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3740 Total Publications

Fast and accurate modelling of longitudinal and repeated measures neuroimaging data.
Guillaume, B., Hua, X., Thompson, P. M., Waldorp, L., & Nichols, T. E.
2014; Journal Neuroimage; vol. 94; pp. 287-302; doi:10.1016/j.neuroimage.2014.03.029

Cerebrospinal Fluid b-Amyloid and Phospho-Tau Biomarker Interactions Affecting Brain Structure in Preclinical Alzheimer Disease
Fortea, J., Vilaplana, E., Alcolea, D., Carmona-Iragui, M., Sánchez-Saudinos, M. B., Sala, I., … Lleó, A.
PMID: 24852682 ; 2014; Journal Annals of Neurology; vol. 76; no. 2; pp. 223-30; doi:10.1002/ana.24186

ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease impairment and Alzheimer's disease
Apostolova, L. G., Hwang, K. S., Kohannim, O., Avila, D., Elashoff, D., Jack, C. R., … Thompson, P. M.
PMID: 24634832 ; PMCID:3952354 ; 2014; Journal Neuroimage: Clinical; vol. 4; pp. 461-72; doi:10.1016/j.nicl.2013.12.012

CSF beta-amyloid 1–42 – what are we measuring in Alzheimer’s disease?
Hu WT1, Watts KD2, Shaw LM3, Howell JC1, Trojanowski JQ3, Basra S2, Glass JD1, Lah JJ1, Levey AI1
PMID: 25750918 ; PMCID:4338954 ; 2014; Journal Ann Clin Transl Neurol. ; vol. 2; no. 2; pp. 131-9; doi:10.1002/acn3.160

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness
Kim, W. H., Singh, V., Chung, M. K., Hinrichs, C., Pachauri, D., Okonkwo, O. C., & Johnson, S. C.
PMID: 24614060 ; PMCID:4095794 ; 2014; Journal Neuroimage; vol. 93; no. 1; pp. 107-123; doi:10.1016/j.neuroimage.2014.02.028

Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates
Bondi, M. W., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., … Salmon, D. P.
PMID: 24844687 ; PMCID:4133291 ; 2014; Journal Journal of Alzheimer's Disease; vol. 42; no. 1; pp. 275-89; doi:10.3233/JAD-140276

Cholinergic basal forebrain atrophy predicts amyloid burden in Alzheimer’s disease
Stefan Teipel, Helmut Heinsen, Edson Amaro, Jr., Lea T. Grinberg, Bernd Krause, and Michel Grothe, for the Alzheimer’s Disease Neuroimaging Initiative.
PMID: 24176625 ; PMCID:4120959 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 3; pp. 482-491; doi:10.1016/j.neurobiolaging.2013.09.029

Multiple instance learning for classification of dementia in brain MRI
Tong, T., Wolz, R., Gao, Q., Guerrero, R., Hajnal, J. V, & Rueckert, D.
PMID: 24858570 ; 2014; Journal Medical Image Analysis; vol. 18; no. 5; pp. 808-818; doi:10.1016/j.media.2014.04.006

Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer’s dementia
Trzepacz, P. T., Yu, P., Sun, J., Schuh, K., Case, M., Witte, M. M., … Hake, A.
PMID: 23954175 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 1; pp. 143-151; doi:10.1016/j.neurobiolaging.2013.06.018

Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso
Tsao S1, Gajawelli N2, Zhou J3, Shi J3, Ye J3, Wang Y3, Lepore N2.
PMID: 25076826 ; PMCID:4112760 ; 2014; Journal Proc SPIE Int Soc Opt Eng; pp. 9034; doi:10.1117/12.2042720