Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data

Kang Lin, Reinhard Heckel

Deep learning based methods for image reconstruction are state-of-the-art for a variety of imaging tasks. However, neural networks often perform worse if the training data differs…