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Results: 1 to 20 of 104

Similar articles for PubMed (Select 22551084)

1.

Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates.

Skup M, Zhu H, Zhang H.

Biometrics. 2012 Dec;68(4):1083-92. doi: 10.1111/j.1541-0420.2012.01767.x. Epub 2012 May 2.

2.

MARM: multiscale adaptive regression models for neuroimaging data.

Zhu H, Li Y, Ibrahim JG, Lin W, Shen D.

Inf Process Med Imaging. 2009;21:314-25.

3.

Fast and accurate modelling of longitudinal and repeated measures neuroimaging data.

Guillaume B, Hua X, Thompson PM, Waldorp L, Nichols TE; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Jul 1;94:287-302. doi: 10.1016/j.neuroimage.2014.03.029. Epub 2014 Mar 18.

4.

Temporally-constrained group sparse learning for longitudinal data analysis.

Zhang D, Liu J, Shen D.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):264-71.

5.

Spatially adaptive mixture modeling for analysis of FMRI time series.

Vincent T, Risser L, Ciuciu P.

IEEE Trans Med Imaging. 2010 Apr;29(4):1059-74. doi: 10.1109/TMI.2010.2042064. Epub 2010 Mar 25.

PMID:
20350840
6.

A longitudinal functional analysis framework for analysis of white matter tract statistics.

Yuan Y, Gilmore JH, Geng X, Styner MA, Chen K, Wang JL, Zhu H.

Inf Process Med Imaging. 2013;23:220-31.

7.

Tensor-based morphometry with mappings parameterized by stationary velocity fields in Alzheimer's disease neuroimaging initiative.

Bossa MN, Zacur E, Olmos S.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):240-7.

PMID:
20426118
8.

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.

Li Y, Gilmore JH, Shen D, Styner M, Lin W, Zhu H.

Neuroimage. 2013 May 15;72:91-105. doi: 10.1016/j.neuroimage.2013.01.034. Epub 2013 Jan 26.

9.

Bayesian spatial transformation models with applications in neuroimaging data.

Miranda MF, Zhu H, Ibrahim JG.

Biometrics. 2013 Dec;69(4):1074-83. doi: 10.1111/biom.12085. Epub 2013 Oct 15.

10.

Analysis of serial magnetic resonance images of mouse brains using image registration.

Maheswaran S, Barjat H, Bate ST, Aljabar P, Hill DL, Tilling L, Upton N, James MF, Hajnal JV, Rueckert D.

Neuroimage. 2009 Feb 1;44(3):692-700. doi: 10.1016/j.neuroimage.2008.10.016. Epub 2008 Oct 29.

PMID:
19015039
11.

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 1;84:97-112. doi: 10.1016/j.neuroimage.2013.08.024. Epub 2013 Aug 24.

PMID:
23981437
12.

Discerning mild cognitive impairment and Alzheimer Disease from normal aging: morphologic characterization based on univariate and multivariate models.

Liao W, Long X, Jiang C, Diao Y, Liu X, Zheng H, Zhang L; Alzheimer's Disease Neuroimaging Initiative.

Acad Radiol. 2014 May;21(5):597-604. doi: 10.1016/j.acra.2013.12.001. Epub 2014 Jan 13.

PMID:
24433704
13.

Simultaneous fine and coarse diffeomorphic registration: application to atrophy measurement in Alzheimer's disease.

Risser L, Vialard FX, Wolz R, Holm DD, Rueckert D.

Med Image Comput Comput Assist Interv. 2010;13(Pt 2):610-7.

PMID:
20879366
14.

Brain extraction based on locally linear representation-based classification.

Huang M, Yang W, Jiang J, Wu Y, Zhang Y, Chen W, Feng Q; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 May 15;92:322-39. doi: 10.1016/j.neuroimage.2014.01.059. Epub 2014 Feb 10.

PMID:
24525169
15.

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.

16.

Multi-modality canonical feature selection for Alzheimer's disease diagnosis.

Zhu X, Suk HI, Shen D.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):162-9.

PMID:
25485375
17.

A hierarchical geodesic model for diffeomorphic longitudinal shape analysis.

Singh N, Hinkle J, Joshi S, Fletcher PT.

Inf Process Med Imaging. 2013;23:560-71.

PMID:
24683999
18.
19.

Max-margin based learning for discriminative Bayesian network from neuroimaging data.

Zhou L, Wang L, Liu L, Ogunbona P, Shen D.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):321-8.

PMID:
25320815
20.

Large deformation image classification using generalized locality-constrained linear coding.

Zhang P, Wee CY, Niethammer M, Shen D, Yap PT.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):292-9.

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