4453 Total Publications
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;
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;
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;
Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images
Dong, QX, Zhang, J, Li, QY, Wang, JW, Lepore, N, Thompson, PM, Caselli, RJ, Ye, JP, Wang, YL and Alzheimers Dis Neuroimaging, I
2020; Journal Journal of Alzheimers Disease; vol. 75; no. 3; pp. 971-992;
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach
Du, L, Liu, K, Yao, X, Risacher, SL, Han, J, Saykin, AJ, Guo, L and Shen, L
PMCID:7099577
; 2020; Journal Med Image Anal; vol. 61; pp. 101656;