Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion.
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| Title: | Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion. |
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| Authors: | You SH; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea., Cho Y; Biomedical Research Center, Korea University College of Medicine, Seoul, Korea.; Department of Computer Science and Engineering, Soonchunhyang University, Asan-si, Korea., Kim B; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea. bj1492.kim@gmail.com., Kim J; Department of Data Science, Korea University College of Informatics, Seoul, Korea., Im GJ; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea., Park E; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea., Kim I; Siemens Healthineers, Erlangen, Germany., Kim KM; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea., Kim BK; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea. |
| Source: | European radiology [Eur Radiol] 2025 Jan; Vol. 35 (1), pp. 38-48. Date of Electronic Publication: 2024 Jul 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39026063 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22You+SH%22">You SH</searchLink>; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Cho+Y%22">Cho Y</searchLink>; Biomedical Research Center, Korea University College of Medicine, Seoul, Korea.; Department of Computer Science and Engineering, Soonchunhyang University, Asan-si, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+B%22">Kim B</searchLink>; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea. bj1492.kim@gmail.com.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Department of Data Science, Korea University College of Informatics, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Im+GJ%22">Im GJ</searchLink>; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Park+E%22">Park E</searchLink>; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+I%22">Kim I</searchLink>; Siemens Healthineers, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Kim+KM%22">Kim KM</searchLink>; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+BK%22">Kim BK</searchLink>; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Jan; Vol. 35 (1), pp. 38-48. <i>Date of Electronic Publication: </i>2024 Jul 18. – 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="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39026063 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-024-10967-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 38 Titles: – TitleFull: Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: You SH – PersonEntity: Name: NameFull: Cho Y – PersonEntity: Name: NameFull: Kim B – PersonEntity: Name: NameFull: Kim J – PersonEntity: Name: NameFull: Im GJ – PersonEntity: Name: NameFull: Park E – PersonEntity: Name: NameFull: Kim I – PersonEntity: Name: NameFull: Kim KM – PersonEntity: Name: NameFull: Kim BK IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Jan Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 35 – Type: issue Value: 1 Titles: – TitleFull: European radiology Type: main |
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