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The "hidden noise" problem in MR image reconstruction.

Jiayang WangDi AnJustin P Haldar
Published in: Magnetic resonance in medicine (2024)
Reference data containing hidden noise can substantially mislead the ranking of image reconstruction methods when using conventional error metrics, but this issue can be mitigated with alternative error metrics.
Keyphrases
  • deep learning
  • air pollution
  • electronic health record
  • magnetic resonance
  • big data
  • magnetic resonance imaging
  • artificial intelligence
  • computed tomography