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4453 Total Publications

Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis
Liu, M., Zhang, D., & Shen, D.
PMID: 24338729 ; PMCID:4058415 ; 2014; Journal Neuroinformatics; vol. 12; no. 3; pp. 381-94; doi:10.1007/s12021-013-9218-x

Multiple comparison procedures for neuroimaging genomewide association studies
Hua, W.-Y., Nichols, T. E., & Ghosh, D.
PMID: 24963012 ; PMCID:4263222 ; 2014; Journal Biostatistics; vol. 16; no. 1; pp. 17-30; doi:10.1093/biostatistics/kxu026

Development of a straightforward and sensitive scale for MCI and early AD clinical trials
Huang, Y., Ito, K., Billing, C. B., & Anziano, R. J.
PMID: 25022537 ; 2014; Journal Alzheimer's and Dementia; vol. 11; no. 4; pp. 404-414; doi:10.1016/j.jalz.2014.03.008

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

Genome-Wide Association Study of CSF Levels of 59 Alzheimer's Disease Candidate Proteins: Significant Associations with Proteins Involved in Amyloid Processing and Inflammation
Kauwe, J. S. K., Bailey, M. H., Ridge, P. G., Perry, R., Wadsworth, M. E., Hoyt, K. L., … Goate, A. M.
PMID: 25340798 ; PMCID:4207667 ; 2014; Journal PloS Genetics; vol. 10; no. 10; pp. e1004758; doi:10.1371/journal.pgen.1004758

A blood-based predictor for neocortical Ab burden in Alzheimer’s disease: results from the AIBL study
Burnham, S. C., Faux, N. G., Wilson, W., Laws, S. M., Ames, D., Bedo, J., … Villemagne, V. L.
PMID: 23628985 ; 2014; Journal Molecular Psychiatry; vol. 19; no. 4; pp. 519-26; doi:10.1038/mp.2013.40

Reliability of brain volume measurements: A test-retest dataset
Maclaren J1, Han Z1, Vos SB2, Fischbein N1, Bammer R1
PMID: 25977792 ; PMCID:4411010 ; 2014; Journal Sci Data; vol. 1; pp. 140037; doi:10.1038/sdata.2014.37

Higher homocysteine associated with thinner cortical gray matter in 803 participants from the Alzheimer’s Disease Neuroimaging Initiative
Madsen, S. K., Rajagopalan, P., Joshi, S. H., Toga, A. W., & Thompson, P. M
PMID: 25444607 ; PMCID:4268346 ; 2014; Journal Neurobiology of Aging; vol. 36; pp. S203-S210; doi:10.1016/j.neurobiolaging.2014.01.154

Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer’s disease progression
Martinez-Torteya, A., Rodriguez-Rojas, J., Celaya-Padilla, J. M., Galván-Tejada, J. I., Treviño, V., & Tamez-Peña, J.
PMID: 26158047 ; PMCID:4479020 ; 2014; Journal Journal of Medical Imaging; vol. 1; no. 3; pp. 31005; doi:10.1117/1.JMI.1.3.031005

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis
Zhu, X., Suk, H. Il, & Shen, D.
PMID: 24911377 ; PMCID:4138265 ; 2014; Journal Neuroimage; vol. 100; pp. 91-105; doi:10.1016/j.neuroimage.2014.05.078