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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution (bibtex)
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution (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 (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},
 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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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group