; Puntonet, C. G.

International Work-Conference on Artificial Neural Networks (IWANN)

2009
conference-paper

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

AUTHORS: Ramírez, J.; Chaves, R.; Górriz, J. M.; López, M.; Salas-Gonzalez, D.; Álvarez, I.; Segovia, F.

International Work-Conference on Artificial Neural Networks (IWANN)

2009
conference-paper

SPECT image classification using random forests

Electronics Letters

2009
journal-article

10.1049/el.2009.1111

Support Vector Machines and Neural Networks for the Alzheimer’s Disease Diagnosis Using PCA

AUTHORS: López, M.; Ramírez, J.; Górriz, J. M.; Álvarez, I.; Salas-Gonzalez, D.; Segovia, F.; Gómez-Río, M.

International work-conference on the interplay between natural and artificial computation (IWINAC)

2009
conference-paper

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

Tool for study and classification of medical images

AUTHORS: Segovia, Fermín; Górriz, Juan Manuel; Ramírez, Javier; Salas-Gonzalez, Diego; Álvarez, Ignacio; López, Míriam; Puntonet, Carlos G.

IADAT e-2009

2009
conference-paper

Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations

AUTHORS: Álvarez, I.; López, M.; Górriz, J. M.; Ramírez, J.; Salas-Gonzalez, D.; Puntonet, C. G.; Segovia, F.

International Conference on Neural Information Processing (ICONIP)

2008
conference-paper

Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees

AUTHORS: Salas-Gonzalez, D.; Górriz, J. M.; Ramírez, J.; López, M.; Álvarez, I.; Segovia, F.; Puntonet, C. G.

International Conference on Neural Information Processing (ICONIP)

2008
conference-paper

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

Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines

AUTHORS: Ramírez, J.; Górriz, J. M.; López, M.; Salas-Gonzalez, D.; Álvarez, I.; Segovia, F.; Puntonet, C. G.

International Conference on Neural Information Processing (ICONIP)

2008
conference-paper

Contacto

fsegovia@ugr.es

Fermín Segovia Román

Publicaciones

Baseline Findings from Dual-Phase Amyloid PET Study in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration

Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning

A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model

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

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

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

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

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

Power Transformer Forecasting in Smart Grids Using NARX Neural Networks

A Machine Learning Approach to Reveal the Neuro-Phenotypes of Autisms

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology

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

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

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

Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study

Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach

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 Gaussian Mixtures 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

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

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

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

Semi-quantitative assessment with PETRA soft-platform of 18F-Florbetaben PET in patients with cognitive impairment

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

An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer’s Disease

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow

Brodmann ´s areas agreement between the early acquisition of FLORBETABEN-PET and FDG-PET. Multicenter study

Combining feature extraction methods to assist the diagnosis of Alzheimer’s disease

Dual-Time-Point of [f-18]Florbetaben-PET Scan. FDG-PET & Florbetaben-PET Two in One?

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

On the use of match filtering for the P300 detection

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

Analysis of 18F-DMFP PET Data Using Multikernel Classification in Order to Assist the Diagnosis of Parkinsonism

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

Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

Support for distinct subcomponents of spatial working memory: A double dissociation between spatial–simultaneous and spatial–sequential performance in unilateral neglect

Combining neuropsychological and neuroimaging data to assist the early diagnosis of dementia

Combining PET Images and neuropsychological test data for automatic diagnosis of alzheimer’s disease

Cortical and subcortical contributions to state- and strength-based perceptual judgments

Identifying endophenotypes of autism: A multivariate approach

PET imaging analysis using a parcelation approach and multiple kernel classification

PETRA: Multivariate analyses for neuroimaging data

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

Visual neglect: Is there a relationship between impaired spatial working memory and re-cancellation?

Automatic differentiation between Alzheimer’s disease and mild cognitive impairment combining PET data and psychological scores

Automatic Orientation of Functional Brain Images for Multiplataform Software

Classification of MCI and AD patients combining PET data and psychological scores

Classification of positron emission tomography images using multiple kernel learning

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

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

A DSP embedded system. Application to digital communication systems

Automatic assistance to Parkinsons disease diagnosis in DaTSCAN SPECT imaging

Automatic differentiation between controls and Parkinson’s disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio

Effective voxel selection method over FDG-PET database based on Association Rules

Functional brain image preprocessing for computer aided diagnosis systems

Functional image classification techniques for early Alzheimer’s disease detection

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

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

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