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3740 Total Publications

Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data
El-Sappagh, S, Abuhmed, T, Islam, SR and Kwak, KS
2020; Journal Neurocomputing; vol. 412; pp. 197-215;
The Association Between Biomarkers and Neuropsychiatric Symptoms Across the Alzheimer's Disease Spectrum
Banning, LCP, Ramakers, I, Kohler, S, Bron, EE, Verhey, FRJ, de Deyn, PP, Claassen, J, Koek, HL, Middelkoop, HAM, van der Flier, WM, van der Lugt, A, Aalten, P, Alzheimers Dis Neuroimaging, I and Parelsnoer Inst, N
2020; Journal American Journal of Geriatric Psychiatry; vol. 28; no. 7; pp. 735-744;
Association of Klotho-VS Heterozygosity With Risk of Alzheimer Disease in Individuals Who Carry APOE4
Belloy, ME, Napolioni, V, Han, SS, Le Guen, Y and Greicius, MD
PMCID:7154955 ; 2020; Journal JAMA Neurol; vol. 77; no. 7; pp. 849-862;
Relationship between the disrupted topological efficiency of the structural brain connectome and glucose hypometabolism in normal aging
Bi, Q, Wang, W, Niu, N, Li, H, Wang, Y, Huang, W, Chen, K, Xu, K, Zhang, J, Chen, Y, Wei, D, Cui, R, Shu, N and Zhang, Z
PMID: 33248254 ; 2020; Journal Neuroimage; vol. 226; pp. 117591;
Amyloid-β Positivity Predicts Cognitive Decline but Cognition Predicts Progression to Amyloid-β Positivity
Elman, JA, Panizzon, MS, Gustavson, DE, Franz, CE, Sanderson-Cimino, ME, Lyons, MJ and Kremen, WS
PMCID:7166153 ; 2020; Journal Biol Psychiatry; vol. 87; no. 9; pp. 819-828;
Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease
Ezzati, A and Lipton, RB
PMCID:7201366 ; 2020; Journal J Alzheimers Dis; vol. 74; no. 1; pp. 55-63;
Basal forebrain volume reliably predicts the cortical spread of Alzheimer's degeneraion
Fernandez-Cabello, S, Kronbichler, M, Van Dijk, KRA, Goodman, JA, Spreng, RN, Schmitz, TW and Alzheimer's Dis Neuroimaging, I
2020; Journal Brain; vol. 143; pp. 993-1009;
Small vessel disease more than Alzheimer's disease determines diffusion MRI alterations in memory clinic patients
Finsterwalder, S, Vlegels, N, Gesierich, B, Araque Caballero, M, Weaver, NA, Franzmeier, N, Georgakis, MK, Konieczny, MJ, Koek, HL, Karch, CM, Graff-Radford, NR, Salloway, S, Oh, H, Allegri, RF, Chhatwal, JP, Jessen, F, Düzel, E, Dobisch, L, Metzger, C, Peters, O, Incesoy, EI, Priller, J, Spruth, EJ, Schneider, A, Fließbach, K, Buerger, K, Janowitz, D, Teipel, SJ, Kilimann, I, Laske, C, Buchmann, M, Heneka, MT, Brosseron, F, Spottke, A, Roy, N, Ertl-Wagner, B, Scheffler, K, Seo, SW, Kim, Y, Na, DL, Kim, HJ, Jang, H, Ewers, M, Levin, J, Schmidt, R, Pasternak, O, Dichgans, M, Biessels, GJ and Duering, M
2020; Journal Alzheimers Dement;
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method
Du, L, Liu, F, Liu, KF, Yao, XH, Risacher, SL, Han, JW, Saykin, AJ and Shen, L
2020; Journal Ieee Transactions on Medical Imaging; vol. 39; no. 11; pp. 3416-3428;
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Du, YH, Fu, ZN, Sui, J, Gao, S, Xing, Y, Lin, DD, Salman, M, Abrol, A, Rahaman, MA, Chen, JY, Hong, LE, Kochunov, P, Osuch, EA, Calhoun, VD and Alzheimers Dis, N
2020; Journal Neuroimage-Clinical; vol. 28;