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Modularity Reinforcement for Improving Brain Subnetwork Extraction.

, , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 132-139. (2016)

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Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination., , , , and . NeuroImage, (2015)Recent advances in supervised learning for brain graph classification., and . GlobalSIP, page 907-910. IEEE, (2013)Generalized group sparse classifiers with application in fMRI brain decoding., and . CVPR, page 1065-1071. IEEE Computer Society, (2011)Deconvolving the contributions of cell-type heterogeneity on cortical gene expression., , , , , , , , , and 3 other author(s). PLoS Comput. Biol., (2020)Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI., , and . MBIA, volume 7509 of Lecture Notes in Computer Science, page 51-60. Springer, (2012)Modeling Spatiotemporal Structure in fMRI Brain Decoding Using Generalized Sparse Classifiers., and . PRNI, page 65-68. IEEE Computer Society, (2011)Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals., , , and . MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 767-774. Springer, (2007)Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest., , and . ISBI, page 572-575. IEEE, (2008)Effects of tractography approach on consistency between anatomical and functional connectivity estimates., , and . ISBI, page 250-253. IEEE, (2014)Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)., , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 490-497. Springer, (2009)