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3393 Total Publications

Heterogeneous multimodal biomarkers analysis for Alzheimer’s disease via Bayesian network
Y. Jin, Y. Su, X. H. Zhou, S. Huang and I. Alzheimer's Disease Neuroimaging
PMID: 27610127 ; PMCID:4992017 ; 2016; Journal EURASIP J Bioinform Syst Biol; vol. 2016; no. 1; pp. 12; doi:10.1186/s13637-016-0046-9
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment
M. Liu, D. Zhang and D. Shen
PMID: 26742127 ; PMCID:5572669 ; 2016; Journal IEEE Trans Med Imaging; vol. 35; no. 6; pp. 1463-74; doi:10.1109/TMI.2016.2515021
The relationship between complement factor C3, APOE ε4, amyloid and tau in Alzheimer’s disease
L. W. Bonham, R. S. Desikan and J. S. Yokoyama
PMID: 27357286 ; PMCID:4928261 ; 2016; Journal Acta Neuropathologica Communications; vol. 4; no. 1; pp. 65; doi:10.1186/s40478-016-0339-y
Shared Genetic Contribution to Ischemic Stroke and Alzheimer’s Disease
M. Traylor, P. Adib‐Samii, D. Harold, M. Dichgans, J. Williams, C. M. Lewis and H. S. Markus
PMID: 26913989 ; PMCID:4864940 ; 2016; Journal Annals of neurology; vol. 79; no. 5; pp. 739-747; doi:10.1002/ana.24621
Periventricular hyperintensities are associated with elevated cerebral amyloid
M. Marnane, O. O. Al-Jawadi, S. Mortazavi, K. J. Pogorzelec, B. W. Wang, H. H. Feldman, G. Y. Hsiung and I. Alzheimer's Disease Neuroimaging
PMID: 26747881 ; PMCID:4753726 ; 2016; Journal Neurology; vol. 86; no. 6; pp. 535-43; doi:10.1212/WNL.0000000000002352
A Spherical Brain Mapping of MR Images for the Detection of Alzheimer’s Disease.
F. J. Martinez-Murcia, J. M. Gorriz, J. Ramirez, A. Ortiz and I. For The Alzheimer's Disease Neuroimaging
PMID: 26971941 ; 2016; Journal Curr Alzheimer Res; vol. 13; no. 5; pp. 575-88;
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology
T. W. Schmitz, R. Nathan Spreng and I. Alzheimer's Disease Neuroimaging
PMID: 27811848 ; PMCID:5097157 ; 2016; Journal Nat Commun; vol. 7; pp. 13249; doi:10.1038/ncomms13249
Multimodal Classification of Mild Cognitive Impairment Based on Partial Least Squares
P. Wang, K. Chen, L. Yao, B. Hu, X. Wu, J. Zhang, Q. Ye, X. Guo and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 54; no. 1; pp. 359-71; doi:10.3233/JAD-160102
A nonparametric approach for mild cognitive impairment to AD conversion prediction: Results on longitudinal data
S. Minhas, A. Khanum, F. Riaz, A. Alvi and S. A. Khan
2016; Journal IEEE journal of biomedical and health informatics; vol. 21; no. 5; pp. 1403-1410; doi:10.1109/JBHI.2016.2608998
Impact of MRI-based Segmentation Artifacts on Amyloid- and FDG-PET Quantitation
M. Hogenauer, M. Brendel, A. Delker, S. Darr, M. Weiss, P. Bartenstein, A. Rominger and I. Alzheimer's Disease Neuroimaging
2016; Journal Curr Alzheimer Res; vol. 13; no. 5; pp. 597-607;