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4453 Total Publications

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;
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;
MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI
Li, JL, Yao, ZM, Duan, MY, Liu, S, Li, F, Zhu, HY, Xia, ZQ, Huang, L and Zhou, FF
2020; Journal Ieee Access; vol. 8; pp. 174023-174031;
Cerebrospinal fluid progranulin is associated with increased cortical thickness in early stages of Alzheimer's disease
Batzu, L, Westman, E, Pereira, JB and Alzheimers Dis Neuroimaging, I
2020; Journal Neurobiology of Aging; vol. 88; pp. 61-70;
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database
Beltrán, JF, Wahba, BM, Hose, N, Shasha, D and Kline, RP
PMCID:7384664 ; 2020; Journal PLoS One; vol. 15; no. 7; pp. e0235663;
Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer’s disease
Benedet, AL, Leuzy, A, Pascoal, TA, Ashton, NJ, Mathotaarachchi, S, Savard, M, Therriault, J, Kang, MS, Chamoun, M and Schöll, M
2020; Journal Brain; vol. 143; pp. 3793-3804;
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;