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3393 Total Publications

Learning-Based Atlas Selection for Multiple-Atlas Segmentation
Sanroma G, Wu G, Gao Y, Shen D.
PMID: 25485313 ; PMCID:4254783 ; 2014; Journal Conf Comput Vis Pattern Recognit Workshops; vol. 2014; pp. 3111-3117; doi:10.1109/CVPR.2014.398
Apolipoprotein E epsilon 4 allele is associated with ventricular expansion rate and surface morphology in dementia and normal aging
Roussotte, F. F., Gutman, B. a, Madsen, S. K., Colby, J. B., Narr, K. L., & Thompson, P. M.
PMID: 24411483 ; PMCID:3961511 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 6; pp. 1309-17; doi:10.1016/j.neurobiolaging.2013.11.030
Disease progression model for Clinical Dementia Rating-Sum of Boxes in mild cognitive impairment and Alzheimer's subjects from the Alzheimer's Disease Neuroimaging Initiative
Samtani, M. N., Raghavan, N., Novak, G., Nandy, P., & Narayan, V. A.
PMID: 24926196 ; PMCID:4049432 ; 2014; Journal Neuropsychiatric Disease and Treatment; vol. 10; pp. 929-52; doi:10.2147/NDT.S62323
Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome
Varon, D., Barker, W., Loewenstein, D., Greig, M., Bohorquez, A., Santos, I., … Duara, R.
PMID: 24816477 ; 2014; Journal International Journal of Geriatric Psychiatry; pp. 192-200; doi:10.1002/gps.4126
Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure
Warstadt NM1, Dennis EL1, Jahanshad N1, Kohannim O2, Nir TM1, McMahon KL3, de Zubicaray GI4, Montgomery GW5, Henders AK5, Martin NG5, Whitfield JB5, Jack CR Jr6, Bernstein MA6, Weiner MW7, Toga AW8, Wright MJ9, Thompson PM10; Alzheimer's Disease Neuroimaging Initiative (ADNI).
PMID: 24997672 ; PMCID:4198330 ; 2014; Journal Neurobiol Aging; vol. 35; no. 11; pp. 2504-2513; doi:10.1016/j.neurobiolaging.2014.05.024
Structural brain changes associated with depressive symptoms in the elderly with Alzheimer’s disease
Structural brain changes associated with depressive symptoms in the elderly with Alzheimer’s disease.
PMID: 24421287 ; 2014; Journal Journal of Neurology, Neurosurgery, and Psychiatry; vol. 85; no. 8; pp. 930-5; doi:10.1136/jnnp-2013-307110
Hierarchical multivariate covariance analysis of metabolic connectivity
Carbonell, F., Charil, A., Zijdenbos, A. P., Evans, A. C., & Bedell, B. J.
PMID: 25294129 ; PMCID:4269748 ; 2014; Journal Journal of Cerebral Blood Flow and Metabolism; vol. 34; no. 12; pp. 1936-63; doi:10.1038/jcbfm.2014.165
Ptau-Aβ42 ratio as a continuous trait for biomarker discovery for early stage Alzheimer’s disease in multiplex immunoassay panels of Cerebrospinal fluid
Harari, O., Cruchaga, C., Kauwe, J. S. K., Ainscough, B. J., Bales, K., Pickering, E. H., … Goate, A. M.
PMID: 24548642 ; PMCID:4007142 ; 2014; Journal Biological Psychiatry; vol. 75; no. 9; pp. 723-31; doi:10.1016/j.biopsych.2013.11.032
Multi-Channel neurodegenerative pattern analysis and its applicationin Alzheimer’s disease characterization
Liu, S., Cai, W., Wen, L., Feng, D. D., Pujol, S., Kikinis, R., … Eberl, S.
PMID: 24933011 ; PMCID:4135007 ; 2014; Journal Computerized Medical Imaging and Graphics; vol. 38; no. 6; pp. 436-444; doi:10.1016/j.compmedimag.2014.05.003
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis
Liu, M., Zhang, D., & Shen, D.
PMID: 24338729 ; PMCID:4058415 ; 2014; Journal Neuroinformatics; vol. 12; no. 3; pp. 381-94; doi:10.1007/s12021-013-9218-x