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3740 Total Publications

Effect of EPHA1 Genetic Variation on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer’s Disease Cohorts
Wang, H.-F., Tan, L., Hao, X.-K., Jiang, T., Tan, M.-S., Liu, Y., … Yu, J.-T.
PMID: 25182741 ; 2015; Journal Journal of Alzheimer's Disease; vol. 44; no. 1; pp. 115-123; doi:10.3233/JAD-141488
Suspected non-AD pathology in mild cognitive impairment.
Wisse LEM, Butala N, Das SR, et al.
2015; Journal Neurobiology of Aging;
How Do Scores on the ADAS-Cog, MMSE, and CDRSOB Correspond?
Balsis S, Benge JF, Lowe DA, Geraci L, Doody RS.
PMID: 26617181 ; 2015; Journal Clinical Neuropsychology; vol. 29; no. 7; pp. 1002-9; doi:10.1080/13854046.2015.1119312
Technical performance of a novel, fully automated electrochemiluminescence immunoassay for the quantitation of b-amyloid (1–42) in human cerebrospinal fluid
T. Bittner, H. Zetterberg, C. H. Teunissen, R. H. Ostlund, M. Militello, Andreasson, Hubeek, D. Gibson, D. C. Chu and y. Eichenlaub
PMID: 26555316 ; 2015; Journal Alzheimer's & Dementia; vol. 12; no. 5; pp. 517-526; doi:10.1016/j.jalz.2015.09.009
Mapping ventricular expansion onto cortical gray matter in older adults
Madsen, S. K., Gutman, B. a., Joshi, S. H., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
PMID: 25311280 ; PMCID:4268107 ; 2015; Journal Neurobiology of Aging; vol. 36; pp. S32-S41; doi:10.1016/j.neurobiolaging.2014.03.044
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm
R. Maglietta, N. Amoroso, M. Boccardi, S. Bruno, A. Chincarini, G. B. Frisoni, P. Inglese, A. Redolfi, S. Tangaro and Tateo
PMID: 27110218 ; 2015; Journal Pattern Analysis and Applications; vol. 19; no. 2; pp. 579-591; doi:10.1007/s10044-015-0492-0
Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool
Liang, Z., He, X., Ceritoglu, C., Tang, X., Li, Y., Kutten, K. S., … Faria, A. V.
PMID: 26208327 ; PMCID:4514626 ; 2015; Journal PloS One; vol. 10; no. 7; pp. e0133533; doi:10.1371/journal.pone.0133533
White matter signal abnormality quality differentiates mild cognitive impairment that converts to Alzheimer’s disease from nonconverters
Lindemer, E. R., Salat, D. H., Smith, E. E., Nguyen, K., Fischl, B., & Greve, D. N.
PMID: 26095760 ; PMCID:4523418 ; 2015; Journal Neurobiology of Aging; vol. 36; no. 9; pp. 2447-57; doi:10.1016/j.neurobiolaging.2015.05.011
Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimer’s Disease
Liu, S., Liu, S., Cai, W., Che, H., Pujol, S., Kikinis, R., … Fulham, M. J.
2015; Journal IEEE Transactions on Bio-Medical Engineering; vol. 62; no. 4; pp. 1132-40; doi:10.1109/TBME.2014.2372011