Journal Articles

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Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders IEEE Journal of Biomedical and Health Informatics Vol. Online, No. 0, pp. .

Assisted Diagnosis of {{Parkinsonism}} Based on the Striatal Morphology International Journal of Neural Systems Vol. , pp. .

A {{Machine Learning Approach}} to {{Reveal}} the {{Neuro}}-{{Phenotypes}} of {{Autisms}} International Journal of Neural Systems Vol. , pp. .

On the computation of distribution-free performance bounds: application to small sample sizes in neuroimaging Pattern RecognitionPublisher Website

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling International Journal of Neural Systems Vol. 0, No. 0, pp. 1850040.

Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed? International Journal of Neural Systems In press

Using CT data to improve the quantitative analysis of18F-FBB PET neuroimages Frontiers in Aging Neuroscience Vol. 10, No. JUN, pp. .

Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: Lessons learnt Journal of Neuroscience Methods Vol. 302, pp. 10-13.

Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis Journal of Neuroscience Methods Vol. , pp. .

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 Vol. 302, pp. 47-57.

Discriminative Sparse Features for Alzheimer’s Disease Diagnosis Using Multimodal Image Data Current Alzheimer Research Vol. 15, No. 1, pp. 67--79.

Assessing Mild Cognitive Impairment Progression using a Spherical Brain Mapping of Magnetic Resonance Imaging Journal of Alzheimer's Disease In Press. Article Pre-print

Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson’s Disease Frontiers in Neuroinformatics

Assisting the diagnosis of neurodegenerative disorders using principal component analysis and tensorflow Advances in Intelligent Systems and Computing Vol. 527, pp. 43.

Encoding, preparation and implementation of novel complex verbal instructions NeuroImage Vol. 148, pp. 264-273.

Evaluating Alzheimer’s disease diagnosis using texture analysis Communications in Computer and Information Science Vol. 723, pp. 470-481.

Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes Communications in Computer and Information Science Vol. 723, pp. 459-469.

Learning longitudinal MRI patterns by SICE and deep learning: Assessing the Alzheimer’s disease progression Communications in Computer and Information Science Vol. 723, pp. 413-424.

Case-Based Statistical Learning: A Non-Parametric Implementation with a Conditional-Error Rate SVM IEEE Access Vol. 5, pp. 11468-11478.Open Access

Construction and analysis of weighted brain networks from SICE for the study of Alzheimer’s disease Frontiers in Neuroinformatics Vol. 11, pp. .

P300 brainwave extraction from EEG signals: An unsupervised approach Expert Systems with Applications Vol. 74, pp. 1-10.

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support International Journal of Neural Systems Vol. 27, No. 3, pp. .

A semi-supervised learning approach for model selection based on class-hypothesis testing Expert Systems with Applications Vol. 90, pp. 40--49.

Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution Frontiers in aging neuroscience Vol. 9, pp. 326.

Multivariate analysis of 18F-DMFP PET data to assist the diagnosis of parkinsonism Frontiers in neuroinformatics Vol. 11, pp. 23.

On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis Human Brain Mapping Vol. 38, No. 3, pp. 1208-1223

Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases Frontiers in Neuroinformatics Vol. 11, pp. 65.

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI Frontiers in Neuroinformatics 2017, Vol. 11, No. 8, pp. 66.

Ensemble tree learning techniques for magnetic resonance image analysis Smart Innovation, Systems and Technologies Vol. 45, pp. 395-404.

Short-term prediction of MCI to AD conversion based on longitudinal MRI analysis and neuropsychological tests Smart Innovation, Systems and Technologies Vol. 45, pp. 385-394.

Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features Smart Innovation, Systems and Technologies Vol. 60, pp. 249-258.

Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study Current Alzheimer Research Vol. 13, No. 6, pp. 695-707.

Fuzzy computer-aided Alzheimer’s disease diagnosis based on MRI data Current Alzheimer Research Vol. 13, No. 5, pp. 545-556.

Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters Computers in Biology and Medicine Vol. 72, pp. 229-238.

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease International Journal of Neural Systems Vol. 26, No. 7, pp. .

Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning Frontiers in Computational Neuroscience Vol. 10, No. OCT, pp. .

Combining feature extraction methods to assist the diagnosis of alzheimer’s disease Current Alzheimer Research Vol. 13, No. 7, pp. 831-837.

