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      Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields

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          U-Net: Convolutional Networks for Biomedical Image Segmentation

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            Image Quality Assessment: From Error Visibility to Structural Similarity

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              Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Signal, Image and Video Processing
                SIViP
                Springer Science and Business Media LLC
                1863-1703
                1863-1711
                October 2022
                February 12 2022
                October 2022
                : 16
                : 7
                : 1963-1971
                Article
                10.1007/s11760-022-02157-8
                6424ad68-652a-4477-8053-1d33c9dbefdf
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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