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3393 Total Publications

Alzheimer's disease detection using depthwise separable convolutional neural networks
Liu, J, Li, M, Luo, Y, Yang, S, Li, W and Bi, Y
2021; Journal Computer Methods and Programs in Biomedicine; vol. 106032;
Cognitive and MRI trajectories for prediction of Alzheimer's disease
Mofrad, SA, Lundervold, AJ, Vik, A and Lundervold, AS
2021; Journal Sci Rep; vol. 11; no. 1; pp. 2122;
Reduced F-18 flortaucipir retention in white matter hyperintensities compared to normal-appearing white matter
Moscoso, A, Grothe, MJ, Scholl, M and Alzheimer's Dis Neuroimaging, I
2021; Journal European Journal of Nuclear Medicine and Molecular Imaging;
Set-Based Rare Variant Expression Quantitative Trait Loci in Blood and Brain from Alzheimer Disease Study Participants
Patel, D, Zhang, X, Farrell, JJ, Lunetta, KL and Farrer, LA
PMID: 33804025 ; 2021; Journal Genes; vol. 12; no. 3; pp. 419;
Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities
Scelsi, MA, Napolioni, V, Greicius, MD and Altmann, A
2021; Journal PLoS Comput Biol; vol. 17; no. 1; pp. e1008517;
Improved Prediction of Imminent Progression to Clinically Significant Memory Decline Using Surface Multivariate Morphometry Statistics and Sparse Coding
Stonnington, CM, Wu, J, Zhang, J, Shi, J, Bauer Iii, RJ, Devadas, V, Su, Y, Locke, DEC, Reiman, EM, Caselli, RJ, Chen, K and Wang, Y
2021; Journal J Alzheimers Dis;
Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation
Syaifullah, AH, Shiino, A, Kitahara, H, Ito, R, Ishida, M and Tanigaki, K
2021; Journal Front Neurol; vol. 11; pp. 576029;
Associations of Alzheimer’s disease risk variants with gene expression, amyloidosis, tauopathy, and neurodegeneration
Tan, M-S, Yang, Y-X, Xu, W, Wang, H-F, Tan, L, Zuo, C-T, Dong, Q, Tan, L, Suckling, J and Yu, J-T
2021; Journal Alzheimer's Research & Therapy; vol. 13; no. 1; pp. 11-Jan;
Detect and correct bias in multi-site neuroimaging datasets
Wachinger, C, Rieckmann, A, Polsterl, S, Alzheimer's Dis Neuroimaging, I, Australian Imaging, B and Li
2021; Journal Medical Image Analysis; vol. 67;
Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an F-18-AV-45 study
Wang, M, Yan, ZZ, Zhang, HW, Lu, JY, Li, L, Yu, JT, Wang, J, Matsuda, H, Zuo, CT, Jiang, JH and Alzheimer's Dis Neuroimaging, I
2021; Journal Quantitative Imaging in Medicine and Surgery; vol. 11; no. 1;