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1800 Total Publications

Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
P. Suppa, H. Hampel, T. Kepp, C. Lange, L. Spies, J. B. Fiebach, B. Dubois, R. Buchert and I. Alzheimer's Disease Neuroimaging
PMID: 26923010 ; 2016; Journal J Alzheimers Dis; vol. 51; no. 3; pp. 867-73; AWTYkLG3MOwVf_qbJr63 doi:10.3233/JAD-150804
PETPVE12: an SPM toolbox for Partial Volume Effects correction in brain PET – Application to amyloid imaging with AV45-PET
G. Gonzalez-Escamilla, C. Lange, S. Teipel, R. Buchert, M. J. Grothe and I. Alzheimer's Disease Neuroimaging
PMID: 28039094 ; 2016; Journal Neuroimage; vol. 147; pp. 669-677; AWTYkLG4MOwVf_qbJr7C doi:10.1016/j.neuroimage.2016.12.077
Phantom criteria for qualification of brain FDG and amyloid PET across different cameras
Y. Ikari, G. Akamatsu, T. Nishio, K. Ishii, K. Ito, T. Iwatsubo and M. Senda
PMID: 27709546 ; PMCID:5052249 ; 2016; Journal EJNMMI Phys; vol. 3; no. 1; pp. 23; AWTYkLG4MOwVf_qbJr7D doi:10.1186/s40658-016-0159-y
White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration
B. M. Kandel, B. B. Avants, J. C. Gee, C. T. McMillan, G. Erus, J. Doshi, C. Davatzikos and D. A. Wolk
PMID: 27489875 ; PMCID:4950175 ; 2016; Journal Alzheimers Dement (Amst); vol. 4; pp. 18-27; AWTYJ1j0wAl_G9zjEvZ1 doi:10.1016/j.dadm.2016.03.001
Inverse probability weighting estimation of the volume under the ROC surface in the presence of verification bias.
Y. Zhang, T. A. Alonzo and I. Alzheimer's Disease Neuroimaging
PMID: 27338713 ; 2016; Journal Biom J; vol. 58; no. 6; pp. 1338-1356; AWTYJDUyMOwVf_qbJr5i doi:10.1002/bimj.201500225
The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism
E. Stage, T. Duran, S. L. Risacher, N. Goukasian, T. M. Do, J. D. West, H. Wilhalme, K. Nho, M. Phillips, D. Elashoff, A. J. Saykin and L. G. Apostolova
PMID: 28054028 ; PMCID:28054028 ; 2016; Journal Alzheimers Dement (Amst); vol. 5; pp. 53-66; AWTYmIlBwAl_G9zjEveD doi:10.1016/j.dadm.2016.12.003
Apolipoprotein E (APOE) genotype has dissociable effects on memory and attentional–executive network function in Alzheimer’s disease
Wolk DA1, Das SR2, Mueller SG3, Weiner MW3, Yushkevich PA4; Alzheimer's Disease Neuroimaging Initiative.
PMID: 27836336 ; PMCID:5154888 ; 2016; Journal Neurobiol Aging; vol. 49; pp. 204-213; AWTYolG5wAl_G9zjEvfK doi:10.1016/j.neurobiolaging.2016.09.011
COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer’s disease
F. Zhu, B. Panwar, H. H. Dodge, H. Li, B. M. Hampstead, R. L. Albin, H. L. Paulson and Y. Guan
PMID: 27703197 ; PMCID:5050516 ; 2016; Journal Sci Rep; vol. 6; pp. 34567; AWTYs7amwAl_G9zjEvfw doi:10.1038/srep34567
Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment
Zu C1, Jie B1,2, Liu M1, Chen S1, Shen D3,4, Zhang D5; Alzheimer’s Disease Neuroimaging Initiative
PMID: 26572145 ; PMCID:4868803 ; 2016; Journal Brain Imaging Behavior; vol. 10; no. 4; pp. 1148-1159; AWTYs7amwAl_G9zjEvf0 doi:10.1007/s11682-015-9480-7
Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system
S. Tao, J. D. Trzasko, J. L. Gunter, P. T. Weavers, Y. Shu, J. Huston, S. K. Lee, E. T. Tan and M. A. Bernstein
PMCID:5257336 ; 2016; Journal Phys Med Biol; vol. 62; no. 2; pp. N18-N31; AWUWXQ-hdzjauPDbjhsZ doi:10.1088/1361-6560/aa524f