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...

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Detalles Bibliográficos
Autores principales: Barbano, Riccardo, Kereta, Željko, Hauptmann, Andreas, Arridge, Simon R, Jin, Bangti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2022
Materias:
Paper
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

Internet

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

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