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3393 Total Publications

Genetic effect estimates in case-control studies when a continuous variable is omitted from the model
Sheng, Y, Huang, CY, Lobach, S, Zablotska, L, Lobach, I and Alzheimers Dis Neuroimaging, I
2020; Journal Genetic Epidemiology; vol. 44; no. 3; pp. 261-271;
Early diagnosis model of Alzheimer’s Disease based on sparse logistic regression
Xiao, R, Cui, X, Qiao, H, Zheng, X and Zhang, Y
2020; Journal Multimedia Tools and Applications;
A Conformation Variant of p53 Combined with Machine Learning Identifies Alzheimer Disease in Preclinical and Prodromal Stages
Abate, G, Vezzoli, M, Polito, L, Guaita, A, Albani, D, Marizzoni, M, Garrafa, E, Marengoni, A, Forloni, G, Frisoni, GB, Cummings, JL, Memo, M and Uberti, D
2020; Journal J Pers Med; vol. 11; no. 1;
Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease
Abrol, A, Bhattarai, M, Fedorov, A, Du, YH, Plis, S, Calhoun, V and Alzheimers Dis Neuroimaging, I
2020; Journal Journal of Neuroscience Methods; vol. 339;
Clinical and Technical Considerations for Brain PET Imaging for Dementia
Acuff, SN, Mathotaarachchi, S, Zukotynski, K, Osborne, D, Subramaniam, R and Alzheimers Dis Neuroimaging, I
2020; Journal Journal of Nuclear Medicine Technology; vol. 48; no. 1; pp. 08-May;
Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging
Ahmed, S, Kim, BC, Lee, KH and Jung, HY
2020; Journal PLoS One; vol. 15; no. 12; pp. e0242712;
Mitonuclear interactions influence Alzheimer's disease risk
Andrews, SJ, Fulton-Howard, B, Patterson, C, McFall, GP, Gross, A, Michaelis, EK, Goate, A, Swerdlow, RH and Pa, J
PMCID:7205324 ; 2020; Journal Neurobiol Aging; vol. 87; pp. 138.e7-138.e14;
Effects of sex, age, and apolipoprotein E genotype on hippocampal parenchymal fraction in cognitively normal older adults
Ardekani, BA, Izadi, NO, Hadid, SA, Meftah, AM, Bachman, AH and Alzheimers Dis Neuroimaging, I
2020; Journal Psychiatry Research-Neuroimaging; vol. 301;
Deep and joint learning of longitudinal data for Alzheimer's disease prediction
Lei, B, Yang, M, Yang, P, Zhou, F, Hou, W, Zou, W, Li, X, Wang, T, Xiao, X and Wang, S
2020; Journal Pattern Recognition; vol. 102; pp. 107247;
Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks
Lella, E and Vessio, G
2020; Journal Pattern Recognition Letters; vol. 136; pp. 168-174;