Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 185

1.

Probabilistic independent component analysis for functional magnetic resonance imaging.

Beckmann CF, Smith SM.

IEEE Trans Med Imaging. 2004 Feb;23(2):137-52.

PMID:
14964560
2.

fMRI data analysis with nonstationary noise models: a Bayesian approach.

Luo H, Puthusserypady S.

IEEE Trans Biomed Eng. 2007 Sep;54(9):1621-30.

PMID:
17867354
3.

Fully Bayesian spatio-temporal modeling of FMRI data.

Woolrich MW, Jenkinson M, Brady JM, Smith SM.

IEEE Trans Med Imaging. 2004 Feb;23(2):213-31.

PMID:
14964566
4.

Effect of spatial alignment transformations in PCA and ICA of functional neuroimages.

Lukic AS, Wernick MN, Yang Y, Hansen LK, Arfanakis K, Strother SC.

IEEE Trans Med Imaging. 2007 Aug;26(8):1058-68.

PMID:
17695126
5.
6.

Multivariate group effect analysis in functional Magnetic Resonance Imaging.

Benali H, Mattout J, Pélégrini-Issac M.

Inf Process Med Imaging. 2003 Jul;18:548-59.

PMID:
15344487
7.

Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization.

Brookings T, Ortigue S, Grafton S, Carlson J.

Neuroimage. 2009 Jan 15;44(2):411-20. doi: 10.1016/j.neuroimage.2008.08.043. Epub 2008 Sep 23.

PMID:
18845263
8.

Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data.

Faisan S, Thoraval L, Armspach JP, Heitz F.

Med Image Anal. 2007 Feb;11(1):1-20. Epub 2006 Nov 9.

PMID:
17097334
9.

Optimizing ICA in fMRI using information on spatial regularities of the sources.

Valente G, De Martino F, Filosa G, Balsi M, Formisano E.

Magn Reson Imaging. 2009 Oct;27(8):1110-9. doi: 10.1016/j.mri.2009.05.036. Epub 2009 Jun 30.

PMID:
19570634
10.

Analyzing consistency of independent components: an fMRI illustration.

Ylipaavalniemi J, Vigário R.

Neuroimage. 2008 Jan 1;39(1):169-80. Epub 2007 Aug 28.

PMID:
17931888
11.

Unmixing fMRI with independent component analysis.

Calhoun VD, Adali T.

IEEE Eng Med Biol Mag. 2006 Mar-Apr;25(2):79-90. Review. No abstract available.

PMID:
16568940
12.
13.

Model-independent method for fMRI analysis.

Soltanian-Zadeh H, Peck DJ, Hearshen DO, Lajiness-O'Neill RR.

IEEE Trans Med Imaging. 2004 Mar;23(3):285-96.

PMID:
15027521
14.

Parcellation of fMRI datasets with ICA and PLS--a data driven approach.

Ji Y, Hervé PY, Aickelin U, Pitiot A.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):984-91.

PMID:
20426084
15.

Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used?

Esposito F, Formisano E, Seifritz E, Goebel R, Morrone R, Tedeschi G, Di Salle F.

Hum Brain Mapp. 2002 Jul;16(3):146-57.

PMID:
12112768
16.

Classification of fMRI time series in a low-dimensional subspace with a spatial prior.

Meyer FG, Shen X.

IEEE Trans Med Imaging. 2008 Jan;27(1):87-98. doi: 10.1109/TMI.2007.903251.

PMID:
18270065
17.

Model-free fMRI group analysis using FENICA.

Schöpf V, Windischberger C, Robinson S, Kasess CH, Fischmeister FP, Lanzenberger R, Albrecht J, Kleemann AM, Kopietz R, Wiesmann M, Moser E.

Neuroimage. 2011 Mar 1;55(1):185-93. doi: 10.1016/j.neuroimage.2010.11.010. Epub 2010 Nov 13.

PMID:
21078400
18.

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.

Faisan S, Thoraval L, Armspach JP, Metz-Lutz MN, Heitz F.

IEEE Trans Med Imaging. 2005 Feb;24(2):263-76.

PMID:
15707252
19.

Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis.

Calhoun VD, Adali T, Stevens MC, Kiehl KA, Pekar JJ.

Neuroimage. 2005 Apr 1;25(2):527-38.

PMID:
15784432
20.

Delay correlation subspace decomposition algorithm and its application in fMRI.

Chen H, Yao D, Chen W, Chen L.

IEEE Trans Med Imaging. 2005 Dec;24(12):1647-51.

PMID:
16350921

Supplemental Content

Support Center