Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain

Title
Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain
Authors
Keywords
Proton magnetic resonance spectroscopy, Brain, Deep learning, Quality management, Generative adversarial networks
Journal
JOURNAL OF MAGNETIC RESONANCE
Volume 325, Issue -, Pages 106936
Publisher
Elsevier BV
Online
2021-02-15
DOI
10.1016/j.jmr.2021.106936

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search