A Spherical Brain Mapping of MR Images for the Detection of Alzheimer’s Disease Current Alzheimer Research Vol. 13, No. 5, pp. 575-588.

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer’s Disease International Journal of Neural Systems Vol. 26, No. 7, pp. 1650024.

An optimal approach for selecting discriminant regions for the diagnosis of alzheimer’s disease Current Alzheimer Research Vol. 13, No. 7, pp. 838-844.

Support for Distinct Subcomponents of Spatial Working Memory: A Double Dissociation between Spatial-Simultaneous and Spatial-Sequential Performance in Unilateral Neglect Cognitive Neuropsychology Vol. 32, No. 1, pp. 14-28.

On the yielding behaviour in magnetorheology using ultrasounds, shear and normal stresses, and optical microscopy Journal of Physics D: Applied Physics Vol. 48, No. 46, pp. .

Distinguishing Parkinson’s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks Frontiers in Computational Neuroscience Vol. 9, No. November, pp. 1-8.

Early diagnosis of Alzheimer’s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images Neurocomputing Vol. 151, No. P1, pp. 139-150.

Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches Neurocomputing Vol. 150, No. Part A, pp. 4-15.

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s disease diagnosis Frontiers in Computational Neuroscience Vol. 9, No. November, pp. 1-18.

Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach Applied Soft Computing Journal Vol. 37, pp. 234-244.

Comparison between different intensity normalization methods in123I-Ioflupane imaging for the automatic detection of Parkinsonism PLoS ONE Vol. 10, No. 6, pp. .

Digital image analysis for automatic enumeration of malaria parasites using morphological operations Expert Systems with Applications Vol. 42, No. 6, pp. 3041-3047.

Building a FP-CIT SPECT Brain Template Using a Posterization Approach Neuroinformatics Vol. 13, No. 4, pp. 391-402.

Visual Neglect: Is There a Relationship between Impaired Spatial Working Memory and Re-Cancellation? Experimental Brain Research Vol. 232, No. 10, pp. 3333-3343.

Cortical and Subcortical Contributions to State- and Strength-Based Perceptual Judgments Neuropsychologia Vol. 64, pp. 145-156.

Advanced computer vision approaches in biomedical image analysis Computational and Mathematical Methods in Medicine Vol. 2014, pp. .

Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering Information Sciences Vol. 262, pp. 117-136.

Combining PET Images and neuropsychological test data for automatic diagnosis of alzheimer’s disease PLoS ONE Vol. 9, No. 2, pp. .

Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI Frontiers in Aging Neuroscience Vol. 6, No. FEB, pp. .

Spatial component analysis of MRI data for Alzheimer’s disease diagnosis: A Bayesian network approach Frontiers in Computational Neuroscience Vol. 8, No. NOV, pp. .

Real time QRS detection based on M-Ary likelihood ratio test on the DFT coefficients PLoS ONE Vol. 9, No. 10, pp. .

Identifying endophenotypes of autism: A multivariate approach Frontiers in Computational Neuroscience Vol. 8, No. JUN, pp. .

Correction: Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients PLoS ONE Vol. 9, No. 12, pp. .

RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation Measurement: Journal of the International Measurement Confederation Vol. 58, pp. 468-475.

Automatic ROI selection in structural brain MRI using SOM 3D projection PLoS ONE Vol. 9, No. 4, pp. e93851.

Parametrization of textural patterns in 123I-ioflupane imaging for the automatic detection of Parkinsonism Medical Physics Vol. 41, No. 1, pp. 012502.

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging Neurocomputing Vol. 126, pp. 58 - 70.

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies Applied Soft Computing Journal Vol. 13, No. 5, pp. 2668-2682.

Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images Expert Systems with Applications Vol. 40, No. 1, pp. 44-51.

Parameterization of the distribution of white and grey matter in MRI using the α-stable distribution Computers in Biology and Medicine Vol. 43, No. 5, pp. 559-567.

Integrating discretization and association rule-based classification for Alzheimer’s disease diagnosis Expert Systems with Applications Vol. 40, No. 5, pp. 1571-1578.

Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine Expert Systems with Applications Vol. 40, No. 2, pp. 677-683.

Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution NeuroImage Vol. 65, pp. 449-455.

