Plis S - Search Results

1

Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence.

Tveit J, Aurlien H, Plis S, Calhoun VD, Tatum WO, Schomer DL, Arntsen V, Cox F, Fahoum F, Gallentine WB, Gardella E, Hahn CD, Husain AM, Kessler S, Kural MA, Nascimento FA, Tankisi H, Ulvin LB, Wennberg R, Beniczky S. Tveit J, et al. Among authors: plis s. JAMA Neurol. 2023 Aug 1;80(8):805-812. doi: 10.1001/jamaneurol.2023.1645. JAMA Neurol. 2023. PMID: 37338864 Free PMC article.

2

MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes.

Plis SM, Calhoun VD, Weisend MP, Eichele T, Lane T. Plis SM, et al. Front Neuroinform. 2010 Nov 11;4:114. doi: 10.3389/fninf.2010.00114. eCollection 2010. Front Neuroinform. 2010. PMID: 21120141 Free PMC article.

3

Tracking whole-brain connectivity dynamics in the resting state.

Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD. Allen EA, et al. Cereb Cortex. 2014 Mar;24(3):663-76. doi: 10.1093/cercor/bhs352. Epub 2012 Nov 11. Cereb Cortex. 2014. PMID: 23146964 Free PMC article.

4

Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks.

Hjelm RD, Calhoun VD, Salakhutdinov R, Allen EA, Adali T, Plis SM. Hjelm RD, et al. Neuroimage. 2014 Aug 1;96:245-60. doi: 10.1016/j.neuroimage.2014.03.048. Epub 2014 Mar 28. Neuroimage. 2014. PMID: 24680869 Free PMC article.

5

A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging.

Silva RF, Plis SM, Adalı T, Calhoun VD. Silva RF, et al. Neuroimage. 2014 Nov 15;102 Pt 1(Pt 1):92-117. doi: 10.1016/j.neuroimage.2014.04.035. Epub 2014 Apr 18. Neuroimage. 2014. PMID: 24747087 Free PMC article. Review.

6

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.

Sarwate AD, Plis SM, Turner JA, Arbabshirani MR, Calhoun VD. Sarwate AD, et al. Front Neuroinform. 2014 Apr 7;8:35. doi: 10.3389/fninf.2014.00035. eCollection 2014. Front Neuroinform. 2014. PMID: 24778614 Free PMC article.

7

Deep learning for neuroimaging: a validation study.

Plis SM, Hjelm DR, Salakhutdinov R, Allen EA, Bockholt HJ, Long JD, Johnson HJ, Paulsen JS, Turner JA, Calhoun VD. Plis SM, et al. Front Neurosci. 2014 Aug 20;8:229. doi: 10.3389/fnins.2014.00229. eCollection 2014. Front Neurosci. 2014. PMID: 25191215 Free PMC article.

8

Group-level component analyses of EEG: validation and evaluation.

Huster RJ, Plis SM, Calhoun VD. Huster RJ, et al. Front Neurosci. 2015 Jul 29;9:254. doi: 10.3389/fnins.2015.00254. eCollection 2015. Front Neurosci. 2015. PMID: 26283897 Free PMC article.

9

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Arbabshirani MR, Plis S, Sui J, Calhoun VD. Arbabshirani MR, et al. Among authors: plis s. Neuroimage. 2017 Jan 15;145(Pt B):137-165. doi: 10.1016/j.neuroimage.2016.02.079. Epub 2016 Mar 21. Neuroimage. 2017. PMID: 27012503 Free PMC article. Review.

10

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.

Jang H, Plis SM, Calhoun VD, Lee JH. Jang H, et al. Neuroimage. 2017 Jan 15;145(Pt B):314-328. doi: 10.1016/j.neuroimage.2016.04.003. Epub 2016 Apr 11. Neuroimage. 2017. PMID: 27079534 Free PMC article.

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