Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions.
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| Title: | Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions. |
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| Transliterated Title: | Künstliche Intelligenz und Deep Learning für die Weiterentwicklung der PET-Bildrekonstruktion: Stand der Technik und zukünftige Perspektiven. |
| Authors: | Hellwig D; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany., Hellwig NC; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany., Boehner S; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany., Fuchs T; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany., Fischer R; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany., Schmidt D; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany. |
| Source: | Nuklearmedizin. Nuclear medicine [Nuklearmedizin] 2023 Dec; Vol. 62 (6), pp. 334-342. Date of Electronic Publication: 2023 Nov 23. |
| Publication Type: | Review; Journal Article |
| Journal Info: | Publisher: Thieme Country of Publication: Germany NLM ID: 7609387 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2567-6407 (Electronic) Linking ISSN: 00295566 NLM ISO Abbreviation: Nuklearmedizin Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37995706 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions. – Name: TitleTranslated Label: Transliterated Title Group: TiAlt Data: Künstliche Intelligenz und Deep Learning für die Weiterentwicklung der PET-Bildrekonstruktion: Stand der Technik und zukünftige Perspektiven. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hellwig+D%22">Hellwig D</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.<br /><searchLink fieldCode="AU" term="%22Hellwig+NC%22">Hellwig NC</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.<br /><searchLink fieldCode="AU" term="%22Boehner+S%22">Boehner S</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.<br /><searchLink fieldCode="AU" term="%22Fuchs+T%22">Fuchs T</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.<br /><searchLink fieldCode="AU" term="%22Fischer+R%22">Fischer R</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany.; Partner Site Regensburg, Bavarian Center for Cancer Research (BZKF), Regensburg, Germany.; Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.<br /><searchLink fieldCode="AU" term="%22Schmidt+D%22">Schmidt D</searchLink>; Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227609387%22">Nuklearmedizin. Nuclear medicine</searchLink> [Nuklearmedizin] 2023 Dec; Vol. 62 (6), pp. 334-342. <i>Date of Electronic Publication: </i>2023 Nov 23. – Name: TypePub Label: Publication Type Group: TypPub Data: Review; Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Thieme%22">Thieme </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>7609387 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2567-6407 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200295566%22">00295566 </searchLink><i>NLM ISO Abbreviation: </i>Nuklearmedizin <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37995706 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1055/a-2198-0358 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 334 Titles: – TitleFull: Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hellwig D – PersonEntity: Name: NameFull: Hellwig NC – PersonEntity: Name: NameFull: Boehner S – PersonEntity: Name: NameFull: Fuchs T – PersonEntity: Name: NameFull: Fischer R – PersonEntity: Name: NameFull: Schmidt D IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2023 Dec Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2567-6407 Numbering: – Type: volume Value: 62 – Type: issue Value: 6 Titles: – TitleFull: Nuklearmedizin. Nuclear medicine Type: main |
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