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Authors
Brendel, Jan M.
Dehdab, Reza
Herrmann, Judith
Ursprung, Stephan
Werner, Sebastian
Almansour, Haidara
Weiland, Elisabeth
Nickel, Dominik
Nikolaou, Konstantin
Afat, Saif
Gassenmaier, Sebastian
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Funding
Funding for this research was provided by:
Universitätsklinikum Tübingen
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Article History
Received: 5 December 2024
Accepted: 25 February 2025
First Online: 18 March 2025
Declarations
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: The authors declare a relationship with MR Applications Predevelopment, Siemens Healthineers AG, Forchheim, Germany. The co-authors Elisabeth Weiland and Dominik Nickel are employed by Siemens Healthineers and assisted with the technical development of the deep learning MR reconstruction but did not influence its evaluation or any other aspect of the study. Patient data remained under the control of the authors, who are not affiliated with Siemens.
: The authors declare that the work described has been performed in accordance with the Declaration of Helsinki of the World Medical Association revised in 2013 for experiments involving humans.
: The authors declare that this report does not contain any personal information that could lead to the identification of the patients. Written informed consent was obtained from all participants.
