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2110 Total Publications

Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging
M. Dadar, J. Maranzano, K. Misquitta, C. J. Anor, V. S. Fonov, M. C. Tartaglia, O. T. Carmichael, C. Decarli, D. L. Collins and I. Alzheimer's Disease Neuroimaging
2017; Journal Neuroimage; vol. 157; pp. 233-249; doi:10.1016/j.neuroimage.2017.06.009
Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score
R. S. Desikan, C. C. Fan, Y. Wang, A. J. Schork, H. J. Cabral, L. A. Cupples, W. K. Thompson, L. Besser, W. A. Kukull, D. Holland, C. H. Chen, J. B. Brewer, D. S. Karow, K. Kauppi, A. Witoelar, C. M. Karch, L. W. Bonham, J. S. Yokoyama, H. J. Rosen, B. L. Miller, W. P. Dillon, D. M. Wilson, C. P. Hess, M. Pericak-Vance, J. L. Haines, L. A. Farrer, R. Mayeux, J. Hardy, A. M. Goate, B. T. Hyman, G. D. Schellenberg, L. K. McEvoy, O. A. Andreassen and A. M. Dale
PMCID:5360219 ; 2017; Journal PLoS Med; vol. 14; no. 3; pp. e1002258; doi:10.1371/journal.pmed.1002258
Structural MRI-based detection of Alzheimer’s disease using feature ranking and classification error
I. Beheshti, H. Demirel, F. Farokhian, C. Yang, H. Matsuda and I. Alzheimer's Disease Neuroimaging
PMID: 28110723 ; 2016; Journal Comput Methods Programs Biomed; vol. 137; pp. 177-193; doi:10.1016/j.cmpb.2016.09.019
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease
X. Wang, D. Shen and H. Huang
PMID: 28149965 ; PMCID:5278819 ; 2016; Journal Med Image Comput Comput Assist Interv; vol. 9900; pp. 273-281; doi:10.1007/978-3-319-46720-7_32
Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression
H. Zetterberg, T. Skillback, N. Mattsson, J. Q. Trojanowski, E. Portelius, L. M. Shaw, M. W. Weiner, K. Blennow and A. s. D. N. Initiative
PMID: 26524180 ; PMCID:5624219 ; 2016; Journal JAMA Neurol; vol. 73; no. 1; pp. 60-7; doi:10.1001/jamaneurol.2015.3037
Morphometricity as a measure of the neuroanatomical signature of a trait
M. R. Sabuncu, T. Ge, A. J. Holmes, J. W. Smoller, R. L. Buckner, B. Fischl and I. Alzheimer's Disease Neuroimaging
PMID: 27613854 ; PMCID:5047166 ; 2016; Journal Proc Natl Acad Sci U S A; vol. 113; no. 39; pp. E5749-56; doi:10.1073/pnas.1604378113
A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease
T. Tong, Q. Gao, R. Guerrero, C. Ledig, L. Chen, D. Rueckert and A. s. d. n. initiative
PMID: 27046891 ; 2016; Journal IEEE Trans Biomed Eng; vol. 64; no. 1; pp. 155-165; doi:10.1109/TBME.2016.2549363
What are the Most Frequently Impaired Markers of Neurodegeneration in ADNI Subjects?
Andriuta D1, Moullart V2, Schraen S3, Devendeville A1,4, Meyer ME2, Godefroy O1; Alzheimer’s Disease Neuroimaging.
PMID: 26923012 ; 2016; Journal Journal of Alzheimer's Disease; vol. 51; no. 3; pp. 793-800; doi:10.3233/JAD-150829
Metabolic connectomics targeting brain pathology in dementia with Lewy bodies
S. P. Caminiti, M. Tettamanti, A. Sala, L. Presotto, S. Iannaccone, S. F. Cappa, G. Magnani, D. Perani and I. Alzheimer's Disease Neuroimaging
PMID: 27306756 ; PMCID:5453453 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 4; pp. 1311-1325; doi:10.1177/0271678X16654497