Deep Network Regularization for Phase-based Magnetic Resonance Electrical Properties Tomography with Stein’s Unbiased Risk Estimator
This study is the first to develop a self-supervised denoiser for featureless RF phase corrupted by non-Gaussian noise, utilizing a randomly initialized CNN prior that is optimized with an unbiased estimator.
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