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3393 Total Publications

Impact of the Alzheimer’s Disease Neuroimaging Initiative, 2004 to 2014
Weiner MW1, Veitch DP2, Aisen PS3, Beckett LA4, Cairns NJ5, Cedarbaum J6, Donohue MC7, Green RC8, Harvey D4, Jack CR Jr9, Jagust W10, Morris JC11, Petersen RC12, Saykin AJ13, Shaw L14, Thompson PM15, Toga AW16, Trojanowski JQ17; Alzheimer's Disease Neuroimaging Initiative.
PMID: 26194320 ; PMCID:4659407 ; 2015; Journal Alzheimers Dement; vol. 11; no. 7; pp. 865-84; doi:10.1016/j.jalz.2015.04.005
Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer’s disease: a machine learning approach.
Salvatore C, Cerasa A, Battista P, et al.
2015; Journal Frontiers in Neuroscience;
New scoring methodology improves the sensitivity of the Alzheimer’s Disease Assessment Scale-Cognitive subscale (ADAS-Cog) in clinical trials.
Verma N, Beretvas SN, Pascual B, Masdeu JC, Markey MK.
2015; Journal Alzheimer's Research and Therapy; vol. 7; no. 1; pp. 64;
BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER’S DISEASE.
Eunjee Lee, Hongtu Zhu, Dehan Kong, Yalin Wang, Kelly Sullivan Giovanello, and Joseph G Ibrahim, for the Alzheimer’s Disease Neuroimaging Initiative.
2015; Journal Annals of Applied Statistics; vol. 9; no. 4; pp. 2153-2178;
Amyloid Beta-Weighted Cortical Thickness: A New Imaging Biomarker in Alzheimer’s Disease.
Mi Kim C, Hwang J, Lee J-M, et al.
2015; Journal Current Alzheimer's Research;
Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer’s disease.
Ota K, Oishi N, Ito K, Fukuyama H.
2015; Journal Journal of Neuroscience Methods; vol. 256; pp. 168-83;
CFH Variants Affect Structural and Functional Brain Changes and Genetic Risk of Alzheimer’s Disease.
Zhang, D.-F., Li, J., Wu, H., Cui, Y., Bi, R., Zhou, H.-J., … Yao, Y.-G.
2015; Journal Neuropsychopharmacology; doi:10.1038/npp.2015.232
Spectral Laplace-Beltrami wavelets with applications in medical images.
Tan, M., & Qiu, A.
2015; Journal IEEE Transactions on Medical Imaging; vol. 34; no. 5; pp. 1005-17; doi:10.1109/TMI.2014.2363884
Brain collection, standardized neuropathologic assessment, and comorbidity in ADNI participants
Franklin, E. E., Perrin, R. J., Vincent, B., Baxter, M., Morris, J. C., & Cairns, N. J.
PMID: 26194314 ; PMCID:4511380 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 7; pp. 815-22; doi:10.1016/j.jalz.2015.05.010
The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity
Frisoni, G. B., Jack, C. R., Bocchetta, M., Bauer, C., Frederiksen, K. S., Liu, Y., … Initiative, E.-A. W. G. on T. H. P. for M. H. V. and for the A. D. N.
PMID: 25267715 ; PMCID:4422168 ; 2015; Journal Alzheimer's and Dementia; vol. 11; pp. 111-125; doi:10.1016/j.jalz.2014.05.1756