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1800 Total Publications

A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms
E. Baykara, B. Gesierich, R. Adam, A. M. Tuladhar, J. M. Biesbroek, H. L. Koek, S. Ropele, E. Jouvent, I. Alzheimer's Disease Neuroimaging, H. Chabriat, B. Ertl-Wagner, M. Ewers, R. Schmidt, F. E. de Leeuw, G. J. Biessels, M. Dichgans and M. Duering
2016; Journal Ann Neurol; vol. 80; no. 4; pp. 581-92; AWUVQIWPMOwVf_qbJr96 doi:10.1002/ana.24758
Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression
H. Zetterberg, T. Skillback, N. Mattsson, J. Q. Trojanowski, E. Portelius, L. M. Shaw, M. W. Weiner, K. Blennow and A. s. D. N. Initiative
PMID: 26524180 ; PMCID:5624219 ; 2016; Journal JAMA Neurol; vol. 73; no. 1; pp. 60-7; AWTYs7amwAl_G9zjEvfZ doi:10.1001/jamaneurol.2015.3037
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features
S. Hor and M. Moradi
2016; Journal Med Image Anal; vol. 34; pp. 30-41; AWUV4qX5MOwVf_qbJr-A doi:10.1016/j.media.2016.07.012
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine
K. A. Linn, B. Gaonkar, T. D. Satterthwaite, J. Doshi, C. Davatzikos and R. T. Shinohara
2016; Journal NeuroImage; vol. 132; pp. 157-166; AWUV4qX5MOwVf_qbJr-J doi:10.1016/j.neuroimage.2016.02.044
Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals
E. T. Ighodaro, E. L. Abner, D. W. Fardo, A. L. Lin, Y. Katsumata, F. A. Schmitt, R. J. Kryscio, G. A. Jicha, J. H. Neltner, S. E. Monsell, W. A. Kukull, D. K. Moser, F. Appiah, A. D. Bachstetter, L. J. Van Eldik, I. Alzheimer's Disease Neuroimaging and P. T. Nelson
PMCID:5363738 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 1; pp. 201-216; AWUWTaDCMOwVf_qbJr-g doi:10.1177/0271678X15621574
Combining Feature Extraction Methods to Assist the Diagnosis of Alzheimer’s Disease
Segovia, M. Górriz, J. Ramírez, Phillips and A. s. D. N. Initiative
2016; Journal Current Alzheimer Research; vol. 13; no. 7; pp. 831-837; AWUWDcoowAl_G9zjEvho
False-Positive Error Rates for Reliable Digit Span and Auditory Verbal Learning Test Performance Validity Measures in Amnestic Mild Cognitive Impairment and Early Alzheimer Disease
D. W. Loring, F. C. Goldstein, C. Chen, D. L. Drane, J. J. Lah, L. Zhao, G. J. Larrabee and I. Alzheimer's Disease Neuroimaging
PMCID:4876935 ; 2016; Journal Arch Clin Neuropsychol; vol. 31; no. 4; pp. 313-31; AWUaJ_FmMOwVf_qbJr-8 doi:10.1093/arclin/acw014
Genomics and CSF analyses implicate thyroid hormone in hippocampal sclerosis of aging
P. T. Nelson, Y. Katsumata, K. Nho, S. C. Artiushin, G. A. Jicha, W. X. Wang, E. L. Abner, A. J. Saykin, W. A. Kukull, I. Alzheimer's Disease Neuroimaging and D. W. Fardo
PMCID:5154615 ; 2016; Journal Acta Neuropathol; vol. 132; no. 6; pp. 841-858; AWUaKTW8dzjauPDbjhu5 doi:10.1007/s00401-016-1641-2
Multistage Grading of Amnestic Mild Cognitive Impairment: The Associated Brain Gray Matter Volume and Cognitive Behavior Characterization
C. Yang, X. Sun, W. Tao, X. Li, J. Zhang, J. Jia, K. Chen and Z. Zhang
PMCID:5222841 ; 2016; Journal Front Aging Neurosci; vol. 8; pp. 332; AWUaLI6lwAl_G9zjEvij doi:10.3389/fnagi.2016.00332
Automatic labeling of MR brain images by hierarchical learning of atlas forests
L. Zhang, Q. Wang, Y. Gao, G. Wu and D. Shen
PMCID:5148185 ; 2016; Journal Med Phys; vol. 43; no. 3; pp. 1175-86; AWUaLI6lwAl_G9zjEvik doi:10.1118/1.4941011