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1736 Total Publications

The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer’s disease.
Wu, X., Li, J., Ayutyanont, N., Protas, H., Jagust, W., Fleisher, A., … Chen, K.
2013; Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics; vol. 10; no. 1; pp. 173-80; doi:10.1109/TCBB.2012.141
Arterial spin labeled MRI in prodromal Alzheimer’s disease: A multi-site study.
Wang, Z., Das, S. R., Xie, S. X., Arnold, S. E., Detre, J. A., & Wolk, D. A.
2013; Journal Neuroimage: Clinical; vol. 2; pp. 630-6; doi:10.1016/j.nicl.2013.04.014
White Matter Abnormalities and Structural Hippocampal Disconnections in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease.
Rowley, J., Fonov, V., Wu, O., Eskildsen, S. F., Schoemaker, D., Wu, L., … Rosa-Neto, P.
2013; Journal PloS One; vol. 8; no. 9; pp. 1-13; doi:10.1371/journal.pone.0074776
Longitudinal progression of cognitive decline correlates with changes in the spatial pattern of brain 18F-FDG PET.
Shokouhi, S., Claassen, D., Kang, H., Ding, Z., Rogers, B., Mishra, A., & Riddle, W. R.
2013; Journal Journal of Nuclear Medicine; vol. 54; no. 9; pp. 1564-9; doi:10.2967/jnumed.112.116137
Dynamics of brain structure and cognitive function in the Alzheimer’s disease neuroimaging initiative.
Song, X., Mitnitski, A., Zhang, N., Chen, W., & Rockwood, K.
2013; Journal Journal of Neurology, Neurosurgery, and Psychiatry; vol. 84; no. 1; pp. 71-8; doi:10.1136/jnnp-2012-303579
Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods.
Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M., Mathis, C. a, Jagust, W. J., & Mintun, M. a.
2013; Journal Journal of Nuclear Medicine; vol. 54; no. 1; pp. 70-7; doi:10.2967/jnumed.112.109009
Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease.
Lambert, J. C., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., … Amouyel, P.
2013; Journal Nature Genetics; vol. 45; no. 12; pp. 1452-8; doi:10.1038/ng.2802
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging.
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
2013; Journal Neuroimage: Clinical; vol. 3; pp. 180-95; doi:10.1016/j.nicl.2013.07.006
Accurate multimodal probabilistic prediction of conversion to Alzheimer’s disease in patients with mild cognitive impairment.
Young, J., Modat, M., Cardoso, M. J., Mendelson, A., Cash, D., & Ourselin, S.
2013; Journal Neuroimage: Clinical; vol. 2; no. 1; pp. 735-745; doi:10.1016/j.nicl.2013.05.004
Random forest and gene networks for association of SNPs to Alzheimer’s disease.
Araujo G, Souza M, Oliveira JRM, Costa I.
2013; Journal Advances in Bioinformatics and Computational Biology;