Alzheimer’s Disease Neuroimaging Initiative

4453 Total Publications

Year	Title	Author	Journal
2020	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	Journal J Pers Med;
2020	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	Journal Journal of Neuroscience Methods;
2020	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	Journal Pattern Recognition;
2020	Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks	Lella, E and Vessio, G	Journal Pattern Recognition Letters;
2020	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	Journal Ieee Access;
2020	Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment, and Alzheimer's disease dementia	Banning, LCP, Ramakers, I, Rosenberg, PB, Lyketsos, CG and Leoutsakos, JS	Journal Int J Geriatr Psychiatry;
2020	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	Journal Neurobiology of Aging;
2020	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	Journal PLoS One;
2020	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	Journal Brain;
2020	Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework	Li, W, Lin, XF and Chen, X	Journal Neurocomputing;