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Publications

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1739 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
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
Computational genetics analysis of grey matter density in Alzheimer’s disease
Zieselman AL1, Fisher JM1, Hu T1, Andrews PC1, Greene CS1, Shen L2, Saykin AJ2, Moore JH1
PMID: 25165488 ; PMCID:25165488 ; 2014; Journal BioData Min; vol. 7; pp. 17; doi:10.1186/1756-0381-7-17
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
A data-driven model of biomarker changes in sporadic Alzheimer's disease
Young, A. L., Oxtoby, N. P., Daga, P., Cash, D. M., Fox, N. C., Ourselin, S., … Alexander, D. C.
PMID: 25012224 ; PMCID:4132648 ; 2014; Journal Brain; vol. 137; no. 9; pp. 2564-77; doi:10.1093/brain/awu176
Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning
Mukherjee, S., Kim, S., Ramanan, V. K., Gibbons, L. E., Nho, K., Glymour, M. M., … Crane, P. K.
PMID: 24072271 ; PMCID:3944472 ; 2014; Journal Brain Imaging and Behaviour; vol. 8; no. 1; pp. 110-8; doi:10.1007/s11682-013-9259-7
Multi-Atlas Based Representations for Alzheimer’s Disease Diagnosis
Min, R., Wu, G., Cheng, J., Wang, Q., & Shen, D.
PMID: 24753060 ; PMCID:4169318 ; 2014; Journal Human Brain Mapping; vol. 35; no. 10; pp. 5052-70; doi:10.1002/hbm.22531
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