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MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T<sub>2</sub> Mapping With Severe Head Motion Using Overlapping-Echo Acquisition
Use of synthetic data has provided a potential solution for addressing unavailable or insufficient training samples in deep learning-based magnetic resonance imaging (MRI). However, the challenge brought by domain gap between synthetic and real data is usually encountered, especially under complex experimental conditions. In this study, by combining Bloch simulation …