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Signal correction · Publication

DeepFPC

Two model-informed neural networks trained without labeled frequency or phase shifts to provide efficient correction of simulated, phantom, and edited in-vivo MRS data.

Detailed illustrated overview of model-informed unsupervised deep learning for MRS frequency and phase correction
Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signalsMagn Reson Med. 2023;89:1221–1236