Lung volume segmentation in fetal MRI: super-resolution reconstructions improve inter-rater reliability.

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Title: Lung volume segmentation in fetal MRI: super-resolution reconstructions improve inter-rater reliability.
Authors: Payette K; Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland. kelly.payette@kispi.uzh.ch.; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland. kelly.payette@kispi.uzh.ch.; Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. kelly.payette@kispi.uzh.ch., Geiger J; Department of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.; University of Zurich, Zurich, Switzerland.; Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Zellner M; Department of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Steger C; Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.; Pediatric Cardiology, Pediatric Heart Center, Department of Surgery, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Kellenberger CJ; Department of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Tuura R; Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Kottke R; Department of Diagnostic Imaging and Intervention, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland., Jakab A; Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
Source: European radiology experimental [Eur Radiol Exp] 2025 Sep 09; Vol. 9 (1), pp. 88. Date of Electronic Publication: 2025 Sep 09.
Publication Type: Journal Article
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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ISSN:2509-9280
DOI:10.1186/s41747-025-00628-4