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Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements.

, , and . ICASSP (2), page 1156-1159. IEEE, (2006)

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Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm., and . J. Mach. Learn. Res., (2009)Transformation Invariant Control of Voxel-Wise False Discovery Rate., , and . IEEE Trans. Med. Imaging, 35 (10): 2243-2257 (2016)Development of the human fetal hippocampal formation during early second trimester., , , , , , , , , and 7 other author(s). NeuroImage, (2015)Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods., , , and . NeuroImage, 41 (2): 398-407 (2008)Clustering-based energy-aware virtual network embedding., , , and . IJDSN, (2017)Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements., , and . ICASSP (2), page 1156-1159. IEEE, (2006)Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization., , , , , and . IEEE Trans. Med. Imaging, 33 (5): 1005-1022 (2014)Spatial-temporal atlas of human fetal brain development during the early second trimester., , , , , , , , , and 5 other author(s). NeuroImage, (2013)A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference., , , and . Comp. Math. Methods in Medicine, (2012)Automatic brain tumor detection in Magnetic Resonance Images., , , , , and . ISBI, page 574-577. IEEE, (2012)