Publicaciones en colaboración con investigadores/as de Universidad del País Vasco/Euskal Herriko Unibertsitatea (24)

2024

  1. Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection

    Medical Image Analysis, Vol. 91

2022

  1. Enhanced top-down sensorimotor processing in somatic anxiety

    Translational Psychiatry, Vol. 12, Núm. 1

  2. Lag-Optimized Blood Oxygenation Level Dependent Cerebrovascular Reactivity Estimates Derived From Breathing Task Data Have a Stronger Relationship With Baseline Cerebral Blood Flow

    Frontiers in Neuroscience, Vol. 16

2021

  1. A low rank and sparse paradigm free mapping algorithm for deconvolution of FMRI data

    Proceedings - International Symposium on Biomedical Imaging

  2. A practical modification to a resting state fMRI protocol for improved characterization of cerebrovascular function

    NeuroImage, Vol. 239

  3. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

    Neuron, Vol. 109, Núm. 11, pp. 1769-1775

  4. ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI

    NeuroImage, Vol. 233

2020

  1. Phonatory and articulatory representations of speech production in cortical and subcortical fMRI responses

    Scientific Reports, Vol. 10, Núm. 1

2019

  1. Closing eyes during auditory memory retrieval modulates alpha rhythm but does not alter tau rhythm

    NeuroImage, Vol. 197, pp. 60-68

2018

  1. Neural correlates of phonological, orthographic and semantic reading processing in dyslexia

    NeuroImage: Clinical, Vol. 20, pp. 433-447

2016

  1. Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification

    Neurocomputing, Vol. 174, pp. 344-351

2013

  1. Cocaine dependent classification on MRI data extracting features from voxel based morphometry

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Diagnosis of bipolar disorder based on principal component analysis and SVM

    Advances in Intelligent Systems and Computing

  3. Extreme learning machines for feature selection and classification of cocaine dependent patients on structural MRI data

    Neural Processing Letters, Vol. 38, Núm. 3, pp. 375-387

  4. Impact of Circularity Analysis on Classification Results: A Case Study in the Detection of Cocaine Addiction Using Structural MRI

    Communications in Computer and Information Science

  5. Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification

    Neurocomputing, Vol. 114, pp. 132-141

2012

  1. A two stage sequential ensemble applied to the classification of Alzheimer's disease based on MRI features

    Neural Processing Letters, Vol. 35, Núm. 1, pp. 1-12

  2. Cocaine dependent classification using brain magnetic resonance imaging

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Discovering Alzheimer's disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging features

    Neuroscience Letters, Vol. 520, Núm. 1, pp. 71-76

  4. Impact of analysis circularity: A case study in cocaine addiction detection on MRI

    Frontiers in Artificial Intelligence and Applications