Automatic determination of validity of input data used in ellipsoid fitting MARG calibration algorithms Sensors (Switzerland) Vol. 13, No. 9, pp. 11797-11817.

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization Neurocomputing Vol. 114, pp. 118-131.

Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features Information Sciences Vol. 237, pp. 59-72.

Improving the convergence rate in affine registration of PET and SPECT brain images using histogram equalization Computational and Mathematical Methods in Medicine Vol. 2013, pp. .

Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors Computational and Mathematical Methods in Medicine Vol. 2013, pp. .

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease Expert Systems with Applications Vol. 40, No. 7, pp. 2756-2766.

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease Pattern Recognition Letters Vol. 34, No. 14, pp. 1725-1733.

Functional activity maps based on significance measures and Independent Component Analysis Computer Methods and Programs in Biomedicine Vol. 111, No. 1, pp. 255 - 268.

Effective diagnosis of Alzheimers disease by means of large margin-based methodology BMC Medical Informatics and Decision Making Vol. 12, No. 1, pp. .

Improved Parkinsonism diagnosis using a partial least squares based approach Medical Physics Vol. 39, No. 7, pp. 4395-4403.

A comparative study of feature extraction methods for the diagnosis of Alzheimer’s disease using the ADNI database Neurocomputing Vol. 75, No. 1, pp. 64-71.

Effective voxel selection method over FDG-PET database based on association rules Frontiers in Artificial Intelligence and Applications Vol. 243, pp. 2210-2219.

Automatic differentiation between controls and Parkinson’s disease DaTSCAN images using a partial least squares scheme and the fisher discriminant ratio Frontiers in Artificial Intelligence and Applications Vol. 243, pp. 2241-2250.

SPECT computer-aided diagnosis system based on the empirical mode decomposition Frontiers in Artificial Intelligence and Applications Vol. 243, pp. 2220-2231.

Automatic assistance to Parkinsons disease diagnosis in DaTSCAN SPECT imaging Medical Physics Vol. 39, No. 10, pp. 5971-5980.

Association rule-based feature selection method for Alzheimer’s disease diagnosis Expert Systems with Applications Vol. 39, No. 14, pp. 11766-11774.

Functional brain image classification using association rules defined over discriminant regions Pattern Recognition Letters Vol. 33, No. 12, pp. 1666-1672.

Detection of (In)activity periods in human body motion using inertial sensors: A comparative study Sensors (Switzerland) Vol. 12, No. 5, pp. 5791-5814.

NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer’s disease IEEE Transactions on Medical Imaging Vol. 31, No. 2, pp. 207-216.

Optimized segmentation of brain MRI using GHSOM and evolutive computing Frontiers in Artificial Intelligence and Applications Vol. 243, pp. 2232-2240.

On the empirical mode decomposition applied to the analysis of brain SPECT images Expert Systems with Applications Vol. 39, No. 18, pp. 13451-13461.

Brain connectivity analysis: A short survey Computational Intelligence and Neuroscience Vol. 2012, pp. .

Bilateral symmetry aspects in computer-aided Alzheimer’s disease diagnosis by single-photon emission-computed tomography imaging Artificial Intelligence in Medicine Vol. 56, No. 3, pp. 191-198.

Computer aided diagnosis tool for Alzheimer’s disease based on Mann–Whitney–Wilcoxon U-test Expert Systems with Applications Vol. 39, No.10, pp. 9676-9685

Accurate human limb angle measurement: Sensor fusion through Kalman, least mean squares and recursive least-squares adaptive filtering Measurement Science and Technology Vol. 22, No. 2, pp. .

18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis Information Sciences Vol. 181, No. 4, pp. 903-916.

GMM based SPECT image classification for the diagnosis of Alzheimer’s disease Applied Soft Computing Journal Vol. 11, No. 2, pp. 2313-2325.

Computer aided diagnosis of Alzheimer’s disease using component based SVM Applied Soft Computing Journal Vol. 11, No. 2, pp. 2376-2382.

MR brain image segmentation by growing hierarchical SOM and probability clustering Electronics Letters Vol. 47, No. 10, pp. 585-586.

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer’s disease Neurocomputing Vol. 74, No. 8, pp. 1260-1271.

