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1800 Total Publications

LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm.
Lorenzi, M., Ayache, N., Frisoni, G. B., & Pennec, X.
2013; Journal Neuroimage; vol. 81; pp. 470-483; AWUVAA3tMOwVf_qbJr75 doi:10.1016/j.neuroimage.2013.04.114
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging.
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
2013; Journal Neuroimage: Clinical; vol. 3; pp. 180-95; AWUVAA3tMOwVf_qbJr7- doi:10.1016/j.nicl.2013.07.006
Accurate multimodal probabilistic prediction of conversion to Alzheimer’s disease in patients with mild cognitive impairment.
Young, J., Modat, M., Cardoso, M. J., Mendelson, A., Cash, D., & Ourselin, S.
2013; Journal Neuroimage: Clinical; vol. 2; no. 1; pp. 735-745; AWUVAA3tMOwVf_qbJr7_ doi:10.1016/j.nicl.2013.05.004
Random forest and gene networks for association of SNPs to Alzheimer’s disease.
Araujo G, Souza M, Oliveira JRM, Costa I.
2013; Journal Advances in Bioinformatics and Computational Biology; AWUVAA3tMOwVf_qbJr8F
Advanced Psychometric Analysis and the Alzheimer's Disease Neuroimaging Initiative: Reports from the 2011 Friday Harbor Conference
Dan Mungas,1 Paul K. Crane,2 Laura E. Gibbons,2 Jennifer J. Manly,3 M. Maria Glymour,4 and Richard N. Jones5
PMID: 23232798 ; PMCID:3532555 ; 2013; Journal Brain Imaging Behavior; vol. 6; no. 4; pp. 485–488; AWTX4BB4dzjauPDbjhiZ doi:10.1007/s11682-012-9211-2
Alzheimer’s Disease Risk Assessment Using Large-Scale Machine Learning Methods
Casanova, R., Hsu, F.-C., Sink, K. M., Rapp, S. R., Williamson, J. D., Resnick, S. M., & Espeland, M. a.
PMID: 24250789 ; PMCID:3826736 ; 2013; Journal PloS One; vol. 8; pp. e77949; AWTX4BB4dzjauPDbjhir doi:10.1371/journal.pone.0077949
GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease
Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., … Goate, A. M.
PMID: 23562540 ; PMCID:3664945 ; 2013; Journal Neuron; vol. 78; no. 2; pp. 256-68; AWTYEEswwAl_G9zjEvYI doi:10.1016/j.neuron.2013.02.026
Unbiased Tensor-Based Morphometry: Improved Robustness and Sample Size Estimates for Alzheimer's Disease Clinical Trials.
Hua, X., Hibar, D. P., Ching, C. R. K., Boyle, C. P., Rajagopalan, P., Gutman, B. A., … Thompson, P. M.
PMID: 23153970 ; PMCID:3785376 ; 2013; Journal Neuroimage; vol. 66; pp. 648-61; AWTYIuKfwAl_G9zjEvZC doi:10.1016/j.neuroimage.2012.10.086
Dissecting the Gene Dose-Effects of the APOE ε4 and ε2 Alleles on Hippocampal Volumes in Aging and Alzheimer’s Disease
Hostage, C. a, Roy Choudhury, K., Doraiswamy, P. M., & Petrella, J. R.
PMID: 23405083 ; PMCID:3566140 ; 2013; Journal PloS One; vol. 8; no. 2; pp. e54483; AWTYIUWHMOwVf_qbJr5T doi:10.1371/journal.pone.0054483
Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer’s disease dementia
Arbizu, J., Prieto, E., Martínez-Lage, P., Martí-Climent, J. M., García-Granero, M., Lamet, I., … Weiner, M. W.
PMID: 23715905 ; 2013; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 40; no. 9; pp. 1394-1405; AWTX4SQCwAl_G9zjEvW7 doi:10.1007/s00259-013-2458-z