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Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution (12-page version) (bibtex)
by HN Dang, V Golkov, T Wimmer, D Cremers, A Maier and M Zaiss
Reference:
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution (12-page version) (HN Dang, V Golkov, T Wimmer, D Cremers, A Maier and M Zaiss), In arXiv preprint arXiv:2305.07524, 2023.
Bibtex Entry:
@article{dang2023,
title = {Joint {MR} sequence optimization beats pure neural network approaches for spin-echo {MRI} super-resolution (12-page version)},
author = {HN Dang and V Golkov and T Wimmer and D Cremers and A Maier and M Zaiss},
journal = {arXiv preprint arXiv:2305.07524},
year = {2023},
keywords = {medical imaging, magnetic resonance imaging, pulse sequences, super-resolution, deep learning},
eprint = {2305.07524},
eprinttype = {arXiv},
}
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