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Publications

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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

Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease
Chincarini A, Sensi F, Rei L, et al.
PMID: 26515904 ; 2015; Journal Neuroimage; vol. 125; pp. 834-47; doi:10.1016/j.neuroimage.2015.10.065