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1800 Total Publications

Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer disease.
Llano, D. a, Devanarayan, V., & Simon, A. J.
2013; Journal Alzheimer's Disease and Associated Disorders; vol. 27; no. 3; pp. 233-43; AWUVFyWqwAl_G9zjEvgg doi:10.1097/WAD.0b013e31826d597a
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild’s to Pole Ladder.
Lorenzi, M., & Pennec, X.
2013; Journal Journal of Mathematical Imaging and Vision; pp. 1-13; AWUVFyWqwAl_G9zjEvgt doi:10.1007/s10851-013-0470-3
Consistent 4D Brain Extraction of Serial Brain MR Images
Wang Y1, Li G2, Nie J2, Yap PT2, Guo L3, Shen D2.
PMID: 25089172 ; PMCID:4116794 ; 2013; Journal Proc SPIE Int Soc Opt Eng; AWTYoUyLdzjauPDbjho7 doi:10.1117/12.2006651
Operationalizing protocol differences for EADC-ADNI manual hippocampal segmentation.
Boccardi, M., Bocchetta, M., Ganzola, R., Robitaille, N., Redolfi, A., Duchesne, S., … Frisoni, G. B.
PMID: 23706515 ; 2013; Journal Alzheimer's and Dementia; vol. 11; pp. 184-194; AWTYjl7cwAl_G9zjEvc0 doi:10.1016/j.jalz.2013.03.001
Brain development and aging: Overlapping and unique patterns of change.
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., … Fjell, A. M.
2013; Journal Neuroimage; vol. 68; no. 2013; pp. 63-74; AWUVAA3tMOwVf_qbJr78 doi:10.1016/j.neuroimage.2012.11.039
Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer’s disease and mild cognitive impairment.
Sanabria-Diaz, G., Martinez-Montes, E., Melie-Garcia, L., & Alzheimer’s Disease Neuroimaging, I.
2013; Journal PloS One; vol. 8; no. 7; pp. e68860; AWUVAA3tMOwVf_qbJr8C doi:10.1371/journal.pone.0068860
Functional activities questionnaire items that best predict disease progression in the clinically normal elderly.
G., M., A., Z., N., L., R., A., J., L., K., J., … D., R.
2013; Journal Alzheimer's and Dementia; AWUVFUjTMOwVf_qbJr8I
White matter hyperintensities and amyloid are independently associated with entorhinal cortex volume among individuals with mild cognitive impairment.
Guzman, V. a., Carmichael, O. T., Schwarz, C., Tosto, G., Zimmerman, M. E., & Brickman, A. M.
2013; Journal Alzheimer's and Dementia; vol. 9; no. 5; pp. S124-S131; AWUVFUjTMOwVf_qbJr8J doi:10.1016/j.jalz.2012.11.009
Discriminative Feature Selection for Uncertain Graph Classification.
Kong X, Yu P, Wang X, Ragin A.
2013; Journal arXiv Prepr; vol. 2013; pp. 82-93; AWUVFUjTMOwVf_qbJr8Q
Critical ages in the life course of the adult brain: nonlinear subcortical aging.
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., … Walhovd, K. B.
2013; Journal Neurobiology of Aging; vol. 34; no. 10; pp. 2239-47; AWUVFUjTMOwVf_qbJr8k doi:10.1016/j.neurobiolaging.2013.04.006