Two approaches to selecting set of voxels for the diagnosis of Alzheimer’s disease using brain SPECT images Digital Signal Processing: A Review Journal Vol. 21, No. 6, pp. 746-755.

Wagyromag: Wireless sensor network for monitoring and processing human body movement in healthcare applications Journal of Systems Architecture Vol. 57, No. 10, pp. 905-915.

Efficient mining of association rules for the early diagnosis of Alzheimer’s disease Physics in Medicine and Biology Vol. 56, No. 18, pp. 6047-6063.

Feature selection using factor analysis for Alzheimer’s diagnosis using F 18 -FDG PET images Medical Physics Vol. 37, No. 11, pp. 6084-6095.

Computer aided diagnosis system for the Alzheimer’s disease based on partial least squares and random forest SPECT image classification Neuroscience Letters Vol. 472, No. 2, pp. 99-103.

Improved likelihood ratio test based voice activity detector applied to speech recognition Speech Communication Vol. 52, No. 7-8, pp. 664-677.

Alzheimer’s disease detection in functional images using 2D Gabor wavelet analysis Electronics Letters Vol. 46, No. 8, pp. 556-558.

Classification of functional brain images using a GMM-based multi-variate approach Neuroscience Letters Vol. 474, No. 1, pp. 58-62.

Erratum: Alzheimer’s disease detection in functional images using 2D Gabor wavelet analysis (Electronics Letters (2010) 46:8 (556-558)) Electronics Letters Vol. 46, No. 14, pp. 1038.

Computer-aided diagnosis of Alzheimer’s disease using support vector machines and classification trees Physics in Medicine and Biology Vol. 55, No. 10, pp. 2807-2817.

Analysis of SPECT brain images for the diagnosis of Alzheimer’s disease based on NMF for feature extraction Neuroscience Letters Vol. 479, No. 3, pp. 192-196.

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer’s disease Pattern Recognition Letters Vol. 31, No. 11, pp. 1342-1347.

A novel LMS algorithm applied to adaptive noise cancellation IEEE Signal Processing Letters Vol. 16, No. 1, pp. 34-37.

Alzheimer’s diagnosis using eigenbrains and support vector machines Electronics Letters Vol. 45, No. 7, pp. 342-343.

Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithm Journal of the Acoustical Society of America Vol. 124, No. 6, pp. 3669-3683.

Automatic tool for Alzheimer’s disease diagnosis using PCA and Bayesian classification rules Electronics Letters Vol. 45, No. 8, pp. 389-391.

Automatic selection of ROIs in functional imaging using Gaussian mixture models Neuroscience Letters Vol. 460, No. 2, pp. 108-111.

SPECT image classification using random forests Electronics Letters Vol. 45, No. 12, pp. 604-605.

SVM-based computer-aided diagnosis of the Alzheimer’s disease using t-test NMSE feature selection with feature correlation weighting Neuroscience Letters Vol. 461, No. 3, pp. 293-297.

Analysis of SPECT brain images for the diagnosis of Alzheimer’s disease using moments and support vector machines Neuroscience Letters Vol. 461, No. 1, pp. 60-64.

SVM-based CAD system for early detection of the Alzheimer’s disease using kernel PCA and LDA Neuroscience Letters Vol. 464, No. 3, pp. 233-238.

Jointly gaussian pdf-based likelihood ratio test for voice activity detection IEEE Transactions on Audio, Speech and Language Processing Vol. 16, No. 8, pp. 1565-1578.

Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images Electronics Letters Vol. 44, No. 22, pp. 1291-1292.

Hybridizing sparse component analysis with genetic algorithms for microarray analysis Neurocomputing Vol. 71, No. 10-12, pp. 2356-2376.

Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks Chemosphere Vol. 70, No. 7, pp. 1190-1195.

Continuous HMM-based seismic-event classification at deception Island, Antarctica IEEE Transactions on Geoscience and Remote Sensing Vol. 45, No. 1, pp. 138-146.

Effect of friction between particles in the dynamic response of model magnetic structures Journal of Colloid and Interface Science Vol. 316, No. 2, pp. 867-876.

Improved voice activity detection using contextual multiple hypothesis testing for robust speech recognition IEEE Transactions on Audio, Speech and Language Processing Vol. 15, No. 8, pp. 2177-2189.

