Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.

Amirmohammad Shamaei Jana Starčuková Iveta Pavlova Zenon Starcuk

Published in: Magnetic resonance in medicine (2022)

The proposed physics-informed deep neural networks trained in an unsupervised manner with complex data can offer efficient FPC of large MRS data in a shorter time.

Keyphrases

neural network
machine learning
deep learning
electronic health record
big data
artificial intelligence
convolutional neural network
data analysis
high intensity