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Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition
Kuang, Li-Dan, Lin, Qiu-Hua, Gong, Xiao-Feng, Cong, Fengyu, Sui, Jing, Calhoun, Vince D.
Published in Journal of neuroscience methods (30.12.2015)
Published in Journal of neuroscience methods (30.12.2015)
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Independent Component Analysis Applied to Pharmacological Magnetic Resonance Imaging (phMRI): New Insights Into the Functional Networks Underlying Panic Attacks as Induced by CCK-4
Dieler, A., Samann, P., Leicht, G., Eser, D., Kirsch, V., Baghai, T., Karch, S., Schule, C., Pogarell, O., Czisch, M., Rupprecht, R., Mulert, C.
Published in Current pharmaceutical design (01.11.2008)
Published in Current pharmaceutical design (01.11.2008)
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Background MR gradient noise and non-auditory BOLD activations: A data-driven perspective
Haller, Sven, Homola, György A., Scheffler, Klaus, Beckmann, Christian F., Bartsch, Andreas J.
Published in Brain research (28.07.2009)
Published in Brain research (28.07.2009)
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Comparison of three group ICA methods for multi-subject fMRI data analysis
Mingqi Hui, Li Yao, Zhiying Long
Published in International Conference on Information Science and Technology (01.03.2011)
Published in International Conference on Information Science and Technology (01.03.2011)
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Conference Proceeding