most citedPhysics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

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physics.med-ph2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

Dicheng Chen, Zi Wang, Di Guo +2

Since the concept of Deep Learning (DL) was formally proposed in 2006, it had a major impact on academic research and industry. Nowadays, DL provides an unprecedented way to analyz…