4453 Total Publications
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data
Huang, S, Li, J, Ye, JP, Fleisher, A, Chen, KW, Wu, T, Reiman, E and Alzheimers Dis Neuroimaging, I
2013; Journal Ieee Transactions on Pattern Analysis and Machine Intelligence; vol. 35; no. 6; pp. 1328-1342;
Combining patient-level and summary-level data for Alzheimer’s disease modeling and simulation: a β regression meta-analysis.
Rogers, J. A., Polhamus, D., Gillespie, W. R., Ito, K., Romero, K., Qiu, R., … Corrigan, B.
2012; Journal Journal of Pharmacokinetics and Pharmacodynamics; vol. 39; no. 5; pp. 479-98;
doi:10.1007/s10928-012-9263-3
Increasing Power for Voxel-wise Genome-wide Association Studies: The Random Field Theory, Least Square Kernel Machines and Fast Permutation Procedures.
Ge, T., Feng, J., Hibar, D. P., Thompson, P. M., & Nichols, T. E.
2012; Journal Neuroimage; vol. 63; no. 2; pp. 858-873;
doi:10.1016/j.neuroimage.2012.07.012
Biomarker discovery for sparse classification of brain images in Alzheimer’s disease.
Janousova, E., Vounou, M., Wolz, R., Gray, K. R., Rueckert, D., Montana, G., & Adni.
2012; Journal Annals of the BMVA; vol. 2012; no. 2; pp. 1-11;
BEaST: Brain extraction based on nonlocal segmentation technique
Eskildsen, S. F., Coupé, P., Fonov, V., Manjón, J. V., Leung, K. K., Guizard, N., … Collins, D. L
2012; Journal Neuroimage; vol. 59; no. 3; pp. 2362-2373;
doi:10.1016/j.neuroimage.2011.09.012
Nonlinear time course of brain volume loss in cognitively normal and impaired elders
Schuff, N., Tosun, D., Insel, P. S., Chiang, G. C., Truran, D., Aisen, P. S., … Weiner, M. W.
PMID: 20855131
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PMCID:3032014
; 2012; Journal Neurobiology of Aging; vol. 33; no. 5; pp. 845-55;
doi:10.1016/j.neurobiolaging.2010.07.012