Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2020	Impairment of Everyday Spatial Navigation Abilities in Mild Cognitive Impairment Is Weakly Associated with Reduced Grey Matter Volume in the Medial Part of the Entorhinal Cortex	Hallab, A, Lange, C, Apostolova, I, Ozden, C, Gonzalez-Escamilla, G, Klutmann, S, Brenner, W, Grothe, MJ, Buchert, R and Alzheimers Dis Neuroimaging, I	Journal Journal of Alzheimers Disease;
2020	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	Journal Genetic Epidemiology;
2020	Early diagnosis model of Alzheimer’s Disease based on sparse logistic regression	Xiao, R, Cui, X, Qiao, H, Zheng, X and Zhang, Y	Journal Multimedia Tools and Applications;
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;