Alzheimer’s Disease Neuroimaging Initiative

4453 Total Publications

Year	Title	Author	Journal
2021	Comparing data-driven and hypothesis-driven MRI-based predictors of cognitive impairment in individuals from the Atherosclerosis Risk in Communities (ARIC) study	Casanova, R, Hsu, FC, Barnard, RT, Anderson, AM, Talluri, R, Whitlow, CT, Hughes, TM, Griswold, M, Hayden, KM, Gottesman, RF, Wagenknecht, LE and Alzheimer's Dis Neuroimaging, I	Journal Alzheimers & Dementia;
2021	TMEM106B and CPOX are genetic determinants of cerebrospinal fluid Alzheimer's disease biomarker levels	Hong, SJ, Dobricic, V, Ohlei, O, Bos, I, Vos, SJB, Prokopenko, D, Tijms, BM, Andreasson, U, Blennow, K, Vandenberghe, R, Gabel, S, Scheltens, P, Teunissen, CE, Engelborghs, S, Frisoni, G, Blin, O, Richardson, JC, Bordet, R, Lleo, A, Alcolea, D, Popp, J, Clark, C, Peyratout, G, Martinez-Lage, P, Tainta, M, Dobson, RJB, Legido-Quigley, C, Sleegers, K, Van Broeckhoven, C, Tanzi, RE, ten Kate, M, Wittig, M, Franke, A, Lill, CM, Barkhof, F, Lovestone, S, Streffer, J, Zetterberg, H, Visser, PJ, Bertram, L and Neuroimaging, I	Journal Alzheimers & Dementia;
2021	Personalized prediction of progression in pre-dementia patients based on individual biomarker profile: A development and validation study	Kühnel, L, Bouteloup, V, Lespinasse, J, Chêne, G, Dufouil, C, Molinuevo, JL and Raket, LL	Journal Alzheimers Dement;
2021	Higher cerebrospinal fluid tau is associated with history of traumatic brain injury and reduced processing speed in Vietnam-era veterans: A Department of Defense Alzheimer's Disease Neuroimaging Initiative (DOD-ADNI) study	Clark, AL, Weigand, AJ, Bangen, KJ, Thomas, KR, Eglit, GML, Bondi, MW and Delano-Wood, L	Journal Alzheimers Dement (Amst);
2021	Predicting future amyloid biomarkers in dementia patients with machine learning to improve clinical trial patient selection	Reith, FH, Mormino, EC and Zaharchuk, G	Journal Alzheimers Dement (N Y);
2021	Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals	Biel, D, Brendel, M, Rubinski, A, Buerger, K, Janowitz, D, Dichgans, M and Franzmeier, N	Journal Alzheimers Res Ther;
2021	Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer's disease	Dyrba, M, Hanzig, M, Altenstein, S, Bader, S, Ballarini, T, Brosseron, F, Buerger, K, Cantré, D, Dechent, P, Dobisch, L, Düzel, E, Ewers, M, Fliessbach, K, Glanz, W, Haynes, JD, Heneka, MT, Janowitz, D, Keles, DB, Kilimann, I, Laske, C, Maier, F, Metzger, CD, Munk, MH, Perneczky, R, Peters, O, Preis, L, Priller, J, Rauchmann, B, Roy, N, Scheffler, K, Schneider, A, Schott, BH, Spottke, A, Spruth, EJ, Weber, MA, Ertl-Wagner, B, Wagner, M, Wiltfang, J, Jessen, F and Teipel, SJ	Journal Alzheimers Res Ther;
2021	Dual feature correlation guided multi-task learning for Alzheimer's disease prediction	Tang, S, Cao, P, Hang, M, Liu, X and Zaiane, O	Journal Computers in Biology and Medicine;
2021	The Learning-based Automatic Segmentation Algorithm of Brain MR Images Based on 7T	Deng, MH, Jin, ZH, Yu, R and Zeng, QS	Journal Current Medical Imaging;
2021	Bilateral Distance Partition of Periventricular and Deep White Matter Hyperintensities: Performance of the Method in the Aging Brain	Chen, JY, Mikheev, AV, Yu, H, Gruen, MD, Rusinek, H, Ge, YL and Alzheimer's Disease, N	Journal Academic Radiology;