BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network

no code implementations • 3 Nov 2020 • Guang Lin, Jianhai Zhang, Yuxi Liu, Tianyang Gao, Wanzeng Kong, Xu Lei, Tao Qiu

Due to its advantages of high temporal and spatial resolution, the technology of simultaneous electroencephalogram-functional magnetic resonance imaging (EEG-fMRI) acquisition and analysis has attracted much attention, and has been widely used in various research fields of brain science.

EEG Generative Adversarial Network

Semantic Change Pattern Analysis

no code implementations • 7 Mar 2020 • Wensheng Cheng, Yan Zhang, Xu Lei, Wen Yang, Gui-Song Xia

Change detection is an important problem in vision field, especially for aerial images.

Change Detection