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Unsupervised knowledge-transfer for learned image reconstruction
Deep learning-based image reconstruction approaches have demonstrated impressive empirical performance in many imaging modalities. These approaches usually require a large amount of high-quality paired training data, which is often not available in medical imaging. To circumvent this issue we develo...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
IOP Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515400/ https://www.ncbi.nlm.nih.gov/pubmed/37745782 http://dx.doi.org/10.1088/1361-6420/ac8a91 |