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Publications

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3740 Total Publications

Comparison of Cortical and Subcortical Measurements in Normal Older Adults across Databases and Software Packages
S. Rane, A. Plassard, B. A. Landman, D. O. Claassen and M. J. Donahue
2017; Journal Journal of Alzheimer's Disease Reports; vol. 1; no. 1; pp. 59-70; doi:10.3233/adr-170008

Brain explorer for connectomic analysis
H. Li, S. Fang, J. A. Contreras, J. D. West, S. L. Risacher, Y. Wang, O. Sporns, A. J. Saykin, J. Goni, L. Shen and I. Alzheimer's Disease Neuroimaging
PMCID:5709282 ; 2017; Journal Brain Inform; vol. 4; no. 4; pp. 253-269; doi:10.1007/s40708-017-0071-9

Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease
K. Li and S. Luo
2017; Journal Statistical Methods in Medical Research; pp. 962280217722177; doi:10.1177/0962280217722177

Frequency Specific Effects of ApoE epsilon4 Allele on Resting-State Networks in Nondemented Elders
Y. Liang, Z. Li, J. Wei, C. Li, X. Zhang and A. s. D. N. Initiative
PMCID:5370516 ; 2017; Journal Biomed Res Int; vol. 2017; pp. 9823501; doi:10.1155/2017/9823501

Multifactorial causal model of brain (dis) organization and therapeutic intervention: Application to Alzheimer’s disease
Y. Iturria-Medina, F. M. Carbonell, R. C. Sotero, F. Chouinard-Decorte, A. C. Evans and A. s. D. N. Initiative
2017; Journal NeuroImage; vol. 152; pp. 60-77; doi:10.1016/j.neuroimage.2017.02.058

Analysis of longitudinal diffusion-weighted images in healthy and pathological aging: An ADNI study
F. Kruggel, F. Masaki, A. Solodkin and I. Alzheimer's Disease Neuroimaging
2017; Journal J Neurosci Methods; vol. 278; pp. 101-115; doi:10.1016/j.jneumeth.2016.12.020

Prediction and classification of Alzheimer disease based on quantification of MRI deformation
X. Long, L. Chen, C. Jiang, L. Zhang and I. Alzheimer's Disease Neuroimaging
PMCID:5338815 ; 2017; Journal PLoS One; vol. 12; no. 3; pp. e0173372; doi:10.1371/journal.pone.0173372

Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method
S. Luo, X. Li and J. Li
2017; Journal Journal of Applied Mathematics and Physics; vol. 5; no. 9; pp. 1892; doi:10.4236/jamp.2017.59159

DTI measurements for Alzheimer's classification
T. Maggipinto, R. Bellotti, N. Amoroso, D. Diacono, G. Donvito, E. Lella, A. Monaco, M. Antonella Scelsi and S. Tangaro
2017; Journal Phys Med Biol; vol. 62; no. 6; pp. 2361-2375; doi:10.1088/1361-6560/aa5dbe

Learning non-linear patch embeddings with neural networks for label fusion
G. Sanroma, O. M. Benkarim, G. Piella, O. Camara, G. Wu, D. Shen, J. D. Gispert, J. L. Molinuevo, M. A. Gonzalez Ballester and I. Alzheimer's Disease Neuroimaging
PMCID:5896774 ; 2017; Journal Med Image Anal; vol. 44; pp. 143-155; doi:10.1016/j.media.2017.11.013