Research output per year
Research output per year
Search results
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2025
End-to-end deep learning-based motion correction and reconstruction for accelerated whole-heart joint T 1/T 2 mapping.
Felsner, L., Velasco, C., Phair, A., Fletcher, T. J., Qi, H., Botnar, R. M. & Prieto, C., 21 Apr 2025, (E-pub ahead of print) In: Magnetic resonance imaging. 121, p. 110396 110396.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
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 AccessFile8 Citations (Scopus)76 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