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Items: 1 to 20 of 95

1.

Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue.

Aganj I, Sapiro G, Parikshak N, Madsen SK, Thompson PM.

Hum Brain Mapp. 2009 Oct;30(10):3188-99. doi: 10.1002/hbm.20740.

2.

SEGMENTATION-FREE MEASURING OF CORTICAL THICKNESS FROM MRI.

Aganj I, Sapiro G, Parikshak N, Madsen SK, Thompson PM.

Proc IEEE Int Symp Biomed Imaging. 2008 May;2008:1625-1628.

3.

Voxel-based cortical thickness measurements in MRI.

Hutton C, De Vita E, Ashburner J, Deichmann R, Turner R.

Neuroimage. 2008 May 1;40(4):1701-10. doi: 10.1016/j.neuroimage.2008.01.027. Epub 2008 Feb 1.

4.

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.

Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8.

PMID:
22008371
5.

Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR.

Acosta O, Bourgeat P, Fripp J, Bonner E, Ourselin S, Salvado O.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):253-61.

PMID:
18979755
6.

Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease.

Arimura H, Tokunaga C, Yoshiura T, Ohara T, Yamashita Y, Toyofuku F.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:7116-9. doi: 10.1109/EMBC.2013.6611198.

PMID:
24111385
7.

Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease.

Acosta O, Fripp J, Doré V, Bourgeat P, Favreau JM, Chételat G, Rueda A, Villemagne VL, Szoeke C, Ames D, Ellis KA, Martins RN, Masters CL, Rowe CC, Bonner E, Gris F, Xiao D, Raniga P, Barra V, Salvado O.

J Neurosci Methods. 2012 Mar 30;205(1):96-109. doi: 10.1016/j.jneumeth.2011.12.011. Epub 2011 Dec 29.

8.

Longitudinal cortical thickness estimation using Khalimsky's cubic complex.

Cardoso MJ, Clarkson MJ, Modat M, Ourselin S.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):467-75.

PMID:
21995062
9.

Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.

Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y.

Acad Radiol. 2008 Mar;15(3):274-84. doi: 10.1016/j.acra.2007.10.020.

PMID:
18280925
10.

Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment.

Chételat G, Desgranges B, De La Sayette V, Viader F, Eustache F, Baron JC.

Neuroreport. 2002 Oct 28;13(15):1939-43.

PMID:
12395096
11.

Increased sensitivity to effects of normal aging and Alzheimer's disease on cortical thickness by adjustment for local variability in gray/white contrast: a multi-sample MRI study.

Westlye LT, Walhovd KB, Dale AM, Espeseth T, Reinvang I, Raz N, Agartz I, Greve DN, Fischl B, Fjell AM.

Neuroimage. 2009 Oct 1;47(4):1545-57. doi: 10.1016/j.neuroimage.2009.05.084. Epub 2009 Jun 6.

12.

Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI.

MacDonald D, Kabani N, Avis D, Evans AC.

Neuroimage. 2000 Sep;12(3):340-56.

PMID:
10944416
13.

Topology-corrected segmentation and local intensity estimates for improved partial volume classification of brain cortex in MRI.

Rueda A, Acosta O, Couprie M, Bourgeat P, Fripp J, Dowson N, Romero E, Salvado O.

J Neurosci Methods. 2010 May 15;188(2):305-15. doi: 10.1016/j.jneumeth.2010.02.020. Epub 2010 Mar 1.

14.

Cortical surface reconstruction via unified Reeb analysis of geometric and topological outliers in magnetic resonance images.

Shi Y, Lai R, Toga AW; Alzheimer’s Disease Neuroimaging Initiative.

IEEE Trans Med Imaging. 2013 Mar;32(3):511-30.

15.

Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment.

Westman E, Aguilar C, Muehlboeck JS, Simmons A.

Brain Topogr. 2013 Jan;26(1):9-23. doi: 10.1007/s10548-012-0246-x. Epub 2012 Aug 14.

16.

Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging.

Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, van der Grond J.

Pediatr Res. 2008 Feb;63(2):158-63.

PMID:
18091357
17.

In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease.

Baron JC, Chételat G, Desgranges B, Perchey G, Landeau B, de la Sayette V, Eustache F.

Neuroimage. 2001 Aug;14(2):298-309.

PMID:
11467904
18.

Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia.

Thompson PM, Hayashi KM, Sowell ER, Gogtay N, Giedd JN, Rapoport JL, de Zubicaray GI, Janke AL, Rose SE, Semple J, Doddrell DM, Wang Y, van Erp TG, Cannon TD, Toga AW.

Neuroimage. 2004;23 Suppl 1:S2-18. Review.

PMID:
15501091
19.

Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia.

Du AT, Schuff N, Kramer JH, Rosen HJ, Gorno-Tempini ML, Rankin K, Miller BL, Weiner MW.

Brain. 2007 Apr;130(Pt 4):1159-66. Epub 2007 Mar 12.

20.

Comparing gray matter loss profiles between dementia with Lewy bodies and Alzheimer's disease using cortical pattern matching: diagnosis and gender effects.

Ballmaier M, O'Brien JT, Burton EJ, Thompson PM, Rex DE, Narr KL, McKeith IG, DeLuca H, Toga AW.

Neuroimage. 2004 Sep;23(1):325-35.

PMID:
15325380

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