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1736 Total Publications

Diagnostic performance of an automated analysis software for the diagnosis of Alzheimer’s dementia with 18F FDG PET
S. Partovi, R. Yuh, S. Pirozzi, Z. Lu, S. Couturier, U. Grosse, M. D. Schluchter, A. Nelson, R. Jones, J. K. O'Donnell and P. Faulhaber
PMID: 28123864 ; PMCID:5259585 ; 2017; Journal Am J Nucl Med Mol Imaging; vol. 7; no. 1; pp. 23-Dec;
Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study
S. Cai, T. Chong, Y. Peng, W. Shen, J. Li, K. M. von Deneen and L. Huang
2017; Journal Brain Imaging Behav; vol. 11; no. 3; pp. 619-631; doi:10.1007/s11682-016-9539-0
Sparse shared structure based multi-task learning for MRI based Cognitive Performance prediction of Alzheimer’s disease
P. Cao, X. Shan, D. Zhao, M. Huang and O. Zaiane
2017; Journal Pattern Recognition; vol. 72; pp. 219-235; doi:10.1016/j.patcog.2017.07.018
Application of concordance probability estimate to predict conversion from mild cognitive impairment to Alzheimer's disease
X. Han, Y. Zhang, Y. Shao and A. s. D. N. Initiative
2017; Journal Biostatistics & Epidemiology; vol. 1; no. 1; pp. 105-118; doi:10.1080/24709360.2017.1342187
Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment
T. Jacquemont, F. De Vico Fallani, A. Bertrand, S. Epelbaum, A. Routier, B. Dubois, H. Hampel, S. Durrleman, O. Colliot and I. Alzheimer's Disease Neuroimaging
2017; Journal Neurobiol Aging; vol. 55; pp. 177-189; doi:10.1016/j.neurobiolaging.2017.03.023
Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations
J. Kim, W. Pan and I. Alzheimer's Disease Neuroimaging
PMCID:5340645 ; 2017; Journal Genet Epidemiol; vol. 41; no. 3; pp. 259-277; doi:10.1002/gepi.22033
An Optimal Transportation based Univariate Neuroimaging Index
L. Mi, W. Zhang, J. Zhang, Y. Fan, D. Goradia, K. Chen, E. M. Reiman, X. Gu and Y. Wang
PMCID:5719504 ; 2017; Journal Proc IEEE Int Conf Comput Vis; vol. 2017; pp. 182-191;
Predictive modelling using neuroimaging data in the presence of confounds
A. Rao, J. M. Monteiro, J. Mourao-Miranda and I. Alzheimer's Disease
PMCID:5391990 ; 2017; Journal Neuroimage; vol. 150; pp. 23-49; doi:10.1016/j.neuroimage.2017.01.066
Targeted metabolomics and medication classification data from participants in the ADNI1 cohort
L. St John-Williams, C. Blach, J. B. Toledo, D. M. Rotroff, S. Kim, K. Klavins, R. Baillie, X. Han, S. Mahmoudiandehkordi, J. Jack, T. J. Massaro, J. E. Lucas, G. Louie, A. A. Motsinger-Reif, S. L. Risacher, I. Alzheimer's Disease Neuroimaging, C. Alzheimer's Disease Metabolomics, A. J. Saykin, G. Kastenmuller, M. Arnold, T. Koal, M. A. Moseley, L. M. Mangravite, M. A. Peters, J. D. Tenenbaum, J. W. Thompson and R. Kaddurah-Daouk
PMCID:5644370 ; 2017; Journal Sci Data; vol. 4; pp. 170140; doi:10.1038/sdata.2017.140