3740 Total Publications
Tau PET correlates with different Alzheimer's disease-related features compared to CSF and plasma p-tau biomarkers
Ossenkoppele, R, Reimand, J, Smith, R, Leuzy, A, Strandberg, O, Palmqvist, S, Stomrud, E, Zetterberg, H, Alzheimer's Disease Neuroimaging, I, Scheltens, P, Dage, JL, Bouwman, F, Blennow, K, Mattsson-Carlgren, N, Janelidze, S and Hansson, O
PMCID:8350902
; 2021; Journal EMBO Mol Med; vol. 13; no. 8; pp. e14398;
Brain connectivity markers in advanced Parkinson's disease for predicting mild cognitive impairment
Lin, H, Liu, Z, Yan, W, Zhang, D, Liu, J, Xu, B, Li, W, Zhang, Q and Cai, X
2021; Journal Eur Radiol; vol. 31; no. 12; pp. 9324-9334;
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET
Etminani, K, Soliman, A, Davidsson, A, Chang, JR, Martinez-Sanchis, B, Byttner, S, Camacho, V, Bauckneht, M, Stegeran, R, Ressner, M, Agudelo-Cifuentes, M, Chincarini, A, Brendel, M, Rominger, A, Bruffaerts, R, Vandenberghe, R, Kramberger, MG, Trost, M, Nicastro, N, Frisoni, GB, Lemstra, AW, van Berckel, BNM, Pilotto, A, Padovani, A, Morbelli, S, Aarsland, D, Nobili, F, Garibotto, V and Ochoa-Figueroa, M
2021; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 22;
Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
Choi, YY, Lee, JJ, Choi, KY, Choi, US, Seo, EH, Choo, IH, Kim, H, Song, MK, Choi, SM, Cho, SH, Choe, Y, Kim, BC and Lee, KH
PMCID:8369368
; 2021; Journal Front Aging Neurosci; vol. 13; pp. 675016;
THAN: task-driven hierarchical attention network for the diagnosis of mild cognitive impairment and Alzheimer's disease
Zhang, ZH, Gao, LL, Jin, G, Guo, LJ, Yao, YD, Dong, L, Han, JM and Alzheimer's Disease NeuroImaging, I
2021; Journal Quantitative Imaging in Medicine and Surgery; vol. 11; no. 7; pp. 3338-3354;
Simultaneous brain structure segmentation in magnetic resonance images using deep convolutional neural networks
Maruyama, T, Hayashi, N, Sato, Y, Ogura, T, Uehara, M, Ogura, A, Watanabe, H, Kitoh, Y and Alzheimers Dis Neuroimaging, I
2021; Journal Radiological Physics and Technology; vol. 8;
Effect of data leakage in brain MRI classification using 2D convolutional neural networks
Yagis, E, Atnafu, SW, García Seco de Herrera, A, Marzi, C, Scheda, R, Giannelli, M, Tessa, C, Citi, L and Diciotti, S
PMCID:8604922
; 2021; Journal Sci Rep; vol. 11; no. 1; pp. 22544;
Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study
Pinaya, WHL, Scarpazza, C, Garcia-Dias, R, Vieira, S, Baecker, L, da Costa, PF, Redolfi, A, Frisoni, GB, Pievani, M, Calhoun, VD, Sato, JR and Mechelli, A
2021; Journal Scientific Reports; vol. 11; no. 1; pp. 13;
