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sfikas mr
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efikas-mr
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Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.
Radiology. 2011 Jun;259(3):834-43. doi: 10.1148/radiol.11101975. Epub 2011 Apr 6.
Radiology. 2011.
PMID: 21471273
Free PMC article.
PURPOSE: To assess whether single-time-point and longitudinal volumetric magnetic resonance (MR) imaging measures provide predictive prognostic information in patients with amnestic mild cognitive impairment (MCI). ...Separate analyses were performed by using data from …
PURPOSE: To assess whether single-time-point and longitudinal volumetric magnetic resonance (MR) imaging measures provide predictive …
MR brain tissue classification using an edge-preserving spatially variant Bayesian mixture model.
Sfikas G, Nikou C, Galatsanos N, Heinrich C.
Sfikas G, et al.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):43-50. doi: 10.1007/978-3-540-85988-8_6.
Med Image Comput Comput Assist Interv. 2008.
PMID: 18979730
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is an edge-preserving smoothness prior which is imposed on the probabilities of the voxel labels. ...
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work i …
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.
Shen KK, Fripp J, Mériaudeau F, Chételat G, Salvado O, Bourgeat P; Alzheimer's Disease Neuroimaging Initiative.
Shen KK, et al.
Neuroimage. 2012 Feb 1;59(3):2155-66. doi: 10.1016/j.neuroimage.2011.10.014. Epub 2011 Oct 14.
Neuroimage. 2012.
PMID: 22037419
The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. ...
The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance …
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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.
Cho Y, et al.
Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8.
Neuroimage. 2012.
PMID: 22008371
Free PMC article.
This compromise leads to high accuracy in AD classification. We utilized MR volumes provided by Alzheimer's Disease Neuroimaging Initiative (ADNI) to validate the performance of the method. ...
This compromise leads to high accuracy in AD classification. We utilized MR volumes provided by Alzheimer's Disease Neuroimaging Init …
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