Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks

To determine the significance of complex-valued inputs and complex-valued convolutions compared to real-valued inputs and real-valued convolutions in convolutional neural networks (CNNs) for frequency and phase correction (FPC) of GABA-edited magnetic resonance spectroscopy (MRS) data.