Publicaciones (24) Publicaciones de Maite Termenon Conde

2023

  1. Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury

    Brain Communications, Vol. 5, Núm. 6

  2. Multifrequency bioimpedance device based on the Analog Discovery 2: Performance and characterization

    Current Directions in Biomedical Engineering, Vol. 9, Núm. 1, pp. 536-539

2021

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

    NeuroImage, Vol. 233

2020

  1. Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2017

  1. Low-dimensional morphospace of topological motifs in human fMRI brain networks

    Network Neuroscience, Vol. 2, Núm. 2, pp. 285-302

2016

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

    Neurocomputing, Vol. 174, pp. 344-351

  2. Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project

    NeuroImage, Vol. 142, pp. 172-187

  3. The “hub disruption index,” a reliable index sensitive to the brain networks reorganization. A study of the contralesional hemisphere in stroke

    Frontiers in Computational Neuroscience, Vol. 10, Núm. AUG

2015

  1. SOM-ELM-Self-Organized Clustering using ELM

    Neurocomputing, Vol. 165, pp. 238-254

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

2011

  1. Alzheimer disease classification on diffusion weighted imaging features

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

  2. Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson's correlation

    Neuroscience Letters, Vol. 502, Núm. 3, pp. 225-229