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4453 Total Publications

The dynamics of biomarkers across the clinical spectrum of Alzheimer’s disease
Hadjichrysanthou, C, Evans, S, Bajaj, S, Siakallis, LC, McRae-McKee, K, de Wolf, F and Anderson, RM
2020; Journal Alzheimer's Research & Therapy; vol. 12; no. 1; pp. 16-Jan;
Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data
Knutson, KA, Deng, Y and Pan, W
2020; Journal Neuroimage; vol. 223; pp. 117347;
Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology
Kuang, L, Jia, J, Zhao, D, Xiong, F, Han, X and Wang, Y
2020; Journal Front Aging Neurosci; vol. 12; pp. 188;
A panel of blood lipids associated with cognitive performance, brain atrophy, and Alzheimer's diagnosis: A longitudinal study of elders without dementia
Ma, YH, Shen, XN, Xu, W, Huang, YY, Li, HQ, Tan, L, Tan, CC, Dong, Q, Tan, L and Yu, JT
2020; Journal Alzheimers Dement (Amst); vol. 12; no. 1; pp. e12041;
The cholinergic system in subtypes of Alzheimer's disease: an in vivo longitudinal MRI study
Machado, A, Ferreira, D, Grothe, MJ, Eyjolfsdottir, H, Almqvist, PM, Cavallin, L, Lind, G, Linderoth, B, Seiger, A, Teipel, S, Wahlberg, LU, Wahlund, LO, Westman, E, Eriksdotter, M and Alzheimers Dis Neuroimaging, I
2020; Journal Alzheimers Research & Therapy; vol. 12; no. 1;
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study
Martensson, G, Ferreira, D, Granberg, T, Cavallin, L, Oppedal, K, Padovani, A, Rektorova, I, Bonanni, L, Pardini, M, Kramberger, MG, Taylor, JP, Hort, J, Snaedal, J, Kulisevsky, J, Blanc, F, Antonini, A, Mecocci, P, Vellas, B, Tsolaki, M, Kloszewska, I, Soininen, H, Lovestone, S, Simmons, A, Aarsland, D and Westman, E
PMID: 33007638 ; 2020; Journal Medical Image Analysis; vol. 66;
FFA-DMRI: A Network Based on Feature Fusion and Attention Mechanism for Brain MRI Denoising
Hong, D, Huang, C, Yang, C, Li, J, Qian, Y and Cai, C
PMCID:7525046 ; 2020; Journal Front Neurosci; vol. 14; pp. 577937;
Genome-wide association study of Alzheimer's disease CSF biomarkers in the EMIF-AD Multimodal Biomarker Discovery dataset
Hong, SJ, Prokopenko, D, Dobricic, V, Kilpert, F, Bos, I, Vos, SJB, Tijms, BM, Andreasson, U, Blennow, K, Vandenberghe, R, Cleynen, I, Gabel, S, Schaeverbeke, J, Scheltens, P, Teunissen, CE, Niemantsverdriet, E, Engelborghs, S, Frisoni, G, Blin, O, Richardson, JC, Bordet, R, Molinuevo, JL, Rami, L, Kettunen, P, Wallin, A, Lleo, A, Sala, I, Popp, J, Peyratout, G, Martinez-Lage, P, Tainta, M, Dobson, RJB, Legido-Quigley, C, Sleegers, K, Van Broeckhoven, C, ten Kate, M, Barkhof, F, Zetterberg, H, Lovestone, S, Streffer, J, Wittig, M, Franke, A, Tanzi, RE, Visser, PJ, Bertram, L and Alzheimers Dis Neuroimaging, I
2020; Journal Translational Psychiatry; vol. 10; no. 1;
In vivo MRI Structural and PET Metabolic Connectivity Study of Dopamine Pathways in Alzheimer's Disease
Iaccarino, L, Sala, A, Caminiti, SP, Presotto, L, Perani, D and Alzheimers Dis Neuroimaging, I
2020; Journal Journal of Alzheimers Disease; vol. 75; no. 3; pp. 1003-1016;
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
2020; Journal Neurobiology of Aging; vol. 87; pp. 44-48;