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Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior

Deep learning has shown potential in significantly improving performance for undersampled magnetic resonance (MR) image reconstruction. However, one challenge for the application of deep learning to clinical scenarios is the requirement of large, high-quality patient-based datasets for network train...

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Detalhes bibliográficos
Publicado no:Comput Math Methods Med
Main Authors: Zhao, Di, Huang, Yanhu, Zhao, Feng, Qin, Binyi, Zheng, Jincun
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7846397/
https://ncbi.nlm.nih.gov/pubmed/33552232
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/8865582
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