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논문
총 : 23 건제목 | Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study | ||
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발표지 | EUROPEAN RADIOLOGY | 발표년월 | 2021-8 |
Pubmed URL | https://www.ncbi.nlm.nih.gov/pubmed/34390372/ |
제목 | Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques | ||
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발표지 | EUROPEAN RADIOLOGY | 발표년월 | 2021-7 |
Pubmed URL | https://www.ncbi.nlm.nih.gov/pubmed/33415436/ |
제목 | Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique | ||
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발표지 | EUROPEAN RADIOLOGY | 발표년월 | 2021-4 |
Pubmed URL | https://www.ncbi.nlm.nih.gov/pubmed/33030573/ |
제목 | Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions | ||
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발표지 | EUROPEAN RADIOLOGY | 발표년월 | 2021-2 |
Pubmed URL | https://www.ncbi.nlm.nih.gov/pubmed/34821967/ |