1.
Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
by Augustinack, Jean C
NeuroImage, January 1, 2013, Vol.64, pp.32-42
2.
Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.
by Eskildsen, Simon F
NeuroImage, January 15, 2013, Vol.65, pp.511-521
3.
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images.
by Chu, Carlton
NeuroImage, March 2012, Vol.60(1), pp.59-70
4.
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
by Yuan, Lei
NeuroImage, July 2, 2012, Vol.61(3), pp.622-632
5.
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
by Gray, Katherine R
NeuroImage, January 15, 2013, Vol.65, pp.167-175
6.
Naming impairment in Alzheimer's disease is associated with left anterior temporal lobe atrophy.
by Domoto-Reilly, Kimiko
NeuroImage, October 15, 2012, Vol.63(1), pp.348-355
7.
Voxelwise genome-wide association study (vGWAS).
by Stein, Jason L
NeuroImage, November 15, 2010, Vol.53(3), pp.1160-1174
8.
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
by Shen, Li
NeuroImage, November 15, 2010, Vol.53(3), pp.1051-1063
9.
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
by Keihaninejad, Shiva
NeuroImage, May 1, 2010, Vol.50(4), pp.1427-1437
10.
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.
by Vounou, Maria
NeuroImage, November 15, 2010, Vol.53(3), pp.1147-1159
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