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1739 Total Publications

A new diagnostic accuracy measure and cut-point selection criterion
T. Dong, K. Attwood, A. Hutson, S. Liu and L. Tian
PMID: 26486150 ; PMCID:5540368 ; 2015; Journal Stat Methods Med Res; vol. 26; no. 6; pp. 2832-2852; doi:10.1177/0962280215611631
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
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