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Publications

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1800 Total Publications

Insulin Resistance Predicts Medial Temporal Hypermetabolism in Mild Cognitive Impairment Conversion to Alzheimer Disease.
Willette AA, Modanlo N, Kapogiannis D, for the Alzheimer’s Disease Neuroimaging Initiative.
2015; Journal Diabetes; vol. 64; no. 6; pp. 1933-1940; AWUVMFh7MOwVf_qbJr9C doi:10.2337/db14-1507.
Is there an MCI reversion to cognitively normal? Analysis of Alzheimer’s disease biomarkers profiles.
Park, M. H., & Han, C.
2015; Journal International Psychogeriatrics; vol. 27; no. 3; pp. 429-37; AWUVMFh7MOwVf_qbJr9D doi:10.1017/S1041610214002129
Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study.
Klöppel S, Peter J, Ludl A, et al.
2015; Journal Journal of Alzheimer's Disease; AWUVMFh7MOwVf_qbJr9F doi:http://content.iospress.com/articles/journal-of-alzheimers-disease/jad150334
Marked gender differences in progression of mild cognitive impairment over 8 years.
Katherine A Lin, Kingshuk Roy Choudhury, PhD, Bharath G Rathakrishnan, David M Marks, MD, Jeffrey R Petrella, MD, P Murali Doraiswamy, MBBS FRCP, and the Alzheimer's Disease Neuroimaging Initiative.
2015; Journal Alzheimer's and Dementia; vol. 1; no. 2; pp. 103-110; AWUVKtlhdzjauPDbjhrm
MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection
J. Doshi, G. Erus, Y. Ou, S. M. Resnick, R. C. Gur, R. E. Gur, T. D. Satterthwaite, S. Furth, C. Davatzikos and I. Alzheimer's Neuroimaging
2015; Journal Neuroimage; vol. 127; pp. 186-195; AWUVOl88MOwVf_qbJr9o doi:10.1016/j.neuroimage.2015.11.073
A Novel Study Paradigm for Long-term Prevention Trials in Alzheimer Disease: The Placebo Group Simulation Approach (PGSA): Application to MCI data from the NACC database
Berres, M., Kukull, W. A., Miserez, A. R., Monsch, A. U., Monsell, S. E., & Spiegel, R.
PMID: 25530953 ; PMCID:4268776 ; 2014; Journal Journal of Prevention of Alzheimer's Disease; vol. 1; no. 2; pp. 99-109; AWTX50iGMOwVf_qbJr27
Predicting Progression of Alzheimer’s Disease Using Ordinal Regression
Doyle, O. M., Westman, E., Marquand, A. F., Mecocci, P., Vellas, B., Tsolaki, M., … Simmons, A.
PMID: 25141298 ; PMCID:4139338 ; 2014; Journal PloS One; vol. 9; no. 8; pp. e105542; AWTYFMuTwAl_G9zjEvYc doi:10.1371/journal.pone.0105542
A Brief History of Voxel-Based Grey Matter Analysis in Alzheimer's Disease
Diaz-de-Grenu, L. Z., Acosta-Cabronero, J., Chong, Y. F. V., Pereira, J. M. S., Sajjadi, S. a, Williams, G. B., & Nestor, P. J.
PMID: 24037033 ; 2014; Journal Journal of Alzheimer's Disease; vol. 38; no. 3; pp. 647-59; AWTX3nNtMOwVf_qbJr1l doi:10.3233/JAD-130362
Multiple Kernel Learning with Random Effects for Predicting Longitudinal Outcomes and Data Integration
Liu, F., Zhou, L., Shen, C., & Yin, J.
PMID: 26177419 ; PMCID:4713389 ; 2014; Journal IEEE Journal of Biomedical and Health Informatics; vol. 18; no. 3; pp. 984-990; AWTX7-JeMOwVf_qbJr3p doi:10.1109/JBHI.2013.2285378
Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI
Hidalgo-Muñoz, A. R., Ramírez, J., Górriz, J. M., & Padilla, P.
PMID: 24026422 ; PMCID:3929832 ; 2014; Journal Frontiers in Aging Neuroscience; vol. 6; pp. 20; AWTYH9GudzjauPDbjhmj doi:10.3389/fnagi.2014.000