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2110 Total Publications

Mild cognitive impairment with suspected nonamyloid pathology (SNAP)
Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., … Frisoni, G. B.
PMID: 25568301 ; PMCID:4336071 ; 2015; Journal Neurology; vol. 84; no. 5; pp. 508-515; doi:10.1212/WNL.0000000000001209
Feature Selection Based on the SVM Weight Vector for Classification of Dementia
Bron, E., Smits, M., Niessen, W., & Klein, S.
PMID: 25974958 ; 2015; Journal IEEE Journal of Biomedical and Health Informatics; vol. 19; no. 5; pp. 1617-1626; doi:10.1109/JBHI.2015.2432832
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., … Klein, S.
PMID: 25652394 ; PMCID:4943029 ; 2015; Journal Neuroimage; vol. 111; pp. 562-579; doi:10.1016/j.neuroimage.2015.01.048
The Effect of Age Correction on Multivariate Classification in Alzheimer’s Disease, with a Focus on the Characteristics of Incorrectly and Correctly Classified Subjects
F. Falahati, D. Ferreira, H. Soininen, P. Mecocci, B. Vellas, M. Tsolaki, I. Kloszewska, S. Lovestone, M. Eriksdotter, L. O. Wahlund, A. Simmons, E. Westman, c. AddNeuroMed and I. the Alzheimer's Disease Neuroimaging
PMID: 26440606 ; PMCID:4754326 ; 2015; Journal Brain Topogr; vol. 29; no. 2; pp. 296-307; doi:10.1007/s10548-015-0455-1
Feature-ranking-based Alzheimer’s disease classification from structural MRI
I. Beheshti, Demirel and A. s. D. N. Initiative
PMID: 26657976 ; 2015; Journal Magnetic resonance imaging; vol. 34; no. 3; pp. 252-263; doi:10.1016/j.mri.2015.11.009
Quantitative validation of a visual rating scale for frontal atrophy: associations with clinical status, APOE e4, CSF biomarkers and cognition
D. Ferreira, L. Cavallin, T. Granberg, O. Lindberg, C. Aguilar, P. Mecocci, B. Vellas, M. Tsolaki, I. Kloszewska, H. Soininen, S. Lovestone, A. Simmons, L. O. Wahlund, E. Westman, c. AddNeuroMed and I. for the Alzheimer's Disease Neuroimaging
PMID: 26560730 ; 2015; Journal Eur Radiol; vol. 26; no. 8; pp. 2597-610; doi:10.1007/s00330-015-4101-9
Neuropsychological Testing Predicts Cerebrospinal Fluid Amyloid- in MildCognitive Impairment
Kandel, B. M., Avants, B. B., Gee, J. C., Arnold, S. E., & Wolk, D. A.
PMID: 25881908 ; PMCID:4699841 ; 2015; Journal Journal of Alzheimer's Disease; vol. 46; no. 4; pp. 901-12; doi:10.3233/JAD-142943
The Alzheimer’s Disease Neuroimaging Initiative 2 Biomarker Core: A review of progress and plans
Kang, J.-H., Korecka, M., Figurski, M. J., Toledo, J. B., Blennow, K., Zetterberg, H., … Shaw, L. M.
PMID: 26194312 ; PMCID:5127404 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 7; pp. 772-791; doi:10.1016/j.jalz.2015.05.003
Lack of an association of BDNF Val66Met polymorphism and plasma BDNF with hippocampal volume and memory
Kim, A., Fagan, A. M., Goate, A. M., Benzinger, T. L. S., Morris, J. C., & Head, D.
PMID: 25784293 ; PMCID:4529376 ; 2015; Journal Cognitive, Affective & Behavioral Neuroscience; vol. 15; no. 3; pp. 625-43; doi:10.3758/s13415-015-0343-x
Generalizability of the Disease State Index Prediction Model for Identifying Patients Progressing from Mild Cognitive Impairment to Alzheimer’s Disease
Hall, A., Muñoz-Ruiz, M., Mattila, J., Koikkalainen, J., Tsolaki, M., Mecocci, P., … Soininen, H.
PMID: 25201784 ; 2015; Journal Journal of Alzheimer's Disease; vol. 44; no. 1; pp. 79-92; doi:10.3233/JAD-140942