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Xilin Shen
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2020 – today
- 2022
- [j19]Hongru Shen
, Xilin Shen, Mengyao Feng, Dan Wu, Chao Zhang, Yichen Yang
A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings. Briefings Bioinform. 23(2) (2022) - [j18]Xilin Shen, Hongru Shen
Scalable batch-correction approach for integrating large-scale single-cell transcriptomes. Briefings Bioinform. 23(5) (2022) - [j17]David O'Connor
Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage 264: 119735 (2022) - 2021
- [j16]Qi Lin
Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory. J. Cogn. Neurosci. 33(11): 2279-2296 (2021) - 2020
- [j15]Mehraveh Salehi, Abigail S. Greene
There is no single functional atlas even for a single individual: Functional parcel definitions change with task. NeuroImage 208: 116366 (2020)
2010 – 2019
- 2019
- [j14]Corey Horien
The individual functional connectome is unique and stable over months to years. NeuroImage 189: 676-687 (2019) - [j13]Dustin Scheinost
Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 193: 35-45 (2019) - [c5]Siyuan Gao, Xilin Shen
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. MICCAI (3) 2019: 772-780 - 2018
- [j12]Corey Horien
Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage 169: 172-175 (2018) - [j11]Mehraveh Salehi
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. NeuroImage 170: 54-67 (2018) - 2017
- [j10]Stephanie Noble
Multisite reliability of MR-based functional connectivity. NeuroImage 146: 959-970 (2017) - [j9]Emily S. Finn, Dustin Scheinost
Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage 160: 140-151 (2017) - 2016
- [j8]Dustin Scheinost
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Trans. Biomed. Eng. 63(12): 2540-2549 (2016) - 2015
- [j7]Kathleen A. Garrison, Dustin Scheinost
The (in)stability of functional brain network measures across thresholds. NeuroImage 118: 651-661 (2015) - 2013
- [j6]Xilin Shen
Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. NeuroImage 82: 403-415 (2013) - [c4]Dustin Scheinost
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. CDMRI/MMBC@MICCAI 2013: 219-227 - 2012
- [i1]François G. Meyer, Xilin Shen:
Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising. CoRR abs/1202.6666 (2012) - 2011
- [j5]Roberto Martuzzi, Ramachandran Ramani, MaoLin Qiu, Xilin Shen
A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest. NeuroImage 58(4): 1044-1050 (2011) - 2010
- [j4]Xilin Shen
Graph-theory based parcellation of functional subunits in the brain from resting-state fMRI data. NeuroImage 50(3): 1027-1035 (2010)
2000 – 2009
- 2008
- [j3]Xilin Shen
Low-dimensional embedding of fMRI datasets. NeuroImage 41(3): 886-902 (2008) - [j2]Xilin Shen
Detection and Segmentation of Concealed Objects in Terahertz Images. IEEE Trans. Image Process. 17(12): 2465-2475 (2008) - [j1]François G. Meyer
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior. IEEE Trans. Medical Imaging 27(1): 87-98 (2008) - 2006
- [c3]Xilin Shen, François G. Meyer
Nonlinear Dimension Reduction and Activation Detection for fMRI Dataset. CVPR Workshops 2006: 90 - 2005
- [c2]Xilin Shen
Analysis of Event-Related fMRI Data Using Diffusion Maps. IPMI 2005: 652-663 - 2004
- [c1]François G. Meyer, Xilin Shen:
Multiscale Analysis of fMRI Data with Mixture of Gaussian Densities. ISBI 2004: 1175-1178
Coauthor Index
aka: Robert Todd Constable
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