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3740 Total Publications

Vascular risk factors and cardiovascular outcomes in the Alzheimer’s disease neuroimaging initiative.
Epstein, N. U., Xie, H., Ruland, S. D., & Pandey, D. K.
2012; Journal American Journal of Alzheimer's Disease and Other Dementias; vol. 27; no. 4; pp. 275-9; doi:10.1177/1533317512449730
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.
Ye, J., Farnum, M., Yang, E., Verbeeck, R., Lobanov, V., Raghavan, N., … Narayan, V. a.
2012; Journal BMC Neurology; vol. 12; no. 1; pp. 46; doi:10.1186/1471-2377-12-46
Bioprofile Analysis: A New Approach for the Analysis of Biomedical Data in Alzheimer’s Disease.
Escudero, J., Ifeachor, E., & Zajicek, J. P.
2012; Journal Journal of Alzheimer's Disease;
Depressive Symptoms in Mild Cognitive Impairment Predict Greater Atrophy in Alzheimer’s Disease-Related Regions
Lee, G. J., Lu, P. H., Hua, X., Lee, S., Wu, S., Nguyen, K., … Thompson, P. M.
PMID: 22322105 ; PMCID:3322258 ; 2012; Journal Biological Psychiatry; vol. 71; no. 9; pp. 814-821; doi:10.1016/j.biopsych.2011.12.024
Longitudinal stability of subsyndromal symptoms of depression in individuals with mild cognitive impairment: relationship to conversion to dementia after 3 years*
Mackin, R. S., Insel, P., Aisen, P. S., Geda, Y. E., & Weiner, M. W.
PMID: 21744390 ; PMCID:3685477 ; 2012; Journal Journal of Geriatric Psychiatry; vol. 27; no. 4; pp. 355-63; doi:10.1002/gps.2713
Tree-guided sparse coding for brain disease classification.
Liu, M., Zhang, D., Yap, P.-T., & Shen, D.
2012; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 15; no. 3; pp. 239-247;
Effects of ApoE4 and maternal history of dementia on hippocampal atrophy
Andrawis, J. P., Hwang, K. S., Green, A. E., Kotlerman, J., Elashoff, D., Morra, J. H., … Apostolova, L. G.
PMID: 20833446 ; PMCID:3010297 ; 2012; Journal Neurobiology of Aging; vol. 33; no. 5; pp. 856-66; doi:10.1016/j.neurobiolaging.2010.07.020
Enriching Amnestic Mild Cognitive Impairment Populations for Clinical Trials: Optimal Combination of Biomarkers to Predict Conversion to Dementia
Yu, P., Dean, R. a, Hall, S. D., Qi, Y., Sethuraman, G., Willis, B. a, … Schwarz, A. J.
PMID: 22796873 ; 2012; Journal Yu, P., Dean, R. a, Hall, S. D., Qi, Y., Sethuraman, G., Willis, B. a, … Schwarz, A. J.; vol. 32; no. 2; pp. 373-85; doi:10.3233/JAD-2012-120832
Prediction of conversion from mild cognitive impairment to Alzheimer’s disease dementia based upon biomarkers and neuropsychological test performance
Ewers, M., Walsh, C., Trojanowski, J. Q., Shaw, L. M., Petersen, R. C., Jack, C. R., … Hampel, H.
PMID: 21159408 ; PMCID:3328615 ; 2012; Journal Neurobiology of Aging; vol. 33; no. 7; pp. 1203-1214.e2.; doi:10.1016/j.neurobiolaging.2010.10.019
Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data
Cho, Y., Seong, J.-K., Jeong, Y., & Shin, S. Y.
PMID: 22008371 ; PMCID:5849264 ; 2012; Journal Neuroimage; vol. 59; no. 3; pp. 2217-2230; doi:10.1016/j.neuroimage.2011.09.085