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Accelerating magnetic resonance image (MRI) reconstruction process is a challenging ill-posed inverse problem due to the excessive under-sampling operation in k-space.
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Eo, T., Jun, Y., Kim, T., Jang, J., Lee, H.J., Hwang, D.: Kiki-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images. Magnetic resonance in medicine 80
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Chen, E.Z., Chen, T., Sun, S.: Mri image reconstruction via learning optimization using neural odes. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 83–93. Springer (2020)
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