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Publications

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4453 Total Publications

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks
Wang, Xiaoqian, Chen, Hong, Yan, Jingwen, Nho, Kwangsik, Risacher, Shannon L, Saykin, Andrew J, Shen, Li, Huang, Heng and ADNI
PMID: 30423101 ; 2018; Journal Bioinformatics; vol. 34; no. 17; pp. i866-i874;

Machine learning identified an Alzheimer's disease-related FDG-PET pattern which is also expressed in Lewy body dementia and Parkinson's disease dementia
Katako, A., Shelton, P., Goertzen, A. L., Levin, D., Bybel, B., Aljuaid, M., Yoon, H. J., Kang, D. Y., Kim, S. M., Lee, C. S. and Ko, J. H.
PMID: 30185806 ; PMCID:6125295 ; 2018; Journal Sci Rep; vol. 8; no. 1; pp. 13236;

Differential Effect of APOE varepsilon4 Status and Elevated Pulse Pressure on Functional Decline in Cognitively Normal Older Adults
M. L. Werhane, K. R. Thomas, E. C. Edmonds, K. J. Bangen, M. Tran, A. L. Clark, D. A. Nation, P. E. Gilbert, M. W. Bondi and L. Delano-Wood
2018; Journal J Alzheimers Dis; vol. 62; no. 4; pp. 1567-1578; doi:10.3233/jad-170918

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers Disease
P. Cao, X. Liu, H. Liu, J. Yang, D. Zhao, M. Huang and O. Zaiane
2018; Journal Computer Methods and Programs in Biomedicine;

Progranulin levels in blood in Alzheimer's disease and mild cognitive impairment
Y. A. Cooper, D. Nachun, D. Dokuru, Z. Yang, A. M. Karydas, G. Serrero, B. Yue, A. L. Boxer, B. L. Miller and G. Coppola
PMCID:5945969 ; 2018; Journal Ann Clin Transl Neurol; vol. 5; no. 5; pp. 616-629; doi:10.1002/acn3.560

18F-florbetapir Positron Emission Tomography-determined Cerebral beta-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery
R. Y. Klinger, O. G. James, S. Borges-Neto, T. Bisanar, Y. J. Li, W. Qi, M. Berger, N. Terrando, M. F. Newman, P. M. Doraiswamy and J. P. Mathew
PMCID:5849499 ; 2018; Journal Anesthesiology; vol. 128; no. 4; pp. 728-744; doi:10.1097/aln.0000000000002103

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease
X. Liu, P. Cao, J. Yang and D. Zhao
2018; Journal Computational and mathematical methods in medicine; vol. 2018;

Clinical significance of visually equivocal amyloid PET findings from the Alzheimer’s Disease Neuroimaging Initiative cohort
M. Oh, M. Seo, S. Y. Oh, H. Kim, B. W. Choi, J. S. Oh, J. S. Kim and A. s. D. N. Initiative
2018; Journal NeuroReport; vol. 29; no. 7; pp. 553-558;

Joint Assessment of Quantitative 18F-Florbetapir and 18F-FDG Regional Uptake Using Baseline Data from the ADNI
F. Ben Bouallegue, D. Mariano-Goulart and P. Payoux
2018; Journal J Alzheimers Dis; vol. 62; no. 1; pp. 399-408; doi:10.3233/jad-170833

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans
S. Cong, S. L. Risacher, J. D. West, Y. C. Wu, L. G. Apostolova, E. Tallman, M. Rizkalla, P. Salama, A. J. Saykin and L. Shen
2018; Journal Brain Imaging Behav; doi:10.1007/s11682-017-9819-3