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MoDL: Model Based Deep Learning Architecture for Inverse Problems

We introduce a model-based image reconstruction framework with a convolution neural network (CNN) based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitrary structure. Since the forward model is explicit...

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Publicat a:IEEE Trans Med Imaging
Autors principals: Aggarwal, Hemant K., Mani, Merry P., Jacob, Mathews
Format: Artigo
Idioma:Inglês
Publicat: 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6760673/
https://ncbi.nlm.nih.gov/pubmed/30106719
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2865356
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