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Items: 1 to 20 of 55

1.

Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes.

Casanova R, Espeland MA, Goveas JS, Davatzikos C, Gaussoin SA, Maldjian JA, Brunner RL, Kuller LH, Johnson KC, Mysiw WJ, Wagner B, Resnick SM; Women's Health Initiative Memory Study..

Magn Reson Imaging. 2011 May;29(4):546-53. doi: 10.1016/j.mri.2010.12.001.

2.

Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population.

Hinrichs C, Singh V, Xu G, Johnson SC; Alzheimers Disease Neuroimaging Initiative..

Neuroimage. 2011 Mar 15;55(2):574-89. doi: 10.1016/j.neuroimage.2010.10.081.

3.

Spatially regularized SVM for the detection of brain areas associated with stroke outcome.

Cuingnet R, Rosso C, Lehéricy S, Dormont D, Benali H, Samson Y, Colliot O.

Med Image Comput Comput Assist Interv. 2010;13(Pt 1):316-23.

PMID:
20879246
4.

A reproducible evaluation of ANTs similarity metric performance in brain image registration.

Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC.

Neuroimage. 2011 Feb 1;54(3):2033-44. doi: 10.1016/j.neuroimage.2010.09.025.

5.

Regularization Paths for Generalized Linear Models via Coordinate Descent.

Friedman J, Hastie T, Tibshirani R.

J Stat Softw. 2010;33(1):1-22.

6.

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.

PMID:
20542124
7.

Sparse logistic regression for whole-brain classification of fMRI data.

Ryali S, Supekar K, Abrams DA, Menon V.

Neuroimage. 2010 Jun;51(2):752-64. doi: 10.1016/j.neuroimage.2010.02.040.

8.

In vivo structural neuroanatomy of corpus callosum in Alzheimer's disease and mild cognitive impairment using different MRI techniques: a review.

Di Paola M, Spalletta G, Caltagirone C.

J Alzheimers Dis. 2010;20(1):67-95. doi: 10.3233/JAD-2010-1370. Review.

PMID:
20164572
9.

Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization.

Petersen RC, Aisen PS, Beckett LA, Donohue MC, Gamst AC, Harvey DJ, Jack CR Jr, Jagust WJ, Shaw LM, Toga AW, Trojanowski JQ, Weiner MW.

Neurology. 2010 Jan 19;74(3):201-9. doi: 10.1212/WNL.0b013e3181cb3e25.

10.

Development of a new tool to correlate stroke outcome with infarct topography: a proof-of-concept study.

Phan TG, Chen J, Donnan G, Srikanth V, Wood A, Reutens DC.

Neuroimage. 2010 Jan 1;49(1):127-33. doi: 10.1016/j.neuroimage.2009.07.067.

PMID:
19660556
11.

Evaluating the impact of spatio-temporal smoothness constraints on the BOLD hemodynamic response function estimation: an analysis based on Tikhonov regularization.

Casanova R, Yang L, Hairston WD, Laurienti PJ, Maldjian JA.

Physiol Meas. 2009 May;30(5):N37-51. doi: 10.1088/0967-3334/30/5/N01.

12.

Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.

Davatzikos C, Xu F, An Y, Fan Y, Resnick SM.

Brain. 2009 Aug;132(Pt 8):2026-35. doi: 10.1093/brain/awp091.

13.

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

Klein A, Andersson J, Ardekani BA, Ashburner J, Avants B, Chiang MC, Christensen GE, Collins DL, Gee J, Hellier P, Song JH, Jenkinson M, Lepage C, Rueckert D, Thompson P, Vercauteren T, Woods RP, Mann JJ, Parsey RV.

Neuroimage. 2009 Jul 1;46(3):786-802. doi: 10.1016/j.neuroimage.2008.12.037.

14.

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.

Cheng CW, Su EC, Hwang JK, Sung TY, Hsu WL.

BMC Bioinformatics. 2008 Dec 12;9 Suppl 12:S6. doi: 10.1186/1471-2105-9-S12-S6.

15.

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.

PMID:
18846369
16.

Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns.

Yamashita O, Sato MA, Yoshioka T, Tong F, Kamitani Y.

Neuroimage. 2008 Oct 1;42(4):1414-29. doi: 10.1016/j.neuroimage.2008.05.050.

18.

Mapping progressive brain structural changes in early Alzheimer's disease and mild cognitive impairment.

Apostolova LG, Thompson PM.

Neuropsychologia. 2008;46(6):1597-612. doi: 10.1016/j.neuropsychologia.2007.10.026. Review.

19.

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.

20.

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.

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