Search results

• 2024

  A motion-corrected deep-learning reconstruction framework for accelerating whole-heart magnetic resonance imaging in patients with congenital heart disease

  Phair, A., Fotaki, A., Felsner, L., Fletcher, T. J., Qi, H., Botnar, R. M. & Prieto, C., 24 Mar 2024, In: Journal of Cardiovascular Magnetic Resonance. 26, 1, p. 101039 101039.

  Research output: Contribution to journal › Article › peer-review

  Open Access

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  • Patient 100%
  • Magnetic Resonance Imaging 100%
  • Learning 100%
  • Persistent Truncus Arteriosus 100%
  • Disease Patient 50%
  4 Citations (Scopus)

  43 Downloads (Pure)

• A motion-corrected deep-learning reconstruction framework for accelerating whole-heart MRI in patients with congenital heart disease

  Phair, A., Fotaki, A., Felsner, L., Fletcher, T., Qi, H., Botnar, R. & Prieto Vasquez, C., 14 Mar 2024, (Accepted/In press) In: Journal of Cardiovascular Magnetic Resonance.

  Research output: Contribution to journal › Article › peer-review