Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR).
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| Title: | Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR). |
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| Authors: | Hyodoh H; Department of Forensic Medicine, University of Fukui School of Medical Sciences, Japan. Electronic address: hyodoh@u-fukui.ac.jp., Shimbashi S; Department of Forensic Medicine, University of Fukui School of Medical Sciences, Japan., Maruyama R; Radiological Center, University of Fukui Hospital, Japan., Yachida T; Radiological Center, University of Fukui Hospital, Japan. |
| Source: | Forensic science international [Forensic Sci Int] 2026 Aug; Vol. 385, pp. 112973. Date of Electronic Publication: 2026 Apr 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42019274 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hyodoh+H%22">Hyodoh H</searchLink>; Department of Forensic Medicine, University of Fukui School of Medical Sciences, Japan. Electronic address: hyodoh@u-fukui.ac.jp.<br /><searchLink fieldCode="AU" term="%22Shimbashi+S%22">Shimbashi S</searchLink>; Department of Forensic Medicine, University of Fukui School of Medical Sciences, Japan.<br /><searchLink fieldCode="AU" term="%22Maruyama+R%22">Maruyama R</searchLink>; Radiological Center, University of Fukui Hospital, Japan.<br /><searchLink fieldCode="AU" term="%22Yachida+T%22">Yachida T</searchLink>; Radiological Center, University of Fukui Hospital, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227902034%22">Forensic science international</searchLink> [Forensic Sci Int] 2026 Aug; Vol. 385, pp. 112973. <i>Date of Electronic Publication: </i>2026 Apr 15. – 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="%22Elsevier+Science+Ireland%22">Elsevier Science Ireland </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>7902034 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-6283 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203790738%22">03790738 </searchLink><i>NLM ISO Abbreviation: </i>Forensic Sci Int <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42019274 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.forsciint.2026.112973 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 112973 Titles: – TitleFull: Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hyodoh H – PersonEntity: Name: NameFull: Shimbashi S – PersonEntity: Name: NameFull: Maruyama R – PersonEntity: Name: NameFull: Yachida T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2026 Aug Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1872-6283 Numbering: – Type: volume Value: 385 Titles: – TitleFull: Forensic science international Type: main |
| ResultId | 1 |
