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Publications

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4453 Total Publications

Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer’s disease
Li, X.-W., Li, Q.-L., Li, S.-Y., & Li, D.-Y.
PMID: 26122409 ; 2015; Journal CNS Neuroscience and Therapeutics; vol. 21; no. 10; pp. 826-36; doi:10.1111/cns.12415

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

Nonparametric Discrete Survival Function Estimation with Uncertain Endpoints Using an Internal Validation Subsample
Zee J, Xie S.
PMID: 25916510 ; PMCID:4575242 ; 2015; Journal Biometrics; vol. 71; no. 3; pp. 772-81; doi:10.1111/biom.12316

Boosting brain connectome classification accuracy in Alzheimer’s disease using higher-order singular value decomposition
Zhan, L., Liu, Y., Wang, Y., Zhou, J., Jahanshad, N., Ye, J., & Thompson, P. M.
PMID: 26257601 ; PMCID:4513242 ; 2015; Journal Frontiers in Neuroscience; vol. 9; pp. 257; doi:10.3389/fnins.2015.00257

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

Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease
Raj, A., LoCastro, E., Kuceyeski, A., Tosun, D., Relkin, N., & Weiner, M.
PMID: 25600871 ; PMCID:5747552 ; 2015; Journal Cell Reports; vol. 10; no. 3; pp. 359-369; doi:10.1016/j.celrep.2014.12.034

Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans
Saykin, A. J., Shen, L., Yao, X., Kim, S., Nho, K., Risacher, S. L., … Weiner, M. W.
PMID: 26194313 ; PMCID:4510473 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 7; pp. 792-814; doi:10.1016/j.jalz.2015.05.009

The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Schmidt, M. E., Chiao, P., Klein, G., Matthews, D., Thurfjell, L., Cole, P. E., … Jagust, W.
PMID: 25457431 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 9; pp. 1050-68; doi:10.1016/j.jalz.2014.09.004