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Publications

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1739 Total Publications

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
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition
Wu, G., Kim, M., Sanroma, G., Wang, Q., Munsell, B. C., & Shen, D.
PMID: 25463474 ; PMCID:4285661 ; 2014; Journal Neuroimage; vol. 106; pp. 177-188; doi:10.1016/j.neuroimage.2014.11.025
Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.
Wee, C.-Y., Yap, P.-T., Zhang, D., Wang, L., & Shen, D.
2014; Journal Brain Structure and Function; vol. 219; no. 2; pp. 641-56; doi:10.1007/s00429-013-0524-8
Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer’s disease: Detecting, quantifying, and predicting.
Tang, X., Holland, D., Dale, A. M., Younes, L., & Miller, M. I.
2014; Journal Human Brain Mapping; vol. 35; no. 8; pp. 3701-3725; doi:10.1002/hbm.22431
Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer’s disease.
Proitsi, P., Lupton, M. K., Velayudhan, L., Hunter, G., Newhouse, S., Lin, K., … Powell, J. F.
2014; Journal Neurobiology of Aging; vol. 35; no. 12; pp. 2883.e3-2883.e10; doi:10.1016/j.neurobiolaging.2014.07.023
Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease.
Larroza, A., Moratal, D., D’Ocon Alcaniz, V., Arana, E., & por la Alzheimer’s Disease Neuroimaging, I.
2014; Journal Neurologia; vol. 29; no. 1; pp. 11-20; doi:10.1016/j.nrl.2013.02.002
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer’s Disease and mild cognitive impairment identification.
Liu, F., Wee, C. Y., Chen, H., & Shen, D.
2014; Journal Neuroimage; vol. 84; pp. 466-475; doi:10.1016/j.neuroimage.2013.09.015
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