139 related articles for article (PubMed ID: 22609453)
1. Biological parametric mapping accounting for random regressors with regression calibration and model II regression.
Yang X; Lauzon CB; Crainiceanu C; Caffo B; Resnick SM; Landman BA
Neuroimage; 2012 Sep; 62(3):1761-8. PubMed ID: 22609453
[TBL] [Abstract][Full Text] [Related]
2. Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging.
Yang X; Lauzon CB; Crainiceanu C; Caffo B; Resnick SM; Landman BA
Multimodal Brain Image Anal (2011); 2011; 7012():1-9. PubMed ID: 25346952
[TBL] [Abstract][Full Text] [Related]
3. Biological parametric mapping with robust and non-parametric statistics.
Yang X; Beason-Held L; Resnick SM; Landman BA
Neuroimage; 2011 Jul; 57(2):423-30. PubMed ID: 21569856
[TBL] [Abstract][Full Text] [Related]
4. Quantitative evaluation of statistical inference in resting state functional MRI.
Yang X; Kang H; Newton A; Landman BA
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):246-53. PubMed ID: 23286055
[TBL] [Abstract][Full Text] [Related]
5. Modeling and inference of multisubject fMRI data.
Mumford JA; Nichols T
IEEE Eng Med Biol Mag; 2006; 25(2):42-51. PubMed ID: 16568936
[No Abstract] [Full Text] [Related]
6. Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.
Casanova R; Srikanth R; Baer A; Laurienti PJ; Burdette JH; Hayasaka S; Flowers L; Wood F; Maldjian JA
Neuroimage; 2007 Jan; 34(1):137-43. PubMed ID: 17070709
[TBL] [Abstract][Full Text] [Related]
7. A combined SPM-ICA approach to fMRI.
Penney TJ; Koles ZJ
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():723-6. PubMed ID: 17946854
[TBL] [Abstract][Full Text] [Related]
8. Mixtures of general linear models for functional neuroimaging.
Penny W; Friston K
IEEE Trans Med Imaging; 2003 Apr; 22(4):504-14. PubMed ID: 12774896
[TBL] [Abstract][Full Text] [Related]
9. High level group analysis of FMRI data based on Dirichlet process mixture models.
Thirion B; Tucholka A; Keller M; Pinel P; Roche A; Mangin JF; Poline JB
Inf Process Med Imaging; 2007; 20():482-94. PubMed ID: 17633723
[TBL] [Abstract][Full Text] [Related]
10. MACS - a new SPM toolbox for model assessment, comparison and selection.
Soch J; Allefeld C
J Neurosci Methods; 2018 Aug; 306():19-31. PubMed ID: 29842901
[TBL] [Abstract][Full Text] [Related]
11. Adjusting the neuroimaging statistical inferences for nonstationarity.
Salimi-Khorshidi G; Smith SM; Nichols TE
Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):992-9. PubMed ID: 20426085
[TBL] [Abstract][Full Text] [Related]
12. Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series.
Gopinath K; Krishnamurthy V; Lacey S; Sathian K
Brain Connect; 2018 Feb; 8(1):10-21. PubMed ID: 29161884
[TBL] [Abstract][Full Text] [Related]
13. How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection.
Soch J; Haynes JD; Allefeld C
Neuroimage; 2016 Nov; 141():469-489. PubMed ID: 27477536
[TBL] [Abstract][Full Text] [Related]
14. Multi-parametric neuroimaging reproducibility: a 3-T resource study.
Landman BA; Huang AJ; Gifford A; Vikram DS; Lim IA; Farrell JA; Bogovic JA; Hua J; Chen M; Jarso S; Smith SA; Joel S; Mori S; Pekar JJ; Barker PB; Prince JL; van Zijl PC
Neuroimage; 2011 Feb; 54(4):2854-66. PubMed ID: 21094686
[TBL] [Abstract][Full Text] [Related]
15. Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging.
Brown DA; Lazar NA; Datta GS; Jang W; McDowell JE
Neuroimage; 2014 Jan; 84():97-112. PubMed ID: 23981437
[TBL] [Abstract][Full Text] [Related]
16. The bootstrap and cross-validation in neuroimaging applications: estimation of the distribution of extrema of random fields for single volume tests, with an application to ADC maps.
Viviani R; Beschoner P; Jaeckle T; Hipp P; Kassubek J; Schmitz B
Hum Brain Mapp; 2007 Oct; 28(10):1075-88. PubMed ID: 17266105
[TBL] [Abstract][Full Text] [Related]
17. Application of statistical parametric mapping to SPET in the assessment of intractable childhood epilepsy.
Bruggemann JM; Som SS; Lawson JA; Haindl W; Cunningham AM; Bye AM
Eur J Nucl Med Mol Imaging; 2004 Mar; 31(3):369-77. PubMed ID: 14647983
[TBL] [Abstract][Full Text] [Related]
18. Nonparametric permutation tests for functional neuroimaging: a primer with examples.
Nichols TE; Holmes AP
Hum Brain Mapp; 2002 Jan; 15(1):1-25. PubMed ID: 11747097
[TBL] [Abstract][Full Text] [Related]
19. Computational anatomy with the SPM software.
Ashburner J
Magn Reson Imaging; 2009 Oct; 27(8):1163-74. PubMed ID: 19249168
[TBL] [Abstract][Full Text] [Related]
20. Linking functional and structural brain images with multivariate network analyses: a novel application of the partial least square method.
Chen K; Reiman EM; Huan Z; Caselli RJ; Bandy D; Ayutyanont N; Alexander GE
Neuroimage; 2009 Aug; 47(2):602-10. PubMed ID: 19393744
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
