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Items: 1 to 20 of 31

1.

Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database.

Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehéricy S, Habert MO, Chupin M, Benali H, Colliot O; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 May 15;56(2):766-81. doi: 10.1016/j.neuroimage.2010.06.013. Epub 2010 Jun 11.

PMID:
20542124
2.

Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI.

Chupin M, Gérardin E, Cuingnet R, Boutet C, Lemieux L, Lehéricy S, Benali H, Garnero L, Colliot O; Alzheimer's Disease Neuroimaging Initiative.

Hippocampus. 2009 Jun;19(6):579-87. doi: 10.1002/hipo.20626.

3.

Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.

Magnin B, Mesrob L, Kinkingnéhun S, Pélégrini-Issac M, Colliot O, Sarazin M, Dubois B, Lehéricy S, Benali H.

Neuroradiology. 2009 Feb;51(2):73-83. doi: 10.1007/s00234-008-0463-x. Epub 2008 Oct 10.

PMID:
18846369
4.

Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database.

Nestor SM, Rupsingh R, Borrie M, Smith M, Accomazzi V, Wells JL, Fogarty J, Bartha R; Alzheimer's Disease Neuroimaging Initiative.

Brain. 2008 Sep;131(Pt 9):2443-54. doi: 10.1093/brain/awn146. Epub 2008 Jul 11.

5.

The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals.

Dickerson BC, Bakkour A, Salat DH, Feczko E, Pacheco J, Greve DN, Grodstein F, Wright CI, Blacker D, Rosas HD, Sperling RA, Atri A, Growdon JH, Hyman BT, Morris JC, Fischl B, Buckner RL.

Cereb Cortex. 2009 Mar;19(3):497-510. doi: 10.1093/cercor/bhn113. Epub 2008 Jul 16.

6.

Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus.

Colliot O, Chételat G, Chupin M, Desgranges B, Magnin B, Benali H, Dubois B, Garnero L, Eustache F, Lehéricy S.

Radiology. 2008 Jul;248(1):194-201. doi: 10.1148/radiol.2481070876. Epub 2008 May 5.

PMID:
18458242
7.

Focal posterior cingulate atrophy in incipient Alzheimer's disease.

Pengas G, Hodges JR, Watson P, Nestor PJ.

Neurobiol Aging. 2010 Jan;31(1):25-33. doi: 10.1016/j.neurobiolaging.2008.03.014. Epub 2008 May 2.

PMID:
18455838
8.

Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.

Fan Y, Resnick SM, Wu X, Davatzikos C.

Neuroimage. 2008 Jun;41(2):277-85. doi: 10.1016/j.neuroimage.2008.02.043. Epub 2008 Mar 6.

9.

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Jack CR Jr, Bernstein MA, Fox NC, Thompson P, Alexander G, Harvey D, Borowski B, Britson PJ, L Whitwell J, Ward C, Dale AM, Felmlee JP, Gunter JL, Hill DL, Killiany R, Schuff N, Fox-Bosetti S, Lin C, Studholme C, DeCarli CS, Krueger G, Ward HA, Metzger GJ, Scott KT, Mallozzi R, Blezek D, Levy J, Debbins JP, Fleisher AS, Albert M, Green R, Bartzokis G, Glover G, Mugler J, Weiner MW.

J Magn Reson Imaging. 2008 Apr;27(4):685-91. doi: 10.1002/jmri.21049.

10.

Automatic classification of MR scans in Alzheimer's disease.

Klöppel S, Stonnington CM, Chu C, Draganski B, Scahill RI, Rohrer JD, Fox NC, Jack CR Jr, Ashburner J, Frackowiak RS.

Brain. 2008 Mar;131(Pt 3):681-9. doi: 10.1093/brain/awm319. Epub 2008 Jan 17.

11.

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.

Fan Y, Batmanghelich N, Clark CM, Davatzikos C; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2008 Feb 15;39(4):1731-43. Epub 2007 Nov 1.

12.

COMPARE: classification of morphological patterns using adaptive regional elements.

Fan Y, Shen D, Gur RC, Gur RE, Davatzikos C.

IEEE Trans Med Imaging. 2007 Jan;26(1):93-105.

PMID:
17243588
13.

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging.

Davatzikos C, Fan Y, Wu X, Shen D, Resnick SM.

Neurobiol Aging. 2008 Apr;29(4):514-23. Epub 2006 Dec 14.

14.

Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls.

Lerch JP, Pruessner J, Zijdenbos AP, Collins DL, Teipel SJ, Hampel H, Evans AC.

Neurobiol Aging. 2008 Jan;29(1):23-30. Epub 2006 Nov 13.

PMID:
17097767
15.

Small-world brain networks.

Bassett DS, Bullmore E.

Neuroscientist. 2006 Dec;12(6):512-23. Review.

PMID:
17079517
16.

The fornix and mammillary bodies in older adults with Alzheimer's disease, mild cognitive impairment, and cognitive complaints: a volumetric MRI study.

Copenhaver BR, Rabin LA, Saykin AJ, Roth RM, Wishart HA, Flashman LA, Santulli RB, McHugh TL, Mamourian AC.

Psychiatry Res. 2006 Oct 30;147(2-3):93-103. Epub 2006 Aug 22.

PMID:
16920336
17.

Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM.

Fan Y, Shen D, Davatzikos C.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):1-8.

PMID:
16685822
18.

A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs.

Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E.

J Neurosci. 2006 Jan 4;26(1):63-72.

19.

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
20.

Morphological classification of brains via high-dimensional shape transformations and machine learning methods.

Lao Z, Shen D, Xue Z, Karacali B, Resnick SM, Davatzikos C.

Neuroimage. 2004 Jan;21(1):46-57.

PMID:
14741641

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