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Items: 1 to 20 of 94

1.

Nonlinear spatial normalization using basis functions.

Ashburner J, Friston KJ.

Hum Brain Mapp. 1999;7(4):254-66.

PMID:
10408769
2.

Development and evaluation of MRI based Bayesian image reconstruction methods for PET.

Wang CH, Chen JC, Liu RS.

Comput Med Imaging Graph. 2004 Jun;28(4):177-84.

PMID:
15121207
3.

High-dimensional image registration using symmetric priors.

Ashburner J, Andersson JL, Friston KJ.

Neuroimage. 1999 Jun;9(6 Pt 1):619-28.

PMID:
10334905
4.

Classical and Bayesian inference in neuroimaging: applications.

Friston KJ, Glaser DE, Henson RN, Kiebel S, Phillips C, Ashburner J.

Neuroimage. 2002 Jun;16(2):484-512.

PMID:
12030833
5.

A nonparametric bayesian approach to detecting spatial activation patterns in fMRI data.

Kim S, Smyth P, Stern H.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):217-24.

PMID:
17354775
6.

Bayesian fMRI data analysis with sparse spatial basis function priors.

Flandin G, Penny WD.

Neuroimage. 2007 Feb 1;34(3):1108-25. Epub 2006 Dec 5.

PMID:
17157034
7.

Comparison of spatial normalization procedures and their impact on functional maps.

Crivello F, Schormann T, Tzourio-Mazoyer N, Roland PE, Zilles K, Mazoyer BM.

Hum Brain Mapp. 2002 Aug;16(4):228-50.

PMID:
12112765
8.

Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.

de Pasquale F, Del Gratta C, Romani GL.

Neuroimage. 2008 Aug 1;42(1):99-111. doi: 10.1016/j.neuroimage.2008.04.235. Epub 2008 Apr 29.

PMID:
18538586
9.

Evaluation of octree regional spatial normalization method for regional anatomical matching.

Kochunov P, Lancaster J, Thompson P, Boyer A, Hardies J, Fox P.

Hum Brain Mapp. 2000 Nov;11(3):193-206.

PMID:
11098797
10.

Assessment of spatial normalization of PET ligand images using ligand-specific templates.

Meyer JH, Gunn RN, Myers R, Grasby PM.

Neuroimage. 1999 May;9(5):545-53.

PMID:
10329294
11.

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.

Makni S, Idier J, Vincent T, Thirion B, Dehaene-Lambertz G, Ciuciu P.

Neuroimage. 2008 Jul 1;41(3):941-69. doi: 10.1016/j.neuroimage.2008.02.017. Epub 2008 Feb 26.

12.

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E.

Neuroimage. 2008 Oct 15;43(1):44-58. doi: 10.1016/j.neuroimage.2008.06.037. Epub 2008 Jul 11.

PMID:
18672070
13.

Bayesian fMRI time series analysis with spatial priors.

Penny WD, Trujillo-Barreto NJ, Friston KJ.

Neuroimage. 2005 Jan 15;24(2):350-62.

PMID:
15627578
14.

Anatomically informed basis functions in multisubject studies.

Kiebel S, Friston KJ.

Hum Brain Mapp. 2002 May;16(1):36-46.

PMID:
11870925
15.

Classical and Bayesian inference in neuroimaging: theory.

Friston KJ, Penny W, Phillips C, Kiebel S, Hinton G, Ashburner J.

Neuroimage. 2002 Jun;16(2):465-83.

16.

Spatial normalization of brain images with focal lesions using cost function masking.

Brett M, Leff AP, Rorden C, Ashburner J.

Neuroimage. 2001 Aug;14(2):486-500.

PMID:
11467921
17.

Nonlinear local electrovascular coupling. II: From data to neuronal masses.

Riera JJ, Jimenez JC, Wan X, Kawashima R, Ozaki T.

Hum Brain Mapp. 2007 Apr;28(4):335-54.

PMID:
16933303
18.

Image registration using a symmetric prior--in three dimensions.

Ashburner J, Andersson JL, Friston KJ.

Hum Brain Mapp. 2000 Apr;9(4):212-25.

PMID:
10770230
19.
20.

Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

Thirion B, Flandin G, Pinel P, Roche A, Ciuciu P, Poline JB.

Hum Brain Mapp. 2006 Aug;27(8):678-93.

PMID:
16281292

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