Statistical voice activity detection based on integrated bispectrum likelihood ratio tests for robust speech recognition Journal of the Acoustical Society of America Vol. 121, No. 5, pp. 2946-2958.

Effective jointly pdf-based voice activity detector for real-time applications Electronics Letters Vol. 43, No. 4, pp. 251-253.

Wavelets and wavelet packets applied to detect and characterize transient alarm signals from termites Measurement: Journal of the International Measurement Confederation Vol. 39, No. 6, pp. 553-564.

SVM-based speech endpoint detection using contextual speech features Electronics Letters Vol. 42, No. 7, pp. 426-428.

Speech/non-speech discrimination based on contextual information integrated bispectrum LRT IEEE Signal Processing Letters Vol. 13, No. 8, pp. 497-500.

Optimizing blind source separation with guided genetic algorithms Neurocomputing Vol. 69, No. 13-15, pp. 1442-1457.

Denoising using local projective subspace methods Neurocomputing Vol. 69, No. 13-15, pp. 1485-1501.

An effective cluster-based model for robust speech detection and speech recognition in noisy environments Journal of the Acoustical Society of America Vol. 120, No. 1, pp. 470-481.

Hard C-means clustering for voice activity detection Speech Communication Vol. 48, No. 12, pp. 1638-1649.

Generalized LRT-based voice activity detector IEEE Signal Processing Letters Vol. 13, No. 10, pp. 636-639.

Maximization of statistical moments for blind separation of sources revisited Neurocomputing Vol. 69, No. 13-15, pp. 1425-1434.

A genetic algorithm for solving BSS-ICA Advances in Soft Computing Vol. 34, pp. 389-398.

Efficient RNS-based design of programmable fir filters targeting FPL technology Journal of Circuits, Systems and Computers Vol. 14, No. 1, pp. 165-177.

An effective subband OSF-based VAD with noise reduction for robust speech recognition IEEE Transactions on Speech and Audio Processing Vol. 13, No. 6, pp. 1119-1129.

Statistical voice activity detection using a multiple observation likelihood ratio test IEEE Signal Processing Letters Vol. 12, No. 10, pp. 689-692.

Cost-effective Hogenauer cascaded integrator comb decimator filter design for custom ICs Electronics Letters Vol. 41, No. 3, pp. 158-160.

Improved MO-LRT VAD based on bispectra Gaussian model Electronics Letters Vol. 41, No. 15, pp. 877-879.

A new Kullback-Leibler VAD for speech recognition in noise IEEE Signal Processing Letters Vol. 11, No. 2 PART II, pp. 266-269.

Cepstral domain segmental nonlinear feature transformations for robust speech recognition IEEE Signal Processing Letters Vol. 11, No. 5, pp. 517-520.

Efficient voice activity detection algorithms using long-term speech information Speech Communication Vol. 42, No. 3-4, pp. 271-287.

Higher-order statistics to detect and characterise termite emissions Electronics Letters Vol. 40, No. 20, pp. 1316-1318.

A new model for time-series forecasting using radial basis functions and exogenous data Neural Computing and Applications Vol. 13, No. 2, pp. 101-111.

Implementation of RNS-based distributed arithmetic discrete wavelet transform architectures using field-programmable logic Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology Vol. 33, No. 1-2, pp. 171-190.

A fast QRNS-based algorithm for the DCT and its field-programmable logic implementation Journal of Circuits, Systems and Computers Vol. 12, No. 1, pp. 111-123.

Optimal Multi-Step Linear Feedback Shift Register Design Frequenz Vol. 57, No. 11-12, pp. 248-253.

Design and implementation of high-performance RNS wavelet processors using custom IC technologies Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology Vol. 34, No. 3, pp. 227-237.

RNS-enabled digital signal processor design Electronics Letters Vol. 38, No. 6, pp. 266-268.

High performance, reduced complexity programmable RNS-FPL merged FIR filters Electronics Letters Vol. 38, No. 4, pp. 199-200.

Design of RNS-based distributed arithmetic DWT filterbanks ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2, pp. 1193-1196.

Fast RNS-based 2D-DCT computation on field-programmable devices IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation Vol. , pp. 365-373.

RNS-FPL merged architectures for orthogonal DWT Electronics Letters Vol. 36, No. 14, pp. 1198-1199.