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MRCSNet: Deep Convolutional Neural Network for Compressive Sensing of Magnetic Resonance Images

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MRCSNet

Deep Convolutional Neural Network for Compressive Sensing of Magnetic Resonance Images (CS-MRI)

Notice:

  • The training code will be published after the paper is accepted.
  • The models (CSNet96_10.pt and CSNet96_30.pt) are trained at the sampling ratios of 10% and 30% using an NVIDIA 1080Ti GPU.

Requirements

  • Python 3.5.x
  • Pytorch 0.4.1

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MRCSNet: Deep Convolutional Neural Network for Compressive Sensing of Magnetic Resonance Images

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