ADNI | Publications

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3911 Total Publications

Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework
Li, W, Lin, XF and Chen, X
2020; Journal Neurocomputing; vol. 388; pp. 280-287;

Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression
Li, XY, Wang, L and Wang, HJ
2020; Journal Journal of the American Statistical Association;

The Aging Slopes of Brain Structures Vary by Ethnicity and Sex: Evidence From a Large Magnetic Resonance Imaging Dataset From a Single Scanner of Cognitively Healthy Elderly People in Korea
Choi, YY, Lee, JJ, Choi, KY, Seo, EH, Choo, IH, Kim, H, Song, MK, Choi, SM, Cho, SH, Kim, BC and Lee, KH
PMCID:7437271 ; 2020; Journal Front Aging Neurosci; vol. 12; pp. 233;

Network Medicine Approach for Analysis of Alzheimer's Disease Gene Expression Data
Cohen, D, Pilozzi, A and Huang, X
2020; Journal Int J Mol Sci; vol. 21; no. 1;

The exploration of Parkinson's disease: a multi-modal data analysis of resting functional magnetic resonance imaging and gene data
Bi, XA, Wu, H, Xie, Y, Zhang, L, Luo, X and Fu, Y
2020; Journal Brain Imaging Behav;

High-Dimensional Smoothing Splines and Application in Alzheimer's Disease Prediction Using Magnetic Resonance Imaging
Dai, XW
2020; Journal Statistics in Biopharmaceutical Research; vol. 12; no. 2; pp. 244-252;

Association of Plasma Transferrin With Cognitive Decline in Patients With Mild Cognitive Impairment and Alzheimer's Disease
Guan, J, Wang, P, Lu, L and Zhao, G
PMCID:7080847 ; 2020; Journal Front Aging Neurosci; vol. 12; pp. 38;

Normalization of CSF pTau measurement by A beta(40) improves its performance as a biomarker of Alzheimer's disease
Guo, TF, Korman, D, La Joie, R, Shaw, LM, Trojanowski, JQ, Jagust, WJ, Landau, SM and Alzheimers Dis Neuroimaging, I
2020; Journal Alzheimers Research & Therapy; vol. 12; no. 1;

Classification of negative and positive (18)F-florbetapir brain PET studies in subjective cognitive decline patients using a convolutional neural network
de Vries, BM, Golla, SSV, Ebenau, J, Verfaillie, SCJ, Timmers, T, Heeman, F, Cysouw, MCF, van Berckel, BNM, van der Flier, WM, Yaqub, M and Boellaard, R
2020; Journal Eur J Nucl Med Mol Imaging;

The joint lasso: high-dimensional regression for group structured data
Dondelinger, F, Mukherjee, S and Alzheimers Dis Neuroimaging, I
2020; Journal Biostatistics; vol. 21; no. 2; pp. 219-235;