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Publications

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1739 Total Publications

Early detection of Alzheimer's disease using MRI hippocampal texture.
L. Sorensen, C. Igel, N. Liv Hansen, M. Osler, M. Lauritzen, E. Rostrup, M. Nielsen, I. Alzheimer's Disease Neuroimaging, B. the Australian Imaging and A. Lifestyle Flagship Study of
PMID: 26686837 ; 2015; Journal Hum Brain Mapp; vol. 37; no. 3; pp. 1148-61; doi:10.1002/hbm.23091

Corpus Callosum Atrophy Rate in Mild Cognitive Impairment and Prodromal Alzheimer’s Disease
Elahi, S., Bachman, A. H., Lee, S. H., Sidtis, J. J., & Ardekani, B. A.
PMID: 25633676 ; PMCID:4451933 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 3; pp. 921-31; doi:10.3233/JAD-142631

Exploring Multifractal-Based Features for Mild Alzheimer’s Disease Classification
Ni, H., Zhou, L., Ning, X., & Wang, L.
PMID: 26193379 ; 2015; Journal Magnetics Resonance in Medicine; vol. 76; no. 1; pp. 259-69; doi:10.1002/mrm.25853

Amyloid PET in European and North American cohorts; and exploring age as a limit to clinical use of amyloid imaging
Chiotis, K., Carter, S. F., Farid, K., Savitcheva, I., & Nordberg, A.
PMID: 26130168 ; PMCID:4521094 ; 2015; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 42; no. 10; pp. 1492-506; doi:10.1007/s00259-015-3115-5

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

Probability distribution function-based classification of structural MRI for the detection of Alzheimer’s disease
Beheshti, I., & Demirel, H.
PMID: 26226415 ; 2015; Journal Computers in Biology and Medicine; vol. 64; pp. 208-16; doi:10.1016/j.compbiomed.2015.07.006

Improved longitudinal [18F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction
Brendel, M., Högenauer, M., Delker, A., Sauerbeck, J., Bartenstein, P., Seibyl, J., & Rominger, A.
PMID: 25482269 ; 2015; Journal Neuroimage; vol. 108; pp. 450-459; doi:10.1016/j.neuroimage.2014.11.055

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

Variations in the FRA10AC1 Fragile Site and 15q21 Are Associated with Cerebrospinal Fluid Aβ1-42 Level
Li, Q. S., Parrado, A. R., Samtani, M. N., & Narayan, V. A.
PMID: 26252872 ; PMCID:4529186 ; 2015; Journal PloS One; vol. 10; no. 8; pp. e0134000; doi:10.1371/journal.pone.0134000

Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE
Ayton, S., Faux, N. G., & Bush, A. I.
PMID: 25988319 ; PMCID:4479012 ; 2015; Journal Nature Communications; vol. 6; pp. 6760; doi:10.1038/ncomms7760