Shen L - Search Results

1

Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.

Wang M, Shao W, Hao X, Shen L, Zhang D. Wang M, et al. Among authors: shen l. IEEE/ACM Trans Comput Biol Bioinform. 2021 Jul-Aug;18(4):1549-1561. doi: 10.1109/TCBB.2019.2944825. Epub 2021 Aug 6. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 31581090

2

Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers.

Cheng B, Zhang D, Chen S, Kaufer DI, Shen D; Alzheimer’s Disease Neuroimaging Initiative. Cheng B, et al. Neuroinformatics. 2013 Jul;11(3):339-53. doi: 10.1007/s12021-013-9180-7. Neuroinformatics. 2013. PMID: 23504659 Free PMC article.

3

The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer's disease.

Wu X, Li J, Ayutyanont N, Protas H, Jagust W, Fleisher A, Reiman E, Yao L, Chen K; Alzheimer's Disease Neuroimaging Initiative. Wu X, et al. IEEE/ACM Trans Comput Biol Bioinform. 2013 Jan-Feb;10(1):173-80. doi: 10.1109/TCBB.2012.141. IEEE/ACM Trans Comput Biol Bioinform. 2013. PMID: 23702553 Free PMC article.

4

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Cheng B, Liu M, Suk HI, Shen D, Zhang D; Alzheimer’s Disease Neuroimaging Initiative. Cheng B, et al. Brain Imaging Behav. 2015 Dec;9(4):913-26. doi: 10.1007/s11682-015-9356-x. Brain Imaging Behav. 2015. PMID: 25702248 Free PMC article.

5

Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Zhan Y, Chen K, Wu X, Zhang D, Zhang J, Yao L, Guo X; Alzheimer’s Disease Neuroimaging Initiative. Zhan Y, et al. J Alzheimers Dis. 2015;47(4):1057-67. doi: 10.3233/JAD-142820. J Alzheimers Dis. 2015. PMID: 26401783 Free PMC article.

6

Common Variants in PLD3 and Correlation to Amyloid-Related Phenotypes in Alzheimer's Disease.

Wang C, Tan L, Wang HF, Yu WJ, Liu Y, Jiang T, Tan MS, Hao XK, Zhang DQ, Yu JT; Alzheimer's Disease Neuroimaging Initiative. Wang C, et al. J Alzheimers Dis. 2015;46(2):491-5. doi: 10.3233/JAD-150110. J Alzheimers Dis. 2015. PMID: 26402410 Free PMC article.

7

DIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.

Hao X, Yan J, Yao X, Risacher SL, Saykin AJ, Zhang D, Shen L; ADNI. Hao X, et al. Among authors: shen l. Pac Symp Biocomput. 2016;21:108-19. Pac Symp Biocomput. 2016. PMID: 26776178 Free PMC article.

8

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.

Du L, Huang H, Yan J, Kim S, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Du L, et al. Among authors: shen l. Bioinformatics. 2016 May 15;32(10):1544-51. doi: 10.1093/bioinformatics/btw033. Epub 2016 Jan 21. Bioinformatics. 2016. PMID: 26801960 Free PMC article.

9

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.

Hao X, Yao X, Yan J, Risacher SL, Saykin AJ, Zhang D, Shen L; Alzheimer’s Disease Neuroimaging Initiative. Hao X, et al. Among authors: shen l. Neuroinformatics. 2016 Oct;14(4):439-52. doi: 10.1007/s12021-016-9307-8. Neuroinformatics. 2016. PMID: 27277494 Free PMC article.

10

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.

Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative. Hao X, et al. Among authors: shen l. Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272. Sci Rep. 2017. PMID: 28291242 Free PMC article.

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