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Publications

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2110 Total Publications

Semi-supervised learning in MCI-to-AD conversion prediction - When is unlabeled data useful?
Elaheh Moradi, Jussi Tohka, Christian Gaser
2014; doi:10.1109/PRNI.2014.6858535
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
Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects.
Ewers, M., Brendel, M., Rizk-Jackson, A., Rominger, A., Bartenstein, P., Schuff, N., & Weiner, M. W.
2014; Journal Neuroimage: Clinical; vol. 4; pp. 45-52; doi:10.1016/j.nicl.2013.10.018
A point-based tool to predict conversion from MCI to probable Alzheimer’s disease
Barnes, D. E., Cenzer, I. S., Yaffe, K., Ritchie, C. S., & Lee, S. J.
PMID: 24495339 ; PMCID:4119093 ; 2014; Journal Alzheimer's and Dementia; vol. 10; pp. 1-10; doi:10.1016/j.jalz.2013.12.014
Genetic variation of oxidative phosphorylation genes in stroke and Alzheimer’s disease
Biffi A1, Sabuncu MR2, Desikan RS3, Schmansky N4, Salat DH5, Rosand J6, Anderson CD6; Alzheimer's disease Neuroimaging Initiative (ADNI)
PMID: 24650791 ; PMCID:4329419 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 8; doi:10.1016/j.neurobiolaging.2014.01.141
Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia
Bron, E. E., Steketee, R. M. E., Houston, G. C., Oliver, R. a, Achterberg, H. C., Loog, M., … Klein, S.
PMID: 24700485 ; 2014; Journal Human Brain Mapping; vol. 35; no. 9; pp. 4916-31; doi:10.1002/hbm.22522
Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM
Cong S1, Rizkalla M1, Du EY1, West J2, Risacher S2, Saykin A2, Shen L2; for the Alzheimer's Disease Neuroimaging Initiative
PMID: 25477768 ; PMCID:4248676 ; 2014; Journal Conf Proc (Midwest Symp Circuits Syst); vol. 2014; pp. 813-816; doi:10.1109/MWSCAS.2014.6908539