1 Folstein MF, "“Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician" 12 : 189-198, 1975
2 Fischl B, "Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain" 33 : 341-355, 2002
3 Solomon J, "User-friendly software for the analysis of brain lesions (ABLe)" 86 : 245-254, 2007
4 Thomas BA, "The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease" 38 : 1104-1119, 2011
5 Acosta-Cabronero J, "The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry" 39 : 1654-1665, 2008
6 Fischmeister FP, "The benefits of skull stripping in the normalization of clinical fMRI data" 3 : 369-380, 2013
7 Yasuno F, "Template-based method for multiple volumes of interest of human brain PET images" 16 (16): 577-586, 2002
8 Fein G, "Statistical parametric mapping of brain morphology: sensitivity is dramatically increased by using brain-extracted images as inputs" 30 : 1187-1195, 2006
9 Ashburner J, "Nonlinear spatial normalization using basis functions" 7 : 254-266, 1999
10 Gispert JD, "Influence of the normalization template on the outcome of statistical parametric mapping of PET scans" 19 : 601-612, 2003
1 Folstein MF, "“Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician" 12 : 189-198, 1975
2 Fischl B, "Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain" 33 : 341-355, 2002
3 Solomon J, "User-friendly software for the analysis of brain lesions (ABLe)" 86 : 245-254, 2007
4 Thomas BA, "The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease" 38 : 1104-1119, 2011
5 Acosta-Cabronero J, "The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry" 39 : 1654-1665, 2008
6 Fischmeister FP, "The benefits of skull stripping in the normalization of clinical fMRI data" 3 : 369-380, 2013
7 Yasuno F, "Template-based method for multiple volumes of interest of human brain PET images" 16 (16): 577-586, 2002
8 Fein G, "Statistical parametric mapping of brain morphology: sensitivity is dramatically increased by using brain-extracted images as inputs" 30 : 1187-1195, 2006
9 Ashburner J, "Nonlinear spatial normalization using basis functions" 7 : 254-266, 1999
10 Gispert JD, "Influence of the normalization template on the outcome of statistical parametric mapping of PET scans" 19 : 601-612, 2003
11 Kreisl WC, "In vivo radioligand binding to translocator protein correlates with severity of Alzheimer’s disease" 136 (136): 2228-2238, 2013
12 Kuhn FP, "Comparison of PET template-based and MRI-based image processing in the quantitative analysis of C11-raclopride PET" 4 : 7-, 2014
13 Fischl B, "Automatically parcellating the human cerebral cortex" 14 : 11-22, 2004
14 Desikan RS, "An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest" 31 : 968-980, 2006
15 Rorden C, "Age-specific CT and MRI templates for spatial normalization" 61 : 957-965, 2012