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Items: 1 to 20 of 70

1.

Machine-learning techniques for building a diagnostic model for very mild dementia.

Chen R, Herskovits EH.

Neuroimage. 2010 Aug 1;52(1):234-44. doi: 10.1016/j.neuroimage.2010.03.084. Epub 2010 Apr 9.

2.

Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition.

Koutsouleris N, Meisenzahl EM, Davatzikos C, Bottlender R, Frodl T, Scheuerecker J, Schmitt G, Zetzsche T, Decker P, Reiser M, Möller HJ, Gaser C.

Arch Gen Psychiatry. 2009 Jul;66(7):700-12. doi: 10.1001/archgenpsychiatry.2009.62.

3.

Multiple instance learning for classification of dementia in brain MRI.

Tong T, Wolz R, Gao Q, Hajnal JV, Rueckert D.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):599-606.

PMID:
24579190
4.

Image-driven population analysis through mixture modeling.

Sabuncu MR, Balci SK, Shenton ME, Golland P.

IEEE Trans Med Imaging. 2009 Sep;28(9):1473-87. doi: 10.1109/TMI.2009.2017942. Epub 2009 Mar 24.

5.

Brain volume, intracranial volume, and dementia.

Bigler ED, Tate DF.

Invest Radiol. 2001 Sep;36(9):539-46.

PMID:
11547042
6.

Spectral clustering as a diagnostic tool in cross-sectional MR studies: an application to mild dementia.

Aljabar P, Rueckert D, Crum WR.

Med Image Comput Comput Assist Interv. 2008;11(Pt 2):442-9.

PMID:
18982635
7.

A universal and efficient method to compute maps from image-based prediction models.

Sabuncu MR.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):353-60.

PMID:
25320819
8.

A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation.

Dittrich E, Riklin Raviv T, Kasprian G, Donner R, Brugger PC, Prayer D, Langs G.

Med Image Anal. 2014 Jan;18(1):9-21. doi: 10.1016/j.media.2013.08.004. Epub 2013 Aug 30.

PMID:
24080527
9.

Computer-automated dementia screening using a touch-tone telephone.

Mundt JC, Ferber KL, Rizzo M, Greist JH.

Arch Intern Med. 2001 Nov 12;161(20):2481-7.

PMID:
11700161
10.

Visualization of nonlinear kernel models in neuroimaging by sensitivity maps.

Rasmussen PM, Madsen KH, Lund TE, Hansen LK.

Neuroimage. 2011 Apr 1;55(3):1120-31. doi: 10.1016/j.neuroimage.2010.12.035. Epub 2010 Dec 17.

PMID:
21168511
11.

Linear measures of atrophy in mild Alzheimer disease.

Frisoni GB, Beltramello A, Weiss C, Geroldi C, Bianchetti A, Trabucchi M.

AJNR Am J Neuroradiol. 1996 May;17(5):913-23.

12.

Frontotemporal dementia and early Alzheimer disease: differentiation with frontal lobe H-1 MR spectroscopy.

Ernst T, Chang L, Melchor R, Mehringer CM.

Radiology. 1997 Jun;203(3):829-36.

PMID:
9169712
13.

[New possibilities for automated diagnosis of dementia].

Klöppel S.

Nervenarzt. 2010 Dec;81(12):1456-9. doi: 10.1007/s00115-010-3104-7. German.

PMID:
21076807
14.

Alteration of white matter MR signal intensity in frontotemporal dementia.

Kitagaki H, Mori E, Hirono N, Ikejiri Y, Ishii K, Imamura T, Ikeda M, Yamaji S, Yamashita H, Shimomura T, Nakagawa Y.

AJNR Am J Neuroradiol. 1997 Feb;18(2):367-78.

15.

A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI.

Wels M, Carneiro G, Aplas A, Huber M, Hornegger J, Comaniciu D.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):67-75.

PMID:
18979733
16.

Midline cerebral morphometry distinguishes frontotemporal dementia and Alzheimer's disease.

Kaufer DI, Miller BL, Itti L, Fairbanks LA, Li J, Fishman J, Kushi J, Cummings JL.

Neurology. 1997 Apr;48(4):978-85.

PMID:
9109887
17.

Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts.

van der Lijn F, den Heijer T, Breteler MM, Niessen WJ.

Neuroimage. 2008 Dec;43(4):708-20. doi: 10.1016/j.neuroimage.2008.07.058. Epub 2008 Aug 12.

PMID:
18761411
18.

Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia.

Kaye JA, Swihart T, Howieson D, Dame A, Moore MM, Karnos T, Camicioli R, Ball M, Oken B, Sexton G.

Neurology. 1997 May;48(5):1297-304.

PMID:
9153461
19.

Computer based classification of MR scans in first time applicant Alzheimer patients.

Polat F, Demirel SO, Kitis O, Simsek F, Haznedaroglu DI, Coburn K, Kumral E, Gonul AS.

Curr Alzheimer Res. 2012 Sep;9(7):789-94.

PMID:
22299620
20.

Evaluation of Alzheimer's disease by analysis of MR images using multilayer perceptrons and Kohonen SOM classifiers as an alternative to the ADC maps.

dos Santos WP, de Souza RE, dos Santos Filho PB.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2118-21.

PMID:
18002406

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