Improving EEG-fMRI analysis: a preliminary assessment of the IC-U-Net for artifact removal

○Sayuri Noda

[3Pa-137] Improving EEG-fMRI analysis: a preliminary assessment of the IC-U-Net for artifact removal

○Sayuri Noda^1,2, Ryuta Tamano^1,2, Takeshi Ogawa¹, Motoaki Kawanabe¹ (1. CMC, ATR, Kyoto, Japan, 2. Shionogi Co.,&Ltd., Osaka, Japan)

Keywords:EEG-fMRI, Noise reduction, Deep learning

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Presentation information

[3Pa] Brain-Machine Interface

[3Pa-137] Improving EEG-fMRI analysis: a preliminary assessment of the IC-U-Net for artifact removal

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