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1739 Total Publications

Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition
Toledo, J. B., Weiner, M. W., Wolk, D. a, Da, X., Chen, K., Arnold, S. E., … Trojanowski, J. Q.
PMID: 24602322 ; PMCID:4008258 ; 2014; Journal Acta Neuropathologica Communications; vol. 2; no. 1; pp. 26; doi:10.1186/2051-5960-2-26
Genome-wide interaction analysis reveals replicated epistatic effects on brain structure
Hibar DP1, Stein JL1, Jahanshad N1, Kohannim O1, Hua X1, Toga AW1, McMahon KL2, de Zubicaray GI3, Martin NG4, Wright MJ4; Alzheimer's Disease Neuroimaging Initiative, Weiner MW5, Thompson PM6.
PMID: 25264344 ; PMCID:4332874 ; 2014; Journal Neurobiology of Aging; pp. S151-8; doi:10.1016/j.neurobiolaging.2014.02.033
Subgroups of Alzheimer’s Disease: Stability of Empirical Clusters Over Time
Peter, J., Abdulkadir, A., Kaller, C., Kümmerer, D., Hüll, M., Vach, W., & Klöppel, S.
PMID: 24927700 ; 2014; Journal Journal of Alzheimer's Disease; vol. 42; no. 2; pp. 651-61; doi:10.3233/JAD-140261
Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines
Khedher, L., Ramirez, J., Gorriz, J. M., & Brahim, A.
PMID: 25488233 ; PMCID:5081132 ; 2014; Journal Studies in Health Technology and Informatics; vol. 207; pp. 271-279; doi:10.1177/0962280213502437
Optimal treatment of Alzheimer’s disease psychosis: challenges and solutions
Koppel J1, Greenwald BS2
PMID: 25473289 ; PMCID:4247130 ; 2014; Journal Neuropsychiatric Dis. Treatment; vol. 10; pp. 2253-62; doi:10.2147/NDT.S60837
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer’s Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning
J., W., Z., Z., B.D., R., S., F., J., Y., A.J., S., & L., S.
PMID: 24710828 ; PMCID:4113117 ; 2014; Journal IEEE Transactions on Medical Imaging; vol. 33; no. 7; pp. 1475-87; doi:10.1109/TMI.2014.2314712
Subclass-based multi-task learning for Alzheimer’s disease diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D.
PMID: 25147522 ; PMCID:4124798 ; 2014; Journal Frontiers in Aging Neuroscience; vol. 6; pp. 168; doi:10.3389/fnagi.2014.00168
Clustering-Induced Multi-task Learning for AD/MCI Classification
Suk, H.-I., & Shen, D.
PMID: 25320824 ; PMCID:4467456 ; 2014; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 17; no. 3; pp. 393-400; doi:10.1007/978-3-319-10443-0_50