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1736 Total Publications

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
What are the Most Frequently Impaired Markers of Neurodegeneration in ADNI Subjects?
Andriuta D1, Moullart V2, Schraen S3, Devendeville A1,4, Meyer ME2, Godefroy O1; Alzheimer’s Disease Neuroimaging.
PMID: 26923012 ; 2016; Journal Journal of Alzheimer's Disease; vol. 51; no. 3; pp. 793-800; AWTYnnPpwAl_G9zjEvfE doi:10.3233/JAD-150829
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
ADCOMS: a composite clinical outcome for prodromal Alzheimer’s disease trials
J. Wang, V. Logovinsky, S. B. Hendrix, S. H. Stanworth, C. Perdomo, L. Xu, S. Dhadda, I. Do, M. Rabe, J. Luthman, J. Cummings and A. Satlin
PMID: 27010616 ; PMCID:5013117 ; 2016; Journal J Neurol Neurosurg Psychiatry; vol. 87; no. 9; pp. 993-9; AWTYoUyLdzjauPDbjho9 doi:10.1136/jnnp-2015-312383
Graph-guided joint prediction of class label and clinical scores for the Alzheimer’s disease
Yu G1, Liu Y1,2,3, Shen D4,5
PMID: 26476928 ; PMCID:26476928 ; 2016; Journal Brain Struct Funct; vol. 221; no. 7; pp. 3787-801; AWTYsLzpdzjauPDbjhpY doi:10.1007/s00429-015-1132-6
Multistage Grading of Amnestic Mild Cognitive Impairment: The Associated Brain Gray Matter Volume and Cognitive Behavior Characterization
Yang C1, Sun X2, Tao W1, Li X1, Zhang J1, Jia J2, Chen K3, Zhang Z1
PMID: 28119601 ; PMCID:5222841 ; 2016; Journal Front Aging Neurosci.; vol. 8; pp. 332; AWTYO_KSMOwVf_qbJr6g doi:10.3389/fnagi.2016.00332
Using the Disease State Fingerprint Tool for Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease
M. A. Munoz-Ruiz, A. Hall, J. Mattila, J. Koikkalainen, S. K. Herukka, M. Husso, T. Hanninen, R. Vanninen, Y. Liu, M. Hallikainen, J. Lotjonen, A. M. Remes, I. Alafuzoff, H. Soininen and P. Hartikainen
PMID: 27703465 ; PMCID:5040932 ; 2016; Journal Dement Geriatr Cogn Dis Extra; vol. 6; no. 2; pp. 313-329; AWTYO_KSMOwVf_qbJr6i doi:10.1159/000447122
Does serum uric acid act as a modulator of cerebrospinal fluid Alzheimer's disease biomarker related cognitive decline?
B. S. Ye, W. W. Lee, J. H. Ham, J. J. Lee, P. H. Lee and Y. H. Sohn
2016; Journal Eur J Neurol; vol. 23; no. 5; pp. 948-57; AWUWFPdnMOwVf_qbJr-W doi:10.1111/ene.12969
L2, p-norm and sample constraint based feature selection and classification for AD diagnosis
M. Zhang, Y. Yang, H. Zhang, F. Shen and D. Zhang
2016; Journal Neurocomputing; vol. 195; pp. 104-111; AWUWFPdnMOwVf_qbJr-Y doi:10.1016/j.neucom.2015.08.111