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4453 Total Publications

Predicting MCI outcome with clinically available MRI and CSF biomarkers
Heister, D., Brewer, J. B., Magda, S., Blennow, K., & McEvoy, L. K.
PMID: 21998317 ; PMCID:3198979 ; 2011; Journal Neurology; vol. 77; no. 17; pp. 1913-1920; doi:10.1212/WNL.0b013e3182343314
Longitudinal Change of Biomarkers in Cognitive Decline
Lo, R. Y., Hubbard, A. E., Shaw, L. M., Trojanowski, J. Q., Petersen, R. C., Aisen, P. S., … Jagust, W. J.
PMID: 21670386 ; PMCID:21670386 ; 2011; Journal JAMA Neurology; vol. 68; no. 10; pp. 1257-1266; doi:10.1001/archneurol.2011.123
Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data
Bossa M1, Zacur E, Olmos S; Alzheimer's Disease Neuroimaging Initiative.
PMID: 21216295 ; PMCID:3554790 ; 2011; Journal Neuroimage; vol. 55; no. 3; pp. 999-1008; doi:10.1016/j.neuroimage.2010.12.078
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
Davatzikos, C., Bhatt, P., Shaw, L. M., Batmanghelich, K. N., & Trojanowski, J. Q.
PMID: 20594615 ; PMCID:2951483 ; 2011; Journal Neurobiology of Aging; vol. 32; no. 12; pp. 2322.e19-27; doi:10.1016/j.neurobiolaging.2010.05.023
Classification of Alzheimer’s Disease Using a Self-Smoothing Operator
Iglesias, J. E., Jiang, J., Liu, C., & Tu, Z.
PMID: 22003684 ; 2011; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 14; no. 3; pp. 58-65;