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3740 Total Publications

3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data
Alinsaif, S and Lang, J
2021; Journal Comput Biol Med; vol. 138; pp. 104879;

Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network
Liang, W, Zhang, K, Cao, P, Liu, X, Yang, J and Zaiane, O
2021; Journal Comput Biol Med; vol. 138; pp. 104935;

Deep transfer learning of structural magnetic resonance imaging fused with blood parameters improves brain age prediction
Ren, B, Wu, Y, Huang, L, Zhang, Z, Huang, B, Zhang, H, Ma, J, Li, B, Liu, X, Wu, G, Zhang, J, Shen, L, Liu, Q and Ni, J
2021; Journal Hum Brain Mapp;

Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum
Qing, Z, Chen, F, Lu, J, Lv, P, Li, W, Liang, X, Wang, M, Wang, Z, Zhang, X and Zhang, B
2021; Journal Human Brain Mapping;

Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
Odusami, M, Maskeliūnas, R, Damaševičius, R and Krilavičius, T
PMCID:8230447 ; 2021; Journal Diagnostics (Basel); vol. 11; no. 6; pp. 1071;

Classification of negative and positive (18)F-florbetapir brain PET studies in subjective cognitive decline patients using a convolutional neural network
de Vries, BM, Golla, SSV, Ebenau, J, Verfaillie, SCJ, Timmers, T, Heeman, F, Cysouw, MCF, van Berckel, BNM, van der Flier, WM, Yaqub, M, Boellaard, R and Alzheimer's Disease Neuroimaging, I
PMCID:8036183 ; 2021; Journal Eur J Nucl Med Mol Imaging; vol. 48; no. 3; pp. 721-728;

A gene-environment interplay between omega-3 supplementation and APOE epsilon 4 provides insights for Alzheimer's disease precise prevention amongst high-genetic-risk population
Li, L, Xu, W, Tan, CC, Cao, XP, Wei, BZ, Dong, CW, Tan, L and Alzheimers Dis, N
2021; Journal European Journal of Neurology; vol. 10;

Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease
Arco, JE, Ramírez, J, Górriz, JM and Ruz, M
2021; Journal Expert Systems with Applications; vol. 185; pp. 115549;

DTI based Alzheimer’s disease classification with rank modulated fusion of CNNs and random forest
De, A and Chowdhury, AS
2021; Journal Expert Systems with Applications; vol. 169; pp. 114338;

Specific White Matter Tracts and Diffusion Properties Predict Conversion From Mild Cognitive Impairment to Alzheimer's Disease
Stone, DB, Ryman, SG, Hartman, AP, Wertz, CJ, Vakhtin, AA and Alzheimer's Dis Neuroimaging, I
2021; Journal Frontiers in Aging Neuroscience; vol. 13; pp. 11;