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Deirel Paz-Linares
Deirel Paz-Linares
University of Electronic Science and Technology of China
Verified email at neuroinformatics-collaboratory.org - Homepage
Title
Cited by
Cited by
Year
Brain charts for the human lifespan
RAI Bethlehem, J Seidlitz, SR White, JW Vogel, KM Anderson, ...
Nature 604 (7906), 525-533, 2022
6492022
Spatio temporal EEG source imaging with the hierarchical bayesian elastic net and elitist lasso models
D Paz-Linares, M Vega-Hernandez, PA Rojas-Lopez, ...
Frontiers in neuroscience 11, 635, 2017
422017
Joint China-Cuba Laboratory for Frontier Research in Translational Neurotechnology
PA Valdes-Sosa
China, 2016
21*2016
An age-adjusted EEG source classifier accurately detects school-aged barbadian children that had protein energy malnutrition in the first year of life
ML Bringas Vega, Y Guo, Q Tang, FA Razzaq, A Calzada Reyes, P Ren, ...
Frontiers in neuroscience 13, 476889, 2019
202019
Harmonized-multinational qeeg norms (harmnqeeg)
M Li, Y Wang, C Lopez-Naranjo, S Hu, RCG Reyes, D Paz-Linares, ...
NeuroImage 256, 119190, 2022
182022
EECoG-comp: an open source platform for concurrent EEG/ECoG comparisons—applications to connectivity studies
Q Wang, PA Valdés-Hernández, D Paz-Linares, J Bosch-Bayard, ...
Brain topography 32, 550-568, 2019
182019
Caulking the Leakage Effect in MEEG Source Connectivity Analysis
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, R Wang, ...
arXiv preprint arXiv:1810.00786, 2018
13*2018
Third generation MEEG source connectivity analysis toolbox (BC-VARETA 1.0) and validation benchmark
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, R Wang, ...
arXiv preprint arXiv:1810.11212, 2018
12*2018
Neural Connectivity with Hidden Gaussian Graphical State-Model
PAVS D Paz-Linares, E Gonzalez-Moreira, J Bosch-Bayard, A Areces-Gonzalez, M ...
arXiv preprint arXiv:1810.01174, 2018
10*2018
Bottom-up control of leakage in spectral electrophysiological source imaging via structured sparse bayesian learning
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, Y Wang, M Li, ...
BioRxiv, 2020.02. 25.964684, 2020
72020
A longitudinal resource for population neuroscience of school-age children and adolescents in China
XR Fan, YS Wang, D Chang, N Yang, MJ Rong, Z Zhang, Y He, X Hou, ...
Scientific data 10 (1), 545, 2023
32023
Minimizing the distortions in electrophysiological source imaging of cortical oscillatory activity via Spectral Structured Sparse Bayesian Learning
D Paz-Linares, E Gonzalez-Moreira, A Areces-Gonzalez, M Li, Y Wang, ...
Frontiers in Neuroscience 17, 234, 2023
32023
Who's driving? The default mode network in healthy elderly individuals at risk of cognitive decline
M González-López, E Gonzalez-Moreira, A Areces-González, ...
Frontiers in Neurology 13, 1009574, 2022
32022
Auto-QCLF: A quick and reliable EEG lead field quality control for big databases
MLB Vega, U Riaz, FA Razzaq, AA Gonzalez, DP Linares, PV Sosa
International Journal of Psychophysiology 168, S183-S184, 2021
22021
Are Sources of EEG and MEG rhythmic activity the same? An analysis based on BC-VARETA
U Riaz, FA Razzaq, D Paz-Linares, A Areces-Gonzalez, S Huang, ...
22019
Multimodal pipeline for HCP-compatible processing and registration of legacy datasets (MRI, MEG, and EEG)
AA Gonzalez, D Paz-Linares, U Riaz, M Li, Y Wang, MY Kpiebaareh, ...
Authorea Preprints, 2023
12023
Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG
D Paz-Linares, E Gonzalez-Moreira, A Areces-Gonzalez, Y Wang, M Li, ...
Scientific Reports 13 (1), 11466, 2023
12023
Automatic quality control of the numerical accuracy of EEG lead fields
U Riaz, FA Razzaq, A Areces-Gonzalez, MC Piastra, MLB Vega, ...
NeuroImage 273, 120091, 2023
12023
Multivariate Intrinsic Local Polynomial Regression on Isometric Riemannian Manifolds: Applications to Positive Definite Data
RG Reyes, Y Wang, M Li, MO Ortega, D Paz-Linares, LG García, ...
arXiv preprint arXiv:2305.01789, 2023
12023
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
Y Wang, M Li, D Paz-Linares, MLB Vega, PA Valdés-Sosa
arXiv preprint arXiv:2204.07716, 2022
12022
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