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Publications

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3393 Total Publications

Fully Automated Segmentation of the Pons and Midbrain Using Human T1 MR Brain Images
Nigro, S., Cerasa, A., Zito, G., Perrotta, P., Chiaravalloti, F., Donzuso, G., … Quattrone, A.
PMID: 24489664 ; PMCID:3904850 ; 2014; Journal PloS One; vol. 9; no. 1; pp. e85618; doi:10.1371/journal.pone.0085618

Variables associated with hippocampal atrophy rate in normal aging and mild cognitive impairment
Nosheny, R. L., Insel, P. S., Truran, D., Schuff, N., Jack, C. R., Aisen, P. S., … Weiner, M. W.
PMID: 25175807 ; PMCID:5832349 ; 2014; Journal Neurobiology of Aging; pp. 273-282; doi:10.1016/j.neurobiolaging.2014.07.036

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

Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer’s Disease
Li, R., Perneczky, R., Yakushev, I., Förster, S., Kurz, A., Drzezga, A., & Kramer, S.
PMID: 25919662 ; PMCID:4412726 ; 2014; Journal PloS One; vol. 10; no. 4; pp. e0122731; doi:10.1371/journal.pone.0122731

An Efficient Approach for Differentiating Alzheimer’s Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features
Li, M., Oishi, K., He, X., Qin, Y., Gao, F., & Mori, S.
PMID: 25140532 ; PMCID:4139346 ; 2014; Journal PloS One; vol. 9; no. 8; pp. e105563; doi:10.1371/journal.pone.0105563

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

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