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Publications

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1800 Total Publications

Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors.
Cui, Y., Liu, B., Luo, S., Zhen, X., Fan, M., Liu, T., … Jin, J. S.
PMID: 21814561 ; PMCID:3140993 ; 2011; Journal PloS One; vol. 6; no. 7; pp. e21896; AWTYEEswwAl_G9zjEvYO doi:10.1371/journal.pone.0021896
The relative efficiency of time-to-threshold and rate of change in longitudinal data
Donohue, M. C., Gamst, A. C., Thomas, R. G., Xu, R., Beckett, L., Petersen, R. C., … Aisen, P.
PMID: 21554992 ; PMCID:3148349 ; 2011; Journal Contemporary Clinical Trials; vol. 32; no. 5; pp. 685-93; AWTYFMuTwAl_G9zjEvYZ doi:10.1016/j.cct.2011.04.007
False positives in neuroimaging genetics using voxel-based morphometry data
Silver, M., Montana, G., & Nichols, T. E.
PMID: 20849959 ; PMCID:3063336 ; 2011; Journal Neuroimage; vol. 54; no. 2; pp. 992-1000; AWTYGAtkMOwVf_qbJr4X doi:10.1016/j.neuroimage.2010.08.049
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects
Leung, K. K., Barnes, J., Modat, M., Ridgway, G. R., Bartlett, J. W., Fox, N. C., & Ourselin, S.
PMID: 21497199 ; PMCID:3366726 ; 2011; Journal Neuroimage; vol. 56; no. 4; pp. 1875-91; AWTYH9GudzjauPDbjhmi doi:10.1016/j.neuroimage.2011.03.077.Voxelwise
Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures
Zhou, L., Wang, Y., Li, Y., Yap, P.-T., Shen, D., & Alzheimer’s Dis Neuroimaging, I.
PMID: 21818280 ; PMCID:3139571 ; 2011; Journal PloS One; vol. 6; no. 7; pp. e21935; AWTYH9GudzjauPDbjhmk doi:e21935 10.1371/journal.pone.0021935
Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier
Abdulkadir, A., Mortamet, B., Vemuri, P., Jack, C. R., Krueger, G., & Klöppel, S.
PMID: 21708272 ; PMCID:3258661 ; 2011; Journal Neuroimage; vol. 58; no. 3; pp. 785-792; AWTX4BB4dzjauPDbjhiU doi:10.1016/j.neuroimage.2011.06.029
An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients
Aksu, Y., Miller, D. J., Kesidis, G., Bigler, D. C., & Yang, Q. X.
PMID: 22022375 ; PMCID:3192038 ; 2011; Journal PloS One; vol. 6; no. 10; pp. e25074; AWTX4BB4dzjauPDbjhih doi:10.1371/journal.pone.0025074
Discrimination of AD and normal subjects from MRI: Anatomical versus statistical regions
Pelaez-Coca, M., Bossa, M., Olmos, S., & (ADNI), A. D. N. I.
PMID: 20937359 ; 2011; Journal Neuroscience Letters; vol. 487; no. 1; pp. 113-117; AWTYEk81dzjauPDbjhka doi:10.1016/j.neulet.2010.10.007
Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data
Bossa M1, Zacur E, Olmos S; Alzheimer's Disease Neuroimaging Initiative
PMID: 21216295 ; PMCID:3554790 ; 2011; Journal Neuroimage; vol. 55; no. 3; pp. 999-1008; AWTX7HmYdzjauPDbjhjN doi:10.1016/j.neuroimage.2010.12.078
Utility of Combinations of Biomarkers, Cognitive Markers, and Risk Factors to Predict Conversion From Mild Cognitive Impairment to Alzheimer Disease in Patients in the Alzheimer’s Disease Neuroimaging Initiative
Gomar, J. J., Bobes-Bascaran, M. T., Conejero-Goldberg, C., Davies, P., & Goldberg, T. E.
PMID: 21893661 ; 2011; Journal JAMA Psychiatry; vol. 68; no. 9; pp. 961-969; AWTYG0yudzjauPDbjhlT doi:10.1001/archgenpsychiatry.2011.96