Journal Articles

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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,Pending

Case-based statistical learning: a non-parametric implementation with a conditional-error rate SVM, IEEE Access, Vol. 5, pp. 11468–11478.

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.

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.

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

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.

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.

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