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 |
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