schliessen

Filtern

 

Bibliotheken

85.

Standardization of analysis sets for reporting results from ADNI MRI data.
by Wyman, Bradley T

Alzheimer's & dementia : the journal of the Alzheimer's Association, May 2013, Vol.9(3), pp.332-337

87.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease
by Hao, Xiaoke

Hao, X., C. Li, L. Du, X. Yao, J. Yan, S. L. Risacher, A. J. Saykin, et al. 2017. “Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease.” Scientific Reports 7 (1): 44272. doi:10.1038/srep44272. http://dx.doi.org/10.1038/srep44272.

89.

CFH Variants Affect Structural and Functional Brain Changes and Genetic Risk of Alzheimer's Disease.
by Zhang, Deng-Feng

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, March 2016, Vol.41(4), pp.1034-1045

91.

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
by Singanamalli, Asha

Singanamalli, A., H. Wang, A. Madabhushi, M. Weiner, P. Aisen, R. Petersen, C. Jack, et al. 2017. “Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features.” Scientific Reports 7 (1): 8137. doi:10.1038/s41598-017-03925-0. http://dx.doi.org/10.1038/s41598-017-03925-0.

92.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease
by Huang, Meiyan

Huang, M., W. Yang, Q. Feng, W. Chen, M. W. Weiner, P. Aisen, R. Petersen, et al. 2017. “Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease.” Scientific Reports 7 (1): 39880. doi:10.1038/srep39880. http://dx.doi.org/10.1038/srep39880.

96.

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
by Lu, Donghuan

Lu, D., K. Popuri, G. W. Ding, R. Balachandar, M. F. Beg, M. Weiner, P. Aisen, et al. 2018. “Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images.” Scientific Reports 8 (1): 5697. doi:10.1038/s41598-018-22871-z. http://dx.doi.org/10.1038/s41598-018-22871-z.

97.

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty
by Du, Lei

Du, L., K. Liu, X. Yao, J. Yan, S. L. Risacher, J. Han, L. Guo, et al. 2017. “Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.” Scientific Reports 7 (1): 14052. doi:10.1038/s41598-017-13930-y. http://dx.doi.org/10.1038/s41598-017-13930-y.

12345

Recommended databases

Find more Articles matching your search terms in these recommended databases.

Filter electronic articles 83 Hits

Remove Filters