Javier Ramírez

Orcid: 0000-0002-6229-2921

Affiliations:
  • University of Granada, Department of Signal Theory, Telematics and Communications, Spain


According to our database1, Javier Ramírez authored at least 270 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning.
Int. J. Neural Syst., August, 2024

Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches.
CoRR, 2024

Is K-fold cross validation the best model selection method for Machine Learning?
CoRR, 2024

Improved organs at risk segmentation based on modified U-Net with self-attention and consistency regularisation.
CAAI Trans. Intell. Technol., 2024

A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
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Inf. Fusion, December, 2023

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data.
Int. J. Neural Syst., August, 2023

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.
Int. J. Neural Syst., April, 2023

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Int. J. Neural Syst., April, 2023

Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.
Appl. Soft Comput., February, 2023

A non-parametric statistical inference framework for Deep Learning in current neuroimaging.
Inf. Fusion, 2023

Uncertainty-driven ensembles of multi-scale deep architectures for image classification.
Inf. Fusion, 2023

Connected system for monitoring electrical power transformers using thermal imaging.
Integr. Comput. Aided Eng., 2023

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
CoRR, 2023

Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders.
CoRR, 2023

2022
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.
IEEE J. Biomed. Health Informatics, 2022

A hypothesis-driven method based on machine learning for neuroimaging data analysis.
Neurocomputing, 2022

Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images.
Int. J. Neural Syst., 2022

Tiled Sparse Coding in Eigenspaces for Image Classification.
Int. J. Neural Syst., 2022

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022

Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy.
Neurocomputing, 2021

Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease.
Expert Syst. Appl., 2021

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images.
CoRR, 2021

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.
CoRR, 2021

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.
CoRR, 2021

2020
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE J. Biomed. Health Informatics, 2020

Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.
Neuroinformatics, 2020

Hardware implementation of real-time pedestrian detection system.
Neural Comput. Appl., 2020

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020

Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion, 2020

Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease.
Neurocomputing, 2020

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020

Expectation-Maximization algorithm for finite mixture of α-stable distributions.
Neurocomputing, 2020

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
Int. J. Neural Syst., 2020

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
Int. J. Neural Syst., 2020

Editorial: Deep Learning in Aging Neuroscience.
Frontiers Neuroinformatics, 2020

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR, 2020

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis.
IEEE Access, 2020

2019
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging.
Pattern Recognit., 2019

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes.
Neurocomputing, 2019

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology.
Int. J. Neural Syst., 2019

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Int. J. Neural Syst., 2019

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
Int. J. Neural Syst., 2019

Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression.
Integr. Comput. Aided Eng., 2019

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks.
Frontiers Neuroinformatics, 2019

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Support Vector Machine Failure in Imbalanced Datasets.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019

2018
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Int. J. Neural Syst., 2018

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders.
Log. J. IGPL, 2018

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

Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI.
CoRR, 2018

Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 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

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

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

3D Gabor Filters for Chest Segmentation in DCE-MRI.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Encoding, preparation and implementation of novel complex verbal instructions.
NeuroImage, 2017

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Int. J. Neural Syst., 2017

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism.
Frontiers Neuroinformatics, 2017

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.
Frontiers Neuroinformatics, 2017

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

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

P300 brainwave extraction from EEG signals: An unsupervised approach.
Expert Syst. Appl., 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

Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 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

Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 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

PET Image Classification Using HHT-Based Features Through Fractal Sampling.
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

A proposed computer-aided diagnosis system for Parkinson's disease classification using <sup>123</sup>I-FP-CIT imaging.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.
Int. J. Neural Syst., 2016

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease.
Int. J. Neural Syst., 2016

Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning.
Frontiers Comput. Neurosci., 2016

Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters.
Comput. Biol. Medicine, 2016

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Multiclass classification of <sup>18</sup>F-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

Improving short-term prediction from MCI to AD by applying searchlight analysis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 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

Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Neurocomputing, 2015

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.
Frontiers Comput. Neurosci., 2015

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.
Frontiers Comput. Neurosci., 2015

Digital image analysis for automatic enumeration of malaria parasites using morphological operations.
Expert Syst. Appl., 2015

Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach.
Appl. Soft Comput., 2015

