Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair.
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| Title: | Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair. |
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| Authors: | Akouris PP; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Kim S; Department of Medical Biophysics and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.; Vector Institute, Toronto, ON, Canada.; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada., Javidan AP; Division of Vascular Surgery, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada., McIntosh C; Department of Medical Biophysics and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.; Vector Institute, Toronto, ON, Canada.; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada., Crawford SA; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.; Division of Vascular Surgery, University of Toronto, Toronto, ON, Canada.; Division of Vascular Surgery, Department of Surgery, University Health Network, Toronto, ON, Canada. |
| Source: | Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists [J Endovasc Ther] 2026 Apr 22, pp. 15266028261437610. Date of Electronic Publication: 2026 Apr 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 100896915 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1545-1550 (Electronic) Linking ISSN: 15266028 NLM ISO Abbreviation: J Endovasc Ther Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42017358 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Akouris+PP%22">Akouris PP</searchLink>; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Medical Biophysics and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.; Vector Institute, Toronto, ON, Canada.; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Javidan+AP%22">Javidan AP</searchLink>; Division of Vascular Surgery, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22McIntosh+C%22">McIntosh C</searchLink>; Department of Medical Biophysics and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.; Vector Institute, Toronto, ON, Canada.; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.; Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Crawford+SA%22">Crawford SA</searchLink>; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.; Division of Vascular Surgery, University of Toronto, Toronto, ON, Canada.; Division of Vascular Surgery, Department of Surgery, University Health Network, Toronto, ON, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100896915%22">Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists</searchLink> [J Endovasc Ther] 2026 Apr 22, pp. 15266028261437610. <i>Date of Electronic Publication: </i>2026 Apr 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100896915 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1545-1550 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215266028%22">15266028 </searchLink><i>NLM ISO Abbreviation: </i>J Endovasc Ther <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42017358 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/15266028261437610 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 15266028261437610 Titles: – TitleFull: Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akouris PP – PersonEntity: Name: NameFull: Kim S – PersonEntity: Name: NameFull: Javidan AP – PersonEntity: Name: NameFull: McIntosh C – PersonEntity: Name: NameFull: Crawford SA IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 04 Text: 2026 Apr 22 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1545-1550 Titles: – TitleFull: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Type: main |
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