Abstract: The removal of artifacts is essential for improving the quality and reliability of electroencephalogram (EEG) data in academic research. Traditional methods, such as mix source separation ...
Abstract: Against the metal artifact reduction (MAR) task in computed tomography (CT) imaging, most of the existing deep-learning-based approaches generally select a single Hounsfield unit (HU) window ...
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