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

Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Independent Component Analysis-Based Classification of Alzheimer's Disease from Segmented MRI Data.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach.
Proceedings of the Artificial Computation in Biology and Medicine, 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

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging.
Neurocomputing, 2014

Identifying endophenotypes of autism: a multivariate approach.
Frontiers Comput. Neurosci., 2014

Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.
Frontiers Comput. Neurosci., 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

Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Gated Sensor Fusion: A way to Improve the Precision of Ambulatory Human Body Motion Estimation.
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

Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

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

2013
Automatic Determination of Validity of Input Data Used in Ellipsoid Fitting MARG Calibration Algorithms.
Sensors, 2013

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease.
Pattern Recognit. Lett., 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

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease.
Expert Syst. Appl., 2013

Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images.
Expert Syst. Appl., 2013

Integrating discretization and association rule-based classification for Alzheimer's disease diagnosis.
Expert Syst. Appl., 2013

Functional activity maps based on significance measures and Independent Component Analysis.
Comput. Methods Programs Biomed., 2013

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

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

Parameterization of the distribution of white and grey matter in MRI using the <i>α</i>α-stable distribution.
Comput. Biol. Medicine, 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. Artif. Neural Syst., 2013

Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 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

Texture Features Based Detection of Parkinson's Disease on DaTSCAN Images.
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. Medical Imaging, 2012

Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study.
Sensors, 2012

Functional brain image classification using association rules defined over discriminant regions.
Pattern Recognit. Lett., 2012

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.
BMC Medical Informatics Decis. Mak., 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

On the empirical mode decomposition applied to the analysis of brain SPECT images.
Expert Syst. Appl., 2012

Association rule-based feature selection method for Alzheimer's disease diagnosis.
Expert Syst. Appl., 2012

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

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation.
Adv. Artif. Neural Syst., 2012

Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering 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

SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Effective voxel selection method over FDG-PET database based on Association Rules.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for <sup>18</sup>F-FDG PET preclinical studies.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Wagyromag: Wireless sensor network for monitoring and processing human body movement in healthcare applications.
J. Syst. Archit., 2011

<sup>18</sup>F-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.
Digit. Signal Process., 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

A Quantitative Study on Acupuncture Effects for Fighting Migraine Using SPECT Images.
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

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning and Random Forest.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Bayesian Segmentation of Magnetic Resonance Images Using the <i>α</i>-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
Improved likelihood ratio test based voice activity detector applied to speech recognition.
Speech Commun., 2010

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognit. Lett., 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

Accurate Human Limb Angle Measurement in Telerehabilitation: Sensor Fusion through Kalman, LMS and RLS Adaptive Filtering.
Proceedings of the Ambient Intelligence and Future Trends, 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

Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities.
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
A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.
IEEE Signal Process. Lett., 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

Volcano-seismic Signal Detection and Classification Processing using Hidden Markov Models. Application to San Cristóbal Volcano, Nicaragua.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

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

2008
Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection.
IEEE Trans. Speech Audio Process., 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

Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data.
Proceedings of the Computational Science, 2008

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Continuous HMM-Based Seismic-Event Classification at Deception Island, Antarctica.
IEEE Trans. Geosci. Remote. Sens., 2007

Improved Voice Activity Detection Using Contextual Multiple Hypothesis Testing for Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2007

An Efficient VAD Based on a Generalized Gaussian PDF.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.
Proceedings of the Computational and Ambient Intelligence, 2007

Revised Contextual LRT for Voice Activity Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Speech/non-speech discrimination based on contextual information integrated bispectrum LRT.
IEEE Signal Process. Lett., 2006

Generalized LRT-Based Voice Activity Detector.
IEEE Signal Process. Lett., 2006

Hard C-means clustering for voice activity detection.
Speech Commun., 2006

SVM-Enabled Voice Activity Detection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Noise robust model-based voice activity detection.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Speech/non-speech discrimination combining advanced feature extraction and SVM learning.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

An efficient bispectrum phase entropy-based algorithm for VAD.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Normalization of the inter-frame information using smoothing filtering.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Noise Subspace Fuzzy C-Means Clustering for Robust Speech Recognition.
Proceedings of the Computational Science and Its Applications, 2006

