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Publications

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2110 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
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
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
Automatic ROI selection in structural brain MRI using SOM 3D projection
Ortiz, A., Górriz, J. M., Ramírez, J., & Martinez-Murcia, F. J.
PMID: 24728041 ; PMCID:3984096 ; 2014; Journal PloS One; vol. 9; no. 4; pp. 1-12; doi:10.1371/journal.pone.0093851
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
Prognostic classification of mild cognitive impairment and Alzheimer's disease: MRI independent component analysis
Auriel A. Willette, Vince D. Calhoun, Josephine M. Egan, and Dimitrios Kapogiannis.
PMID: 25194437 ; PMCID:4586157 ; 2014; Journal Psychiatry Research; vol. 224; no. 2; pp. 81-88; doi:10.1016/j.pscychresns.2014.08.005
Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Pipitone J1, Park MT2, Winterburn J2, Lett TA3, Lerch JP4, Pruessner JC5, Lepage M6, Voineskos AN7, Chakravarty MM8; Alzheimer's Disease Neuroimaging Initiative.
PMID: 20042704 ; PMCID:2809036 ; 2014; Journal Neurology; vol. 74; no. 3; pp. 201-9;
Alzheimer'sdisease Neuroimaging Initiative1. Amygdalar atrophy in early Alzheimer's disease.
Klein-Koerkamp Y, Heckemann RA, Ramdeen KT, Moreaud O, Keignart S, Krainik A, Hammers A, Baciu M, Hot P;
2014; Journal Current Alzheimer's Research; vol. 11; no. 3; pp. 239-52;
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