Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP

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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP

Author: Birk, Florian; Mahler, Lucas; Steiglechner, Julius; Wang, Qi; Scheffler, Klaus; Heule, Rahel
Tübinger Autor(en):
Birk, Florian
Mahler, Lucas
Steiglechner, Julius
Wang, Qi
Scheffler, Klaus
Heule, Rahel
Published in: Scientific Reports (2025), Bd. 15 (1), Article 4825
Verlagsangabe: Berlin : Nature Portfolio
Language: English
Full text: http://dx.doi.org/10.1038/s41598-025-88579-z
ISSN: 2045-2322
DDC Classifikation: 500 - Natural sciences and mathematics
Dokumentart: Article
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