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Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.

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Title: Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.
Authors: Rama E; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Yu S; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Schraven S; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Gremse-IT GmbH, Aachen, Germany., Gurberg Z; Gremse-IT GmbH, Aachen, Germany., Savina E; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Liu J; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany., Magnuska ZA; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria., Gremse F; Gremse-IT GmbH, Aachen, Germany., Kiessling F; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany. fkiessling@ukaachen.de.
Source: European radiology experimental [Eur Radiol Exp] 2026 May 29; Vol. 10 (1). Date of Electronic Publication: 2026 May 29.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.
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  Data: <searchLink fieldCode="AU" term="%22Rama+E%22">Rama E</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Yu+S%22">Yu S</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Schraven+S%22">Schraven S</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Gremse-IT GmbH, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Gurberg+Z%22">Gurberg Z</searchLink>; Gremse-IT GmbH, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Savina+E%22">Savina E</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Liu+J%22">Liu J</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Magnuska+ZA%22">Magnuska ZA</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.; Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Gremse+F%22">Gremse F</searchLink>; Gremse-IT GmbH, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Kiessling+F%22">Kiessling F</searchLink>; Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany. fkiessling@ukaachen.de.
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  Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2026 May 29; Vol. 10 (1). <i>Date of Electronic Publication: </i>2026 May 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s41747-026-00742-x
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        Text: English
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      – TitleFull: Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.
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            NameFull: Rama E
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            – D: 29
              M: 05
              Text: 2026 May 29
              Type: published
              Y: 2026
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