41 citations · 64 across the 5 of their papers we have counts for
3 papers · 1 filter
Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia
Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun +1
Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide information about neurological functions in complementary spat…
Independent Component Analysis by Entropy Maximization with Kernels
Zois Boukouvalas, Rami Mowakeaa, Geng-Shen Fu +1
Independent component analysis (ICA) is the most popular method for blind source separation (BSS) with a diverse set of applications, such as biomedical signal processing, video an…
Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis
Zois Boukouvalas, Yuri Levin-Schwartz, Tulay Adali
Independent component analysis (ICA) is a powerful method for blind source separation based on the assumption that sources are statistically independent. Though ICA has proven usef…