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Advances in Neural Information Processing Systems (NeurIPS) , Vol. 21 , 769 ---- 776 . Viren Jain and Sebastian Seung. 2008. Natural Image Denoising with Convolutional Networks. Advances in Neural Information Processing Systems (NeurIPS), Vol. 21, 769----776.","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"e_1_3_2_2_19_1","volume-title":"Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. 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Springer, Berlin, Heidelberg, 390--401."},{"key":"e_1_3_2_2_36_1","volume-title":"Photonics","volume":"9","author":"Wang Sukai","year":"2022","unstructured":"Sukai Wang , Xuan Li , and Ping Chen . 2022 . ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network . In Photonics , Vol. 9 . MDPI, 186. Sukai Wang, Xuan Li, and Ping Chen. 2022. ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network. In Photonics, Vol. 9. MDPI, 186."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3078067"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3088344"},{"key":"e_1_3_2_2_39_1","first-page":"341","article-title":"Image Denoising and Inpainting with Deep Neural Networks","volume":"25","author":"Xie Junyuan","year":"2012","unstructured":"Junyuan Xie , Linli Xu , and Enhong Chen . 2012 . Image Denoising and Inpainting with Deep Neural Networks . Advances in Neural Information Processing Systems (NeurIPS) , Vol. 25 , 341 -- 349 . Junyuan Xie, Linli Xu, and Enhong Chen. 2012. Image Denoising and Inpainting with Deep Neural Networks. Advances in Neural Information Processing Systems (NeurIPS), Vol. 25, 341--349.","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"e_1_3_2_2_40_1","volume-title":"Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. arXiv preprint arXiv:2204.03163","author":"Yang Liutao","year":"2022","unstructured":"Liutao Yang , Zhongnian Li , Rongjun Ge , Junyong Zhao , Haipeng Si , and Daoqiang Zhang . 2022. Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. arXiv preprint arXiv:2204.03163 ( 2022 ). Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, and Daoqiang Zhang. 2022. Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. arXiv preprint arXiv:2204.03163 (2022)."},{"key":"e_1_3_2_2_41_1","volume-title":"Deep Back Projection for Sparse-view CT Reconstruction. In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). 1--5.","author":"Ye Dong Hye","year":"2018","unstructured":"Dong Hye Ye , Gregery T Buzzard , Max Ruby , and Charles A Bouman . 2018 . Deep Back Projection for Sparse-view CT Reconstruction. In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). 1--5. Dong Hye Ye, Gregery T Buzzard, Max Ruby, and Charles A Bouman. 2018. Deep Back Projection for Sparse-view CT Reconstruction. In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). 1--5."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_9"},{"key":"e_1_3_2_2_43_1","volume-title":"Medical image reconstruction: a conceptual tutorial","author":"Zeng Gengsheng Lawrence","unstructured":"Gengsheng Lawrence Zeng . 2010. Medical image reconstruction: a conceptual tutorial . Springer . 36--37 pages. Gengsheng Lawrence Zeng. 2010. Medical image reconstruction: a conceptual tutorial. 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