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Items: 1 to 20 of 97

1.

Fully Bayesian inference for structural MRI: application to segmentation and statistical analysis of T2-hypointensities.

Schmidt P, Schmid VJ, Gaser C, Buck D, Bührlen S, Förschler A, Mühlau M.

PLoS One. 2013 Jul 17;8(7):e68196. doi: 10.1371/journal.pone.0068196. Print 2013.

2.

T2 hypointensity in the deep gray matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study.

Bakshi R, Benedict RH, Bermel RA, Caruthers SD, Puli SR, Tjoa CW, Fabiano AJ, Jacobs L.

Arch Neurol. 2002 Jan;59(1):62-8.

PMID:
11790232
3.

Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities.

Glatz A, Bastin ME, Kiker AJ, Deary IJ, Wardlaw JM, Valdés Hernández MC.

Neuroimage. 2015 Jan 15;105:332-46. doi: 10.1016/j.neuroimage.2014.10.001. Epub 2014 Oct 14.

4.

Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects.

Glatz A, Valdés Hernández MC, Kiker AJ, Bastin ME, Deary IJ, Wardlaw JM.

Neuroimage. 2013 Nov 15;82:470-80. doi: 10.1016/j.neuroimage.2013.06.013. Epub 2013 Jun 12.

5.

Bayesian mixture models of variable dimension for image segmentation.

Ferreira da Silva AR.

Comput Methods Programs Biomed. 2009 Apr;94(1):1-14. doi: 10.1016/j.cmpb.2008.05.010. Epub 2008 Nov 25.

PMID:
19036468
6.

MRI T2 hypointensity of the dentate nucleus is related to ambulatory impairment in multiple sclerosis.

Tjoa CW, Benedict RH, Weinstock-Guttman B, Fabiano AJ, Bakshi R.

J Neurol Sci. 2005 Jul 15;234(1-2):17-24. Epub 2005 Apr 22.

PMID:
15993137
7.

Bayesian semiparametric intensity estimation for inhomogeneous spatial point processes.

Yue YR, Loh JM.

Biometrics. 2011 Sep;67(3):937-46. doi: 10.1111/j.1541-0420.2010.01531.x. Epub 2010 Dec 22.

PMID:
21175553
8.

Bayesian inference.

Bois FY.

Methods Mol Biol. 2013;930:597-636. doi: 10.1007/978-1-62703-059-5_25. Review.

PMID:
23086859
9.

Lesion segmentation from multimodal MRI using random forest following ischemic stroke.

Mitra J, Bourgeat P, Fripp J, Ghose S, Rose S, Salvado O, Connelly A, Campbell B, Palmer S, Sharma G, Christensen S, Carey L.

Neuroimage. 2014 Sep;98:324-35. doi: 10.1016/j.neuroimage.2014.04.056. Epub 2014 May 2.

PMID:
24793830
10.

[Meta-analysis of the Italian studies on short-term effects of air pollution].

Biggeri A, Bellini P, Terracini B; Italian MISA Group.

Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

PMID:
11515188
11.

Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.

Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC.

Neuroimage. 2005 Oct 15;28(1):84-98. Epub 2005 Jul 15.

PMID:
16023866
12.

Automated segmentation of neuroanatomical structures in multispectral MR microscopy of the mouse brain.

Ali AA, Dale AM, Badea A, Johnson GA.

Neuroimage. 2005 Aug 15;27(2):425-35.

PMID:
15908233
13.

Bayesian inference for latent biologic structure with determinantal point processes (DPP).

Xu Y, Müller P, Telesca D.

Biometrics. 2016 Sep;72(3):955-64. doi: 10.1111/biom.12482. Epub 2016 Feb 12.

14.

Utilizing Gaussian Markov random field properties of Bayesian animal models.

Steinsland I, Jensen H.

Biometrics. 2010 Sep;66(3):763-71. doi: 10.1111/j.1541-0420.2009.01336.x.

PMID:
19817739
15.

Cognitive impairment is associated with subcortical magnetic resonance imaging grey matter T2 hypointensity in multiple sclerosis.

Brass SD, Benedict RH, Weinstock-Guttman B, Munschauer F, Bakshi R.

Mult Scler. 2006 Aug;12(4):437-44.

PMID:
16900757
16.

A unified Bayesian hierarchical model for MRI tissue classification.

Feng D, Liang D, Tierney L.

Stat Med. 2014 Apr 15;33(8):1349-68.

PMID:
24738112
17.

A Bayesian approach to DNA sequence segmentation.

Boys RJ, Henderson DA.

Biometrics. 2004 Sep;60(3):573-81; discussion 581-8.

PMID:
15339274
18.

MBIS: multivariate Bayesian image segmentation tool.

Esteban O, Wollny G, Gorthi S, Ledesma-Carbayo MJ, Thiran JP, Santos A, Bach-Cuadra M.

Comput Methods Programs Biomed. 2014 Jul;115(2):76-94. doi: 10.1016/j.cmpb.2014.03.003. Epub 2014 Apr 3.

PMID:
24768617
19.

Bayesian extrapolation of space-time trends in cancer registry data.

Schmid V, Held L.

Biometrics. 2004 Dec;60(4):1034-42.

PMID:
15606424
20.

Gray matter T2 hypointensity is related to plaques and atrophy in the brains of multiple sclerosis patients.

Bakshi R, Dmochowski J, Shaikh ZA, Jacobs L.

J Neurol Sci. 2001 Mar 15;185(1):19-26.

PMID:
11266686

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