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1800 Total Publications

Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years?
Cover, K. S., van Schijndel, R. A., Bosco, P., Damangir, S. and Redolfi, A.
PMID: 30149361 ; 2018; Journal Psychiatry Res Neuroimaging; vol. 280; pp. 39-47; AW5HwZDTMOwVf_qbJr_o
Alzheimer's Disease Biomarkers Have Distinct Associations with Specific Hippocampal Subfield Volumes
Muller-Ehrenberg, L., Riphagen, J. M., Verhey, F. R. J., Sack, A. T. and Jacobs, H. I. L.
PMID: 30320590 ; 2018; Journal J Alzheimers Dis; vol. 66; no. 2; pp. 811-823; AW5H1MOUdzjauPDbjhvm
Prediction of Cerebral Amyloid With Common Information Obtained From Memory Clinic Practice
Lee, J. H., Byun, M. S., Yi, D., Sohn, B. K., Jeon, S. Y., Lee, Y., Lee, J. Y., Kim, Y. K., Lee, Y. S. and Lee, D. Y.
PMID: 30337868 ; PMCID:6178978 ; 2018; Journal Front Aging Neurosci; vol. 10; pp. 309; AW5H0ItTMOwVf_qbJr__
Improving the SIENA performance using BEaST brain extraction
Nakamura, K., Eskildsen, S. F., Narayanan, S., Arnold, D. L. and Collins, D. L.
PMID: 30235215 ; PMCID:6147402 ; 2018; Journal PLoS One; vol. 13; no. 9; pp. e0196945; AW5H3KFUdzjauPDbjhvo
A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia
Nazem, Amir, Tang, Chris C, Spetsieris, Phoebe, Dresel, Christian, Gordon, Marc L, Diehl-Schmid, Janine, Grimmer, Timo, Yakushev, Igor, Mattis, Paul J and Ma, Yilong
PMID: 30417069 ; 2018; Journal Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring; vol. 10; pp. 583-594; AW5H3KFUdzjauPDbjhvp
Obesity and Alzheimer's disease, does the obesity paradox really exist? A magnetic resonance imaging study
Pegueroles, Jordi, Jiménez, Amanda, Vilaplana, Eduard, Montal, Victor, Carmona-Iragui, María, Pané, Adriana, Alcolea, Daniel, Videla, Laura, Casajoana, Anna and Clarimón, Jordi
PMID: 30410669 ; 2018; Journal Oncotarget; vol. 9; no. 78; pp. 34691; AW5H3KFUdzjauPDbjhvu
Voxel-based Specific Regional Analysis System for Alzheimer’s Disease (VSRAD) on 3-tesla Normal Database: Diagnostic Accuracy in Two Independent Cohorts with Early Alzheimer’s Disease
Sone, Daichi, Imabayashi, Etsuko, Maikusa, Norihide, Ogawa, Masayo, Sato, Noriko, Matsuda, Hiroshi and Initiative, Japanese-Alzheimer’s Disease Neuroimaging
PMID: 30090663 ; 2018; Journal Aging and disease; vol. 9; no. 4; pp. 755; AW5H3KFUdzjauPDbjhvz
Pre-amyloid stage of Alzheimer's disease in cognitively normal individuals
Tijms, B. M., Vermunt, L., Zwan, M. D., van Harten, A. C., van der Flier, W. M., Teunissen, C. E., Scheltens, P. and Visser, P. J.
PMID: 30250861 ; PMCID:6144448 ; 2018; Journal Ann Clin Transl Neurol; vol. 5; no. 9; pp. 1037-1047; AW5H3KFUdzjauPDbjhv1
Data-driven approaches for tau-PET imaging biomarkers in Alzheimer's disease
Vogel, J. W., Mattsson, N., Iturria-Medina, Y., Strandberg, O. T., Scholl, M., Dansereau, C., Villeneuve, S., van der Flier, W. M., Scheltens, P., Bellec, P., Evans, A. C., Hansson, O. and Ossenkoppele, R.
PMID: 30368979 ; 2018; Journal Hum Brain Mapp; AW5H3KFUdzjauPDbjhv5
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks
Wang, Xiaoqian, Chen, Hong, Yan, Jingwen, Nho, Kwangsik, Risacher, Shannon L, Saykin, Andrew J, Shen, Li, Huang, Heng and ADNI
PMID: 30423101 ; 2018; Journal Bioinformatics; vol. 34; no. 17; pp. i866-i874; AW5H3KFUdzjauPDbjhv7