Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning.
Frank ZijlstraPeter Thomas WhilePublished in: Magma (New York, N.Y.) (2024)
Synthetic raw data generation improved reconstruction quality in scenarios with limited training data. A major advantage of synthetic data generation is that it allows for the reuse of magnitude-only datasets, which are more readily available than raw datasets.