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Deep learning-based defacing tool for CT angiography: CTA-DEFACE.

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Title: Deep learning-based defacing tool for CT angiography: CTA-DEFACE.
Authors: Mahmutoglu MA; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. mustafaahmed.mahmutoglu@med.uni-heidelberg.de.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany. mustafaahmed.mahmutoglu@med.uni-heidelberg.de., Rastogi A; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany., Schell M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany., Foltyn-Dumitru M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany., Baumgartner M; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.; Helmholtz Imaging, Heidelberg, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany., Maier-Hein KH; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Deike-Hofmann K; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Clinical Neuroimaging Group, German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany., Radbruch A; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Clinical Neuroimaging Group, German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany., Bendszus M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Brugnara G; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany., Vollmuth P; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.
Source: European radiology experimental [Eur Radiol Exp] 2024 Oct 09; Vol. 8 (1), pp. 111. Date of Electronic Publication: 2024 Oct 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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  Data: Deep learning-based defacing tool for CT angiography: CTA-DEFACE.
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  Data: <searchLink fieldCode="AU" term="%22Mahmutoglu+MA%22">Mahmutoglu MA</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. mustafaahmed.mahmutoglu@med.uni-heidelberg.de.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany. mustafaahmed.mahmutoglu@med.uni-heidelberg.de.<br /><searchLink fieldCode="AU" term="%22Rastogi+A%22">Rastogi A</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Schell+M%22">Schell M</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Foltyn-Dumitru+M%22">Foltyn-Dumitru M</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Baumgartner+M%22">Baumgartner M</searchLink>; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.; Helmholtz Imaging, Heidelberg, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Maier-Hein+KH%22">Maier-Hein KH</searchLink>; Division for Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Deike-Hofmann+K%22">Deike-Hofmann K</searchLink>; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Clinical Neuroimaging Group, German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany.<br /><searchLink fieldCode="AU" term="%22Radbruch+A%22">Radbruch A</searchLink>; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Clinical Neuroimaging Group, German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany.<br /><searchLink fieldCode="AU" term="%22Bendszus+M%22">Bendszus M</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Brugnara+G%22">Brugnara G</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Vollmuth+P%22">Vollmuth P</searchLink>; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2024 Oct 09; Vol. 8 (1), pp. 111. <i>Date of Electronic Publication: </i>2024 Oct 09.
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              Text: 2024 Oct 09
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