- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Deep learning-based PET image denoising and reconstruction: a review ; volume:17 ; number:1 ; day:6 ; month:2 ; year:2024 ; pages:24-46 ; date:3.2024
Radiological physics and technology ; 17, Heft 1 (6.2.2024), 24-46, 3.2024
- Creator
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Hashimoto, Fumio
Onishi, Yuya
Ote, Kibo
Tashima, Hideaki
Reader, Andrew J.
Yamaya, Taiga
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s12194-024-00780-3
- URN
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urn:nbn:de:101:1-2405210713213.323457065662
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:00 AM CEST
Data provider
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Associated
- Hashimoto, Fumio
- Onishi, Yuya
- Ote, Kibo
- Tashima, Hideaki
- Reader, Andrew J.
- Yamaya, Taiga
- SpringerLink (Online service)
Other Objects (12)
Correction to: Deep learning-based PET image denoising and reconstruction: a review
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Advanced image reconstruction and denoising : bregmanized (higher order) total variation and application in PET
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Guided block matching and 4-D transform domain filter projection denoising method for dynamic PET image reconstruction
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Fully Unsupervised Image Denoising, Diversity Denoising and Image Segmentation with Limited Annotations
Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain
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Correction to: Deep learning-based PET image denoising and reconstruction: a review
Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance
Image Denoising
Learning-based low-rank denoising
Advanced image reconstruction and denoising : bregmanized (higher order) total variation and application in PET
A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
Guided block matching and 4-D transform domain filter projection denoising method for dynamic PET image reconstruction
Deflectometry and image denoising
Fully Unsupervised Image Denoising, Diversity Denoising and Image Segmentation with Limited Annotations
Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain
Complexities of deep learning-based undersampled MR image reconstruction
Correction to: Deep learning-based PET image denoising and reconstruction: a review
Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance
Image Denoising
Learning-based low-rank denoising
Advanced image reconstruction and denoising : bregmanized (higher order) total variation and application in PET
A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
Guided block matching and 4-D transform domain filter projection denoising method for dynamic PET image reconstruction
Deflectometry and image denoising
Fully Unsupervised Image Denoising, Diversity Denoising and Image Segmentation with Limited Annotations
Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain