Yi-Ou Li
According to our database1,
Yi-Ou Li
authored at least 21 papers
between 2004 and 2014.
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Bibliography
2014
Stochastic geometric network models for groups of functional and structural connectomes.
NeuroImage, 2014
2013
NeuroImage, 2013
Resting-State Networks and the Functional Connectome of the Human Brain in Agenesis of the Corpus Callosum.
Brain Connect., 2013
2012
J. Signal Process. Syst., 2012
Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis.
J. Signal Process. Syst., 2012
2010
IEEE Trans. Signal Process., 2010
IEEE Signal Process. Mag., 2010
NeuroImage, 2010
Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.
NeuroImage, 2010
Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
IEEE Trans. Signal Process., 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia.
IEEE J. Sel. Top. Signal Process., 2008
Examining associations between FMRI and EEG data using canonical correlation analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
CCA for joint blind source separation of multiple datasets with application to group FMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Int. J. Biomed. Imaging, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Independent Component Analysis of Complex-Valued Functional Magnetic Resonance Imaging Data by Complex Nonlinearities.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004