Diego Vidaurre

According to our database, Diego Vidaurre authored at least 31 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

The relationship between frequency content and representational dynamics in the decoding of neurophysiological data.

Cameron Higgins, Mats W. J. van Es, Andrew J. Quinn, Diego Vidaurre, Mark W. Woolrich

NeuroImage, 2022

Data and model considerations for estimating time-varying functional connectivity in fMRI.

C. Ahrends, Angus Stevner, Usama Pervaiz, Morten L. Kringelbach, Peter Vuust, Mark W. Woolrich, Diego Vidaurre

NeuroImage, 2022

Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations.

Usama Pervaiz, Diego Vidaurre, Chetan Gohil, Stephen M. Smith, Mark W. Woolrich

Medical Image Anal., 2022

2021

A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation.

Diego Vidaurre

PLoS Comput. Biol., 2021

Behavioural relevance of spontaneous, transient brain network interactions in fMRI.

Diego Vidaurre, Alberto Llera, Stephen M. Smith, Mark W. Woolrich

NeuroImage, 2021

Learning patterns of the ageing brain in MRI using deep convolutional networks.

Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith, Zobair Arya, Diego Vidaurre, Mark Jenkinson, Ana I. L. Namburete

NeuroImage, 2021

2020

The role of transient spectral 'bursts' in functional connectivity: A magnetoencephalography study.

Zelekha A. Seedat, Andrew J. Quinn, Diego Vidaurre, Lucrezia Liuzzi, Lauren E. Gascoyne, Benjamin A. E. Hunt, George C. O'Neill, Daisie O. Pakenham, Karen J. Mullinger, Peter G. Morris, Mark W. Woolrich, Matthew J. Brookes

NeuroImage, 2020

Optimising network modelling methods for fMRI.

Usama Pervaiz, Diego Vidaurre, Mark W. Woolrich, Stephen M. Smith

NeuroImage, 2020

Spontaneous network activity.

Jan Hirschmann, Sylvain Baillet, Mark W. Woolrich, Alfons Schnitzler, Diego Vidaurre, Esther Florin

NeuroImage, 2020

Transient spectral events in resting state MEG predict individual task responses.

Robert Becker, Diego Vidaurre, Andrew J. Quinn, Romesh G. Abeysuriya, Owen Parker Jones, Saâd Jbabdi, Mark W. Woolrich

NeuroImage, 2020

2019

Estimation of brain age delta from brain imaging.

Stephen M. Smith, Diego Vidaurre, Fidel Alfaro-Almagro, Thomas E. Nichols, Karla L. Miller

NeuroImage, 2019

A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates.

Borbála Hunyadi, Mark W. Woolrich, Andrew J. Quinn, Diego Vidaurre, Maarten De Vos

NeuroImage, 2019

2018

Discovering dynamic brain networks from big data in rest and task.

Diego Vidaurre, Romesh G. Abeysuriya, Robert Becker, Andrew J. Quinn, Fidel Alfaro-Almagro, Stephen M. Smith, Mark W. Woolrich

NeuroImage, 2018

Dynamics of large-scale electrophysiological networks: A technical review.

George C. O'Neill, Prejaas Tewarie, Diego Vidaurre, Lucrezia Liuzzi, Mark W. Woolrich, Matthew J. Brookes

NeuroImage, 2018

Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.

Fidel Alfaro-Almagro, Mark Jenkinson, Neal K. Bangerter, Jesper L. R. Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N. Sotiropoulos, Saâd Jbabdi, Moisés Hernández-Fernández, Emmanuel Vallée, Diego Vidaurre, Matthew A. Webster, Paul McCarthy, Christopher Rorden, Alessandro Daducci, Daniel C. Alexander, Hui Zhang, Iulius Dragonu, Paul M. Matthews, Karla L. Miller, Stephen M. Smith

NeuroImage, 2018

Testing group differences in state transition structure of dynamic functional connectivity models.

Søren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.

Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Decoding Movement States in Stepping Cycles Based on Subthalamic LFPs in Parkinsonian Patients.

Huiling Tan, Petra Fischer, Syed Ahmar Shah, Diego Vidaurre, Mark W. Woolrich, Peter Brown

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016

Spectrally resolved fast transient brain states in electrophysiological data.

Diego Vidaurre, Andrew J. Quinn, Adam P. Baker, David Dupret, Álvaro Tejero-Cantero, Mark W. Woolrich

NeuroImage, 2016

2015

Multi-level block permutation.

Anderson M. Winkler, Matthew A. Webster, Diego Vidaurre, Thomas E. Nichols, Stephen M. Smith

NeuroImage, 2015

2014

Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment.

José Angel Pineda-Pardo, Ricardo Bruña, Mark William Woolrich, Alberto Marcos Dolado, Anna Christina Nobre, Fernando Maestú, Diego Vidaurre

NeuroImage, 2014

2013

Bayesian Sparse Partial Least Squares.

Diego Vidaurre, Marcel A. J. van Gerven, Concha Bielza, Pedro Larrañaga, Tom Heskes

Neural Comput., 2013

Classification of neural signals from sparse autoregressive features.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

Neurocomputing, 2013

An L₁-Regularized naïVE Bayes-Inspired Classifier for Discarding Redundant and Irrelevant Predictors.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

Int. J. Artif. Intell. Tools, 2013

Sparse regularized local regression.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

Comput. Stat. Data Anal., 2013

2012

Regularization for sparsity in statistical analysis and machine learning.

Diego Vidaurre

PhD thesis, 2012

Forward stagewise naïve Bayes.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

Prog. Artif. Intell., 2012

SOMwise regression: a new clusterwise regression method.

Jorge Muruzábal, Diego Vidaurre, Julián Sánchez

Neural Comput. Appl., 2012

Lazy lasso for local regression.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

Comput. Stat., 2012

2010

Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space.

Diego Vidaurre, Concha Bielza, Pedro Larrañaga

IEEE Trans. Syst. Man Cybern. Part B, 2010

2007

A Quick Assessment of Topology Preservation for SOM Structures.

Diego Vidaurre, Jorge Muruzábal

IEEE Trans. Neural Networks, 2007