Jose Miguel Sanchez Bornot
Jose Miguel Sanchez Bornot
PhD in Applied Mathematics
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Cited by
Cited by
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory
Y Iturria-Medina, EJ Canales-Rodríguez, L Melie-García, ...
Neuroimage 36 (3), 645-660, 2007
Estimating brain functional connectivity with sparse multivariate autoregression
PA Valdés-Sosa, JM Sánchez-Bornot, A Lage-Castellanos, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 360 …, 2005
Model driven EEG/fMRI fusion of brain oscillations
PA Valdes‐Sosa, JM Sanchez‐Bornot, RC Sotero, Y Iturria‐Medina, ...
Human brain mapping 30 (9), 2701-2721, 2009
Penalized least squares methods for solving the EEG inverse problem
M Vega-Hernández, E Martinez-Montes, JM Sánchez-Bornot, ...
Statistica Sinica, 1535-1551, 2008
EEG source imaging with spatio‐temporal tomographic nonnegative independent component analysis
PA Valdés‐Sosa, M Vega‐Hernández, JM Sánchez‐Bornot, ...
Human brain mapping 30 (6), 1898-1910, 2009
Exploring event‐related brain dynamics with tests on complex valued time–frequency representations
E Martínez‐Montes, ER Cuspineda‐Bravo, W El‐Deredy, ...
Statistics in medicine 27 (15), 2922-2947, 2008
18 granger causality on spatial manifolds: applications to neuroimaging
PA Valdés-Sosa, JM Bornot-Sánchez, M Vega-Hernández, ...
Handbook of time series analysis: recent theoretical developments and …, 2006
Uncovering sparse brain effective connectivity: a voxel-based approach using penalized regression
JM Sánchez-Bornot, E Martínez-Montes, A Lage-Castellanos, ...
Statistica Sinica, 1501-1518, 2008
Penalized PARAFAC analysis of spontaneous EEG recordings
E Martínez-Montes, JM Sánchez-Bornot, PA Valdés-Sosa
Statistica Sinica, 1449-1464, 2008
Identifying complex brain networks using penalized regression methods
E Martínez-Montes, M Vega-Hernández, JM Sánchez-Bornot, ...
Journal of biological physics 34 (3-4), 315-323, 2008
BEM based solution of forward problem for brain source estimation
MA Jatoi, N Kamel, I Faye, AS Malik, JM Bornot, T Begum
2015 IEEE International Conference on Signal and Image Processing …, 2015
Locally linearized runge kutta method of dormand and prince
JC Jiménez, A Sotolongo, JM Sanchez-Bornot
Applied Mathematics and Computation 247, 589-606, 2014
Mammogram classification using dynamic time warping
SJS Gardezi, I Faye, JMS Bornot, N Kamel, M Hussain
Multimedia Tools and Applications 77 (3), 3941-3962, 2018
EEG‐based brain source localization using visual stimuli
MA Jatoi, N Kamel, AS Malik, I Faye, JM Bornot, T Begum
International Journal of Imaging Systems and Technology 26 (1), 55-64, 2016
Weighted-permutation entropy as complexity measure for electroencephalographic time series of different physiological states
PL Vuong, AS Malik, J Bornot
2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 979-984, 2014
M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
S Yang, JMS Bornot, K Wong-Lin, G Prasad
IEEE Transactions on Biomedical Engineering 66 (10), 2924-2935, 2019
Robust EEG/MEG based functional connectivity with the envelope of the imaginary coherence: sensor space analysis
JMS Bornot, KF Wong-Lin, AL Ahmad, G Prasad
Brain topography 31 (6), 895-916, 2018
Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge
H Cecotti, A Barachant, JR King, JS Bornot, G Prasad
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
Cross-frequency interactions during information flow in complex brain networks are facilitated by scale-free properties
RC Sotero, L Sanchez-Rodriguez, M Dousty, Y Iturria-Medina, JS Bornot
Frontiers in Physics, 2019
An MEG based BCI for classification of multi-direction wrist movements using empirical mode decomposition
P Gaur, JS Bornot, G Prasad, H Wang, RB Pachori
MEG UK 2016, 2016
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