Ge T - Search Results

1

Massively expedited genome-wide heritability analysis (MEGHA).

Ge T, Nichols TE, Lee PH, Holmes AJ, Roffman JL, Buckner RL, Sabuncu MR, Smoller JW. Ge T, et al. Proc Natl Acad Sci U S A. 2015 Feb 24;112(8):2479-84. doi: 10.1073/pnas.1415603112. Epub 2015 Feb 9. Proc Natl Acad Sci U S A. 2015. PMID: 25675487 Free PMC article.

2

BEaST: brain extraction based on nonlocal segmentation technique.

Eskildsen SF, Coupé P, Fonov V, Manjón JV, Leung KK, Guizard N, Wassef SN, Østergaard LR, Collins DL; Alzheimer's Disease Neuroimaging Initiative. Eskildsen SF, et al. Neuroimage. 2012 Feb 1;59(3):2362-73. doi: 10.1016/j.neuroimage.2011.09.012. Epub 2011 Sep 16. Neuroimage. 2012. PMID: 21945694 Free article.

3

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.

Cho Y, Seong JK, Jeong Y, Shin SY; Alzheimer's Disease Neuroimaging Initiative. Cho Y, et al. Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8. Neuroimage. 2012. PMID: 22008371 Free PMC article.

4

Localized hippocampus measures are associated with Alzheimer pathology and cognition independent of total hippocampal volume.

Carmichael O, Xie J, Fletcher E, Singh B, DeCarli C; Alzheimer's Disease Neuroimaging Initiative. Carmichael O, et al. Neurobiol Aging. 2012 Jun;33(6):1124.e31-41. doi: 10.1016/j.neurobiolaging.2011.08.016. Epub 2011 Dec 14. Neurobiol Aging. 2012. PMID: 22169204 Free PMC article.

5

Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures.

Ge T, Feng J, Hibar DP, Thompson PM, Nichols TE. Ge T, et al. Neuroimage. 2012 Nov 1;63(2):858-73. doi: 10.1016/j.neuroimage.2012.07.012. Epub 2012 Jul 16. Neuroimage. 2012. PMID: 22800732 Free PMC article.

6

Genetics of the connectome.

Thompson PM, Ge T, Glahn DC, Jahanshad N, Nichols TE. Thompson PM, et al. Among authors: ge t. Neuroimage. 2013 Oct 15;80:475-88. doi: 10.1016/j.neuroimage.2013.05.013. Epub 2013 May 21. Neuroimage. 2013. PMID: 23707675 Free PMC article. Review.

7

ANALYSIS OF MULTIPLE SCLEROSIS LESIONS VIA SPATIALLY VARYING COEFFICIENTS.

Ge T, Müller-Lenke N, Bendfeldt K, Nichols TE, Johnson TD. Ge T, et al. Ann Appl Stat. 2014;8(2):1095-1118. doi: 10.1214/14-aoas718. Ann Appl Stat. 2014. PMID: 25431633 Free PMC article.

8

Spatial modeling of multiple sclerosis for disease subtype prediction.

Taschler B, Ge T, Bendfeldt K, Müller-Lenke N, Johnson TD, Nichols TE. Taschler B, et al. Among authors: ge t. Med Image Comput Comput Assist Interv. 2014;17(Pt 2):797-804. doi: 10.1007/978-3-319-10470-6_99. Med Image Comput Comput Assist Interv. 2014. PMID: 25485453

9

A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application.

Ge T, Nichols TE, Ghosh D, Mormino EC, Smoller JW, Sabuncu MR; Alzheimer's Disease Neuroimaging Initiative. Ge T, et al. Neuroimage. 2015 Apr 1;109:505-514. doi: 10.1016/j.neuroimage.2015.01.029. Epub 2015 Jan 16. Neuroimage. 2015. PMID: 25600633 Free PMC article.

10

Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain.

Krienen FM, Yeo BT, Ge T, Buckner RL, Sherwood CC. Krienen FM, et al. Among authors: ge t. Proc Natl Acad Sci U S A. 2016 Jan 26;113(4):E469-78. doi: 10.1073/pnas.1510903113. Epub 2016 Jan 6. Proc Natl Acad Sci U S A. 2016. PMID: 26739559 Free PMC article.

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