Speech Event Detection Using Support Vector Machines.
Proceedings of the Computational Science, 2006

C-Means Clustering Applied to Speech Discrimination.
Proceedings of the Computational Science, 2006

Independent Component Analysis Applied to Voice Activity Detection.
Proceedings of the Computational Science, 2006

Fuzzy Logic Speech/Non-speech Discrimination for Noise Robust Speech Processing.
Proceedings of the Computational Science, 2006

Gaialab: A Weblab Project for Digital Communications Distributed Learning.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Effective Speech/Pause Discrimination Using an Integrated Bispectrum Likelihood Ratio Test.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Parametric Nonlinear Feature Equalization for Robust Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Effective Speech/Pause Discrimination Combining Noise Suppression and Fuzzy Logic Rules.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Continuous HMM-Based Volcano Monitoring at Deception Island, Antarctica.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
An effective subband OSF-based VAD with noise reduction for robust speech recognition.
IEEE Trans. Speech Audio Process., 2005

Statistical voice activity detection using a multiple observation likelihood ratio test.
IEEE Signal Process. Lett., 2005

Efficient Rns-based Design of Programmable Fir Filters Targeting Fpl Technology.
J. Circuits Syst. Comput., 2005

Testing for Independence and Lrt for VAD.
Int. J. Inf. Acquis., 2005

Bispectrum Estimators for Voice Activity Detection and Speech Recognition.
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

Bispectra Analysis-Based VAD for Robust Speech Recognition.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Voice Activity Detection Using Higher Order Statistics.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Bispectrum-Based Statistical Tests for VAD.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Efficient Embedded FPL Resource Usage for RNS-based Polyphase DWT Filter Banks.
Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

2004
Cepstral domain segmental nonlinear feature transformations for robust speech recognition.
IEEE Signal Process. Lett., 2004

A new Kullback-Leibler VAD for speech recognition in noise.
IEEE Signal Process. Lett., 2004

Efficient voice activity detection algorithms using long-term speech information.
Speech Commun., 2004

Including uncertainty of speech observations in robust speech recognition.
Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Improved voice activity detection combining noise reduction and subband divergence measures.
Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Voice activity detection with noise reduction and long-term spectral divergence estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A new voice activity detector using subband order-statistics filters for robust speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Area*Time Optimized Hogenauer Channelizer Design Using FPL Devices.
Proceedings of the Field Programmable Logic and Application, 2004

2003
Design and Implementation of High-Performance RNS Wavelet Processors Using Custom IC Technologies.
J. VLSI Signal Process., 2003

Implementation of RNS-Based Distributed Arithmetic Discrete Wavelet Transform Architectures Using Field-Programmable Logic.
J. VLSI Signal Process., 2003

A Fast QRNS-Based Algorithm for the DCT and Its Field-Programmable Logic Implementation.
J. Circuits Syst. Comput., 2003

Improved feature extraction based on spectral noise reduction and nonlinear feature normalization.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

A new adaptive long-term spectral estimation voice activity detector.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Design and Implementation of RNS-Based Adaptive Filters.
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003

2002
A New Methodology for Efficient Synchronization of RNS-Based VLSI Systems.
Proceedings of the Integrated Circuit Design. Power and Timing Modeling, 2002

U. Meyer-Baese, A. Lloris: Fast RNS FPL-based Communications Receiver Design and Implementation.
Proceedings of the Field-Programmable Logic and Applications, 2002

Low Power High Speed Algebraic Integer Frequency Sampling Filters Using FPLDs.
Proceedings of the Field-Programmable Logic and Applications, 2002

2001
Implementation of the one dimensional discrete cosine transform using the residue number system.
Proceedings of the 2001 8th IEEE International Conference on Electronics, 2001

Design of RNS-based distributed arithmetic DWT filterbanks.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A new architecture to compute the discrete cosine transform using the quadratic residue number system.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Analysis of RNS-FPL Synergy for High Throughput DSP Applications: Discrete Wavelet Transform.
Proceedings of the Field-Programmable Logic and Applications, 2000

An efficient RNS architecture for the computation of discrete wavelet transforms on programmable devices.
Proceedings of the 10th European Signal Processing Conference, 2000


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