Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2020	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	Journal Alzheimers Dement;
2020	Feasibility study of a PET-only amyloid quantification method: a comparison with visual interpretation	Shimokawa, N, Akamatsu, G, Kadosaki, M and Sasaki, M	Journal Ann Nucl Med;
2020	Effect of apolipoprotein E ε4 allele on the progression of cognitive decline in the early stage of Alzheimer's disease	Suzuki, K, Hirakawa, A, Ihara, R, Iwata, A, Ishii, K, Ikeuchi, T, Sun, CK, Donohue, M and Iwatsubo, T	Journal Alzheimers Dement (N Y);
2020	Performance gains with Compute Unified Device Architecture-enabled eddy current correction for diffusion MRI	Maller, JJ, Grieve, SM, Vogrin, SJ and Welton, T	Journal Neuroreport;
2020	CSF cutoffs for MCI due to AD depend on APOE epsilon 4 carrier status	Marizzoni, M, Ferrari, C, Babiloni, C, Albani, D, Barkhof, F, Cavaliere, L, Didic, M, Forloni, G, Fusco, F, Galluzzi, S, Hensch, T, Jovicich, J, Marra, C, Molinuevo, JL, Nobili, F, Parnetti, L, Payoux, P, Ranjeva, JP, Ribaldi, F, Rolandi, E, Rossini, PM, Salvatore, M, Soricelli, A, Tsolaki, M, Visser, PJ, Wiltfang, J, Richardson, JC, Bordet, R, Blin, O and Frisoni, GB	Journal Neurobiology of Aging;
2020	Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD	Pereira, T, Cardoso, S, Guerreiro, M, Mendonca, Ad and Madeira, SC	Journal J Biomed Inform;
2020	Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on (18)F-Florbetapir PET Using ADNI Data	Reith, F, Koran, ME, Davidzon, G and Zaharchuk, G	Journal AJNR Am J Neuroradiol;
2020	Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease	Ly, M, Yu, GZ, Karim, HT, Muppidi, NR, Mizuno, A, Klunk, WE, Aizenstein, HJ and Alzheimers Dis Neuroimaging, I	Journal Neurobiology of Aging;
2020	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	Journal Ieee Transactions on Medical Imaging;
2020	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	Journal Neuroimage-Clinical;