Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2022	Identifying the regional substrates predictive of Alzheimer_s disease progression through a convolutional neural network model and occlusion	Kwak, K, Stanford, W and Dayan, E	Journal Hum Brain Mapp;
2022	Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM	Lei, B, Zhang, Y, Liu, D, Xu, Y, Yue, G, Cao, J, Hu, H, Yu, S, Yang, P and Wang, T	Journal Knowledge-Based Systems;
2022	Genetic Association Between Epigenetic Aging-Acceleration and the Progression of Mild Cognitive Impairment to Alzheimer's Disease	Liu, H, Lutz, M, Luo, S and Alzheimer's Disease Neuroimaging, I	Journal 77;
2022	Mild Traumatic Brain Injury is Related to Elevated Cerebrospinal Fluid Tau in Alzheimer's Disease Dementia	LoBue, C, Kelley, BJ, Hart, J, Helphrey, J, Schaffert, J, Cullum, CM, Peters, ME and Douglas, PM
2022	SimulAD: a dynamical model for personalized simulation and disease staging in Alzheimer's disease	Cl√©ment, AN, Ribaldi, F, Frisoni, GB, Garibotto, V, Robert, P, Ayache, N and Lorenzi, M
2022	A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation	Giorgio, J, Jagust, WJ, Baker, S, Landau, SM, Tino, P and Kourtzi, Z
2022	Integrative analysis of summary data from GWAS and eQTL studies implicates genes differentially expressed in Alzheimer's disease	Lee, B, Yao, X and Shen, L
2022	Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer's disease	Levitis, E, Vogel, JW, Funck, T, Hachinski, V, Gauthier, S, V√∂glein, J, Levin, J, Gordon, BA, Benzinger, T, Iturria-Medina, Y and Evans, AC
2022	Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning	Kwak, K, Niethammer, M, Giovanello, KS, Styner, M, Dayan, E and Alzheimer's Dis Neuroimaging, I
2022	Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment	Jiang, J, Sheng, C, Chen, G, Liu, C, Jin, S, Li, L, Jiang, X and Han, Y	Journal Geroscience;