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Publications

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1800 Total Publications

Small-World Properties in Mild Cognitive Impairment and Early Alzheimer’s Disease: A Cortical Thickness MRI Study.
Zhou, Y., & Lui, Y. W.
2013; Journal ISRN Geriatrics; vol. 2013; no. 6684; pp. 1-11; AWUVFUjTMOwVf_qbJr8Z doi:10.1155/2013/542080
Genetic susceptibility for Alzheimer disease neuritic plaque pathology.
Shulman, J. M., Chen, K., Keenan, B. T., Chibnik, L. B., Fleisher, A., Thiyyagura, P., … Bennett, D. a.
2013; Journal JAMA Neurology; vol. 70; no. 9; pp. 1150-7; AWUVFUjTMOwVf_qbJr8a doi:10.1001/jamaneurol.2013.2815
Machine learning-based method for personalized and cost-effective detection of Alzheimer’s disease.
Escudero, J., Ifeachor, E., Zajicek, J. P., Green, C., Shearer, J., & Pearson, S.
2013; Journal IEEE Transactions on Bio-Medical Engineering; vol. 60; no. 1; pp. 164-8; AWUU_d3HdzjauPDbjhqi doi:10.1109/TBME.2012.2212278
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer’s disease. Int J Data Min Bioinform
Ayhan MS, Benton RG, Raghavan V V, Choubey S.
2013; Journal International Journal of Data Mining and Bioinformatics; vol. 7; no. 2; pp. 146-65; AWUU_d3HdzjauPDbjhqk
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions
Wang, D., Nie, F., Huang, H., Yan, J., Risacher, S. L., Saykin, A. J., & Shen, L.
PMID: 24683997 ; PMCID:3974207 ; 2013; Journal Inf Process Med Imaging; vol. 7917; pp. 536-547; AWTYEk81dzjauPDbjhkC
Spatiotemporal Linear Mixed Effects Modeling for the Massunivariate Analysis of Longitudinal Neuroimage Data Analysis of Longitudinal Neuroimage Data
Bernal-Rusiel, J. L., Reuter, M., Greve, D. N., Fischl, B., & Sabuncu, M. R.
PMID: 23702413 ; PMCID:3816382 ; 2013; Journal Neuroimage; vol. 81; pp. 358-370; AWTX50iGMOwVf_qbJr26 doi:10.1016/j.neuroimage.2013.05.049
Decoding Alzheimer’s disease from perturbed cerebral glucose metabolism: Implications for diagnostic and therapeutic strategies
Chen Z1, Zhong C
PMID: 23850509 ; 2013; Journal Prog Neurobiol; vol. 108; pp. 21-43; AWTX7-JeMOwVf_qbJr3o doi:10.1016/j.pneurobio.2013.06.004
Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study
Bryant, C., Giovanello, K. S., Ibrahim, J. G., Chang, J., Shen, D., Peterson, B. S., & Zhu, H.
PMID: 24015190 ; PMCID:3756017 ; 2013; Journal PloS One; vol. 8; no. 8; pp. e71723; AWTX7HmYdzjauPDbjhjb doi:10.1371/journal.pone.0071723
Characterizing the Role of Brain Derived Neurotrophic Factor Genetic Variation in Alzheimer’s Disease Neurodegeneration
Honea, R. a., Cruchaga, C., Perea, R. D., Saykin, A. J., Burns, J. M., Weinberger, D. R., & Goate, A. M.
PMID: 24086677 ; PMCID:3784423 ; 2013; Journal PloS One; vol. 8; no. 9; pp. 1-9; AWTYIUWHMOwVf_qbJr5S doi:10.1371/journal.pone.0076001
High-Order Graph Matching Based Feature Selection for Alzheimer’s Disease Identification
Liu, F., Suk, H.-I., Wee, C.-Y., Chen, H., & Shen, D.
PMID: 24579155 ; PMCID:4029354 ; 2013; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 16; no. 2; pp. 311-318; AWTYMRBqMOwVf_qbJr6R