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1736 Total Publications

Random Forest ensembles for detection and prediction of Alzheimer3s disease with a good between-cohort robustness
A.V. Lebedev, E. Westman, G.J.P. Van Westen, M.G. Kramberger, A. Lundervold, D. Aarsland, H. Soininen, I. Kłoszewska, P. Mecocci, M. Tsolaki, B. Vellas, S. Lovestone, A. Simmons, and for the Alzheimer's Disease Neuroimaging Initiative and the AddNeuroMed consortium.
PMID: 25379423 ; PMCID:4215532 ; 2014; Journal Neuroimage: Clinical; vol. 6; pp. 115-125; doi:10.1016/j.nicl.2014.08.023
Association of brain amyloid-β with cerebral perfusion and structure in Alzheimer’s disease and mild cognitive impairment
Mattsson, N., Tosun, D., Insel, P. S., Simonson, A., Jack, C. R., Beckett, L. a., … Weiner, M. W.
PMID: 24625697 ; PMCID:3999717 ; 2014; Journal Brain; vol. 137; no. 5; pp. 1550-1561; doi:10.1093/brain/awu043
Diagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer’s disease
Mattsson, N., Insel, P. S., Landau, S., Jagust, W., Donohue, M., Shaw, L. M., … Weiner, M.
PMID: 25356425 ; PMCID:4184556 ; 2014; Journal Annals of Clinical and Translational Neurology; vol. 1; no. 8; pp. 534-43; doi:10.1002/acn3.81
Distinct pattern of hypometabolism and atrophy in preclinical and predementia Alzheimer’s disease
Kljajevic V1, Grothe MJ2, Ewers M3, Teipel S4; Alzheimer's Disease Neuroimaging Initiative
PMID: 24811241 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 9; pp. 1973-81; doi:10.1016/j.neurobiolaging.2014.04.006
Differences in early and late mild cognitive impairment tractography using a diffusion tensor MRI
Lee, S.-H., Seo, J., Lee, J.-M., & Park, H.
PMID: 25325351 ; 2014; Journal Neuroreport; vol. 25; no. 17; pp. 1393-8; doi:10.1097/WNR.0000000000000279
A Versatile Omnibus Test for Detecting Mean and Variance Heterogeneity
Cao, Y., Wei, P., Bailey, M., Kauwe, J. S. K., & Maxwell, T. J.
PMID: 24482837 ; PMCID:4019404 ; 2014; Journal Genetics Epidemiology; vol. 38; no. 1; pp. 51-59; doi:10.1002/gepi.21778
The Italian Alzheimer’s Disease Neuroimaging Initiative (I-ADNI): Validation of Structural MR Imaging
Cavedo, E., Redolfi, A., Angeloni, F., Babiloni, C., Lizio, R., Chiapparini, L., … Frisoni, G. B.
PMID: 24577455 ; 2014; Journal Journal of Alzheimer's Disease; vol. 40; no. 4; pp. 941-52; doi:10.3233/JAD-132666
Unsupervised segmentation, clustering, and groupwise registration of heterogeneous populations of brain MR images
Ribbens, A., Hermans, J., Maes, F., Vandermeulen, D., & Suetens, P.
PMID: 23797244 ; 2014; Journal IEEE Transactions on Medical Imaging; vol. 33; no. 2; pp. 201-24; doi:10.1109/TMI.2013.2270114
A Robust Deep Model for Improved Classification of AD/MCI Patients
Li, F., Tran, L., Thung, K.-H., Ji, S., Shen, D., & Li, J.
PMID: 25955998 ; PMCID:4573581 ; 2014; Journal Machine Learning in Medical Imaging; vol. 8679; pp. 240-247; doi:10.1007/978-3-319-10581-9_30