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Publications

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1739 Total Publications

Meta-analysis based SVM classification enables accurate detection of Alzheimer’s disease across different clinical centers using FDG-PET and MRI.
Dukart, J., Mueller, K., Barthel, H., Villringer, A., Sabri, O., & Schroeter, M. L.
2013; Journal Psychiatry Research-Neuroimaging; vol. 212; no. 3; pp. 230-236; doi:10.1016/j.pscychresns.2012.04.007
Subgroup of ADNI normal controls characterized by atrophy and cognitive decline associated with vascular damage.
Nettiksimmons, J., Beckett, L., Schwarz, C., Carmichael, O., Fletcher, E., & Decarli, C.
2013; Journal Psychology and Aging; vol. 28; no. 1; pp. 191-201; doi:10.1037/a0031063
Integrating discretization and association rule-based classification for Alzheimer’s disease diagnosis.
Chaves, R., Ramírez, J., & Górriz, J. M.
2013; Journal Expert Systems with Applications; vol. 40; no. 5; pp. 1571-1578; doi:10.1016/j.eswa.2012.09.003
Combining boundary-based methods with tensor-based morphometry in the measurement of longitudinal brain change.
Fletcher, E., Knaack, A., Singh, B., Lloyd, E., Wu, E., Carmichael, O., & DeCarli, C.
2013; Journal IEEE Transactions on Medical Imaging; vol. 32; no. 2; pp. 223-36; doi:10.1109/TMI.2012.2220153
Brain changes in older adults at very low risk for Alzheimer’s disease.
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B.
2013; Journal Journal of Neuroscience; vol. 33; no. 19; pp. 8237-42; doi:10.1523/JNEUROSCI.5506-12.2013
Cognitive dysfunction and greater visit-to-visit systolic blood pressure variability.
Epstein, N. U., Lane, K. A., Farlow, M. R., Risacher, S. L., Saykin, A. J., Gao, S., … Gao, S.
2013; Journal Journal of the American Geriatrics Society; vol. 61; no. 12; pp. 2168-2173; doi:10.1111/jgs.12542
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
Bernal-Rusiel, J. L., Greve, D. N., Reuter, M., Fischl, B., & Sabuncu, M. R.
2013; Journal Neuroimage; vol. 66; pp. 249-260; doi:10.1016/j.neuroimage.2012.10.065
Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer’s disease.
Park, H., Yang, J. J., Seo, J., & Lee, J. M.
2013; Journal Neuroscience Letters; vol. 550; pp. 17-22; doi:10.1016/j.neulet.2013.06.042
Criteria for Mild Cognitive Impairment Due to Alzheimer’s Disease in the Community
Petersen, R. C., Aisen, P., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Knopman, D. S., … Jack, C. R.
PMID: 23686697 ; PMCID:3804562 ; 2013; Journal Annals of Neurology; vol. 74; no. 2; pp. 507-538; doi:10.1002/ana.23931
Cognitive reserve associated with FDG-PET in preclinical Alzheimer disease
Ewers, M., Insel, P. S., Stern, Y., Weiner, M. W., & (ADNI), A. D. N. I.
PMID: 23486873 ; PMCID:3691784 ; 2013; Journal Neurology; vol. 80; no. 13; pp. 1194-1201; doi:10.1212/WNL.0b013e31828970c2