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Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.

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Title: Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.
Authors: Yan L; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Tan Q; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Kohnert D; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Nickel MD; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany., Weiland E; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany., Kubicka F; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Jahnke P; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Geisel D; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Wagner M; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Walter-Rittel T; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany. Thula.Walter-Rittel@charite.de.
Source: BMC medical imaging [BMC Med Imaging] 2025 Jul 15; Vol. 25 (1), pp. 284. Date of Electronic Publication: 2025 Jul 15.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.
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  Data: <searchLink fieldCode="AU" term="%22Yan+L%22">Yan L</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Tan+Q%22">Tan Q</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Kohnert+D%22">Kohnert D</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Nickel+MD%22">Nickel MD</searchLink>; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Weiland+E%22">Weiland E</searchLink>; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Kubicka+F%22">Kubicka F</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Jahnke+P%22">Jahnke P</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Geisel+D%22">Geisel D</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Wagner+M%22">Wagner M</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Walter-Rittel+T%22">Walter-Rittel T</searchLink>; Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany. Thula.Walter-Rittel@charite.de.
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  Data: <searchLink fieldCode="JN" term="%22100968553%22">BMC medical imaging</searchLink> [BMC Med Imaging] 2025 Jul 15; Vol. 25 (1), pp. 284. <i>Date of Electronic Publication: </i>2025 Jul 15.
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              Text: 2025 Jul 15
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