Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising.
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| Title: | Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising. |
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| Authors: | Alkhodari, Mohanad1, Alefisha, Eman2, Jelinek, Herbert F.2, Kaabneh, Ahmed3, Liatsis, Panos4, panos.liatsis@ku.ac.ae |
| Source: | Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-67, 67p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187180849 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11311-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 67 StartPage: 1 Titles: – TitleFull: Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alkhodari, Mohanad – PersonEntity: Name: NameFull: Alefisha, Eman – PersonEntity: Name: NameFull: Jelinek, Herbert F. – PersonEntity: Name: NameFull: Kaabneh, Ahmed – PersonEntity: Name: NameFull: Liatsis, Panos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 10 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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