Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

MDPI Applied Sciences 2020 Zaccharie RamziPhilippe CiuciuJean-Luc Starck

Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging (MRI). A lot of networks are being developed, but the comparisons remain hard because the frameworks used are not the same among studies, the networks are not properly re-trained, and the datasets used are not the same among comparisons... (read more)

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