Kuang LD - Search Results

1

Tensor decomposition of EEG signals: a brief review.

Cong F, Lin QH, Kuang LD, Gong XF, Astikainen P, Ristaniemi T. Cong F, et al. Among authors: kuang ld. J Neurosci Methods. 2015 Jun 15;248:59-69. doi: 10.1016/j.jneumeth.2015.03.018. Epub 2015 Apr 1. J Neurosci Methods. 2015. PMID: 25840362 Free article. Review.

2

ICA of full complex-valued fMRI data using phase information of spatial maps.

Yu MC, Lin QH, Kuang LD, Gong XF, Cong F, Calhoun VD. Yu MC, et al. Among authors: kuang ld. J Neurosci Methods. 2015 Jul 15;249:75-91. doi: 10.1016/j.jneumeth.2015.03.036. Epub 2015 Apr 7. J Neurosci Methods. 2015. PMID: 25857613 Free article.

3

Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition.

Kuang LD, Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. Kuang LD, et al. J Neurosci Methods. 2015 Dec 30;256:127-40. doi: 10.1016/j.jneumeth.2015.08.023. Epub 2015 Sep 4. J Neurosci Methods. 2015. PMID: 26327319

4

Adaptive independent vector analysis for multi-subject complex-valued fMRI data.

Kuang LD, Lin QH, Gong XF, Cong F, Calhoun VD. Kuang LD, et al. J Neurosci Methods. 2017 Apr 1;281:49-63. doi: 10.1016/j.jneumeth.2017.01.017. Epub 2017 Feb 16. J Neurosci Methods. 2017. PMID: 28214528

5

Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia.

Kuang LD, Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. Kuang LD, et al. J Neurosci Methods. 2018 Jul 1;304:24-38. doi: 10.1016/j.jneumeth.2018.02.013. Epub 2018 Apr 16. J Neurosci Methods. 2018. PMID: 29673968

6

Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data.

Qiu Y, Lin QH, Kuang LD, Gong XF, Cong F, Wang YP, Calhoun VD. Qiu Y, et al. Among authors: kuang ld. Hum Brain Mapp. 2019 Jun 15;40(9):2662-2676. doi: 10.1002/hbm.24551. Epub 2019 Feb 27. Hum Brain Mapp. 2019. PMID: 30811773 Free PMC article.

7

Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint.

Kuang LD, Lin QH, Gong XF, Cong F, Wang YP, Calhoun VD. Kuang LD, et al. IEEE Trans Med Imaging. 2020 Apr;39(4):844-853. doi: 10.1109/TMI.2019.2936046. Epub 2019 Aug 19. IEEE Trans Med Imaging. 2020. PMID: 31425066 Free PMC article.

8

Sparse representation of complex-valued fMRI data based on spatiotemporal concatenation of real and imaginary parts.

Zhang CY, Lin QH, Kuang LD, Li WX, Gong XF, Calhoun VD. Zhang CY, et al. Among authors: kuang ld. J Neurosci Methods. 2021 Mar 1;351:109047. doi: 10.1016/j.jneumeth.2020.109047. Epub 2020 Dec 29. J Neurosci Methods. 2021. PMID: 33385421

9

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint.

Han Y, Lin QH, Kuang LD, Gong XF, Cong F, Wang YP, Calhoun VD. Han Y, et al. Among authors: kuang ld. IEEE Trans Med Imaging. 2022 Mar;41(3):667-679. doi: 10.1109/TMI.2021.3122226. Epub 2022 Mar 2. IEEE Trans Med Imaging. 2022. PMID: 34694992 Free PMC article.

10

Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares.

Kuang LD, Lin QH, Gong XF, Zhang J, Li W, Li F, Calhoun VD. Kuang LD, et al. IEEE Trans Neural Syst Rehabil Eng. 2022;30:2630-2640. doi: 10.1109/TNSRE.2022.3198679. Epub 2022 Sep 19. IEEE Trans Neural Syst Rehabil Eng. 2022. PMID: 35969549 Free PMC article.

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