4453 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
Operationalizing hippocampal volume as an enrichment biomarker for amnestic MCI trials: effect of algorithm, test-retest variability and cut-point on trial cost, duration and sample size
Yu, P., Sun, J., Wolz, R., Stephenson, D., Brewer, J., Fox, N. C., … Schwarz, A. J.
PMID: 24211008
;
PMCID:4201941
; 2014; Journal Neurobiology of Aging; vol. 35; pp. 808-818;
doi:10.1016/j.neurobiolaging.2013.09.039
Integration and relative value of biomarkers for prediction of MCI to AD progression: Spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.
Da, X., Toledo, J. B., Zee, J., Wolk, D. a., Xie, S. X., Ou, Y., … Davatzikos, C.
2014; Journal Neuroimage: Clinical; vol. 4; pp. 164-173;
doi:10.1016/j.nicl.2013.11.010
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