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Diego Vidaurre
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2020 – today
- 2022
- [j27]Usama Pervaiz, Diego Vidaurre, Chetan Gohil, Stephen M. Smith, Mark W. Woolrich:
Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations. Medical Image Anal. 77: 102366 (2022) - [j26]C. Ahrends
, Angus Stevner
Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage 252: 119026 (2022) - [j25]Cameron Higgins
The relationship between frequency content and representational dynamics in the decoding of neurophysiological data. NeuroImage 260: 119462 (2022) - 2021
- [j24]Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith
Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage 224: 117401 (2021) - [j23]Diego Vidaurre
Behavioural relevance of spontaneous, transient brain network interactions in fMRI. NeuroImage 229: 117713 (2021) - [j22]Diego Vidaurre
A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation. PLoS Comput. Biol. 17(4) (2021) - 2020
- [j21]Jan Hirschmann, Sylvain Baillet, Mark W. Woolrich
Spontaneous network activity. NeuroImage 207 (2020) - [j20]Zelekha A. Seedat
The role of transient spectral 'bursts' in functional connectivity: A magnetoencephalography study. NeuroImage 209: 116537 (2020) - [j19]Usama Pervaiz, Diego Vidaurre, Mark W. Woolrich
Optimising network modelling methods for fMRI. NeuroImage 211: 116604 (2020) - [j18]Robert Becker, Diego Vidaurre, Andrew J. Quinn
Transient spectral events in resting state MEG predict individual task responses. NeuroImage 215: 116818 (2020)
2010 – 2019
- 2019
- [j17]Borbála Hunyadi
A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. NeuroImage 185: 72-82 (2019) - [j16]Stephen M. Smith
Estimation of brain age delta from brain imaging. NeuroImage 200: 528-539 (2019) - 2018
- [j15]Fidel Alfaro-Almagro
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank. NeuroImage 166: 400-424 (2018) - [j14]George C. O'Neill
Dynamics of large-scale electrophysiological networks: A technical review. NeuroImage 180(Part): 559-576 (2018) - [j13]Diego Vidaurre
Discovering dynamic brain networks from big data in rest and task. NeuroImage 180(Part): 646-656 (2018) - [c3]Huiling Tan, Petra Fischer
Decoding Movement States in Stepping Cycles Based on Subthalamic LFPs in Parkinsonian Patients. EMBC 2018: 1384-1387 - [c2]Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP 2018: 2566-2570 - [c1]Søren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen
Testing group differences in state transition structure of dynamic functional connectivity models. PRNI 2018: 1-4 - 2016
- [j12]Diego Vidaurre
Spectrally resolved fast transient brain states in electrophysiological data. NeuroImage 126: 81-95 (2016) - 2015
- [j11]Anderson M. Winkler
Multi-level block permutation. NeuroImage 123: 253-268 (2015) - 2014
- [j10]José Angel Pineda-Pardo
Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment. NeuroImage 101: 765-777 (2014) - 2013
- [j9]Diego Vidaurre, Concha Bielza
Sparse regularized local regression. Comput. Stat. Data Anal. 62: 122-135 (2013) - [j8]Diego Vidaurre, Concha Bielza
An L1-Regularized naïVE Bayes-Inspired Classifier for Discarding Redundant and Irrelevant Predictors. Int. J. Artif. Intell. Tools 22(4) (2013) - [j7]Diego Vidaurre, Concha Bielza
Classification of neural signals from sparse autoregressive features. Neurocomputing 111: 21-26 (2013) - [j6]Diego Vidaurre
Bayesian Sparse Partial Least Squares. Neural Comput. 25(12): 3318-3339 (2013) - 2012
- [b1]Diego Vidaurre:
Regularization for sparsity in statistical analysis and machine learning. Technical University of Madrid, Spain, 2012 - [j5]Diego Vidaurre, Concha Bielza
Lazy lasso for local regression. Comput. Stat. 27(3): 531-550 (2012) - [j4]Jorge Muruzábal, Diego Vidaurre, Julián Sánchez:
SOMwise regression: a new clusterwise regression method. Neural Comput. Appl. 21(6): 1229-1241 (2012) - [j3]Diego Vidaurre, Concha Bielza
Forward stagewise naïve Bayes. Prog. Artif. Intell. 1(1): 57-69 (2012) - 2010
- [j2]Diego Vidaurre
Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1231-1242 (2010)
2000 – 2009
- 2007
- [j1]Diego Vidaurre
A Quick Assessment of Topology Preservation for SOM Structures. IEEE Trans. Neural Networks 18(5): 1524-1528 (2007)
Coauthor Index
aka: Mark William Woolrich
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