Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceSignal-to-noise ratio is crucial for MR image analysis. In this work, we proposed a non-blind complex-valued convolutional neural network for MRI denoising. Compared to existing denoising methods, the proposed method shows better performance on handling noise at different levels and on spatially variant noise.
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