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4453 Total Publications

Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm
Yan, J., Li, T., Wang, H., Huang, H., Wan, J., Nho, K., … Shen, L.
PMID: 25444599 ; PMCID:4268071 ; 2013; Journal Neurobiology of aging ; vol. 36; no. 1; pp. 185-93;
Plasma multianalyte profiling in mild cognitive impairment and Alzheimer disease
Hu, W. T., Holtzman, D. M., Fagan, A. M., Shaw, L. M., Perrin, R., Arnold, S. E., … Soares, H.
PMID: 22855860 ; PMCID:3425844 ; 2012; Journal Neurology; vol. 79; no. 9; pp. 897-905; doi:10.1212/WNL.0b013e318266fa70
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
Functional brain image classification using association rules defined over discriminant regions.
Chaves, R., Ramírez, J., Górriz, J. M., & Illán, I. A.
2012; Journal Pattern Recognition Letters; vol. 33; no. 12; pp. 1666-1672; doi:10.1016/j.patrec.2012.04.011
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
Predicting missing biomarker data in a longitudinal study of Alzheimer disease.
Lo, R. Y., & Jagust, W. J.
2012; Journal Neurology; vol. 78; no. 18; pp. 1376-82; doi:10.1212/WNL.0b013e318253d5b3
Empirical derivation of the reference region for computing diagnostic sensitive ¹⁸fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample
Rasmussen, J. M., Lakatos, A., van Erp, T. G. M., Kruggel, F., Keator, D. B., Fallon, J. T., … Potkin, S. G.
PMID: 21958592 ; PMCID:5849233 ; 2012; Journal Biochimica et Biophysica Acta; vol. 1822; no. 3; pp. 457-66; doi:10.1016/j.bbadis.2011.09.008