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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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Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI., , , and . ISBI, page 754-757. IEEE, (2006)A Time-Varying Eigenspectrum/SVM Method for Semg Classification of Reaching Movements in Healthy and Stroke Subjects., , and . ICASSP (2), page 1188-1191. IEEE, (2006)An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis., , and . IEEE Trans. Med. Imaging, 24 (1): 29-44 (2005)Introduction to the Issue on fMRI Analysis for Human Brain Mapping., , , , , , and . J. Sel. Topics Signal Processing, 2 (6): 813-816 (2008)A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks., , , , and . J. Sel. Topics Signal Processing, 10 (7): 1172-1181 (2016)Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics., , , , , and . Comp. in Bio. and Med., (2017)Pumpkin Garden: A Mobile Game Platform for Monitoring Parkinson's Disease Symptoms., , , , , and . HCI (27), volume 10927 of Lecture Notes in Computer Science, page 546-560. Springer, (2018)Movement Based Classification of People with Stroke Through Automated Analysis of Three-Dimensional Motion Data., , , , , and . IAS, volume 867 of Advances in Intelligent Systems and Computing, page 520-533. Springer, (2018)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)Connectivity-based parcellation of putamen using resting state fMRI data., , , , and . ISBI, page 34-37. IEEE, (2015)