{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T15:54:39Z","timestamp":1769010879173,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,13]],"date-time":"2018-10-13T00:00:00Z","timestamp":1539388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61661031, 61871206"],"award-info":[{"award-number":["61661031, 61871206"]}]},{"name":"the Key Scientist Training Plan of Jiangxi Province","award":["20171BBH80023"],"award-info":[{"award-number":["20171BBH80023"]}]},{"name":"the Basic Research Program of Shenzhen","award":["JCYJ20150831154213680"],"award-info":[{"award-number":["JCYJ20150831154213680"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,13]]},"DOI":"10.1145\/3285996.3286009","type":"proceedings-article","created":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T21:42:15Z","timestamp":1547070135000},"page":"55-59","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors"],"prefix":"10.1145","author":[{"given":"Minghui","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electronic Information, Engineering, Nanchang University, Nanchang, China"}]},{"given":"Fengqin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electronic Information, Engineering, Nanchang University, Nanchang, China"}]},{"given":"Qiegen","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electronic Information, Engineering, Nanchang University, Nanchang, China"}]},{"given":"Dong","family":"Liang","sequence":"additional","affiliation":[{"name":"Paul C. Lauterbur Research Center, for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2018,10,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.298.3.317"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra072149"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/57\/23\/7923"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-5193(70)90109-8"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/016173468400600107"},{"issue":"2","key":"e_1_3_2_1_6_1","first-page":"119","article-title":"Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT","volume":"14","author":"Sidky E. Y.","year":"2006","journal-title":"Journal of X-ray Science and Technology."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"J. Song Q. H. Liu G. A. Johnson and C. T. Badea. 2007. Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT. Medical physics. 34(11) 4476--4483.  J. Song Q. H. Liu G. A. Johnson and C. T. Badea. 2007. Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT. Medical physics. 34(11) 4476--4483.","DOI":"10.1118\/1.2795830"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/56\/18\/011"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2295738"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Q. Xu H. Yu X. Mou and G. Wang. 2014. Dictionary learning based low dose x-ray CT reconstruction. Frontiers of Medical Imaging. 99--119.  Q. Xu H. Yu X. Mou and G. Wang. 2014. Dictionary learning based low dose x-ray CT reconstruction. Frontiers of Medical Imaging. 99--119.","DOI":"10.1142\/9789814611107_0006"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3233\/XST-160579"},{"key":"e_1_3_2_1_12_1","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer. 234--241","author":"Ronneberger O."},{"key":"e_1_3_2_1_13_1","volume-title":"Proc. IEEE CVPR. 1637--1645","author":"Kim J."},{"key":"e_1_3_2_1_14_1","volume-title":"International Conference on MICCAI. Springer. 432--440","author":"Wurfl T."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"H. Chen Y. Zhang W. Zhang P. Liao K. Li J. Zhou and G. Wang. 2017. Low-dose CT via convolutional neural network. Biomedical optics express. 8(2) 679--694.  H. Chen Y. Zhang W. Zhang P. Liao K. Li J. Zhou and G. Wang. 2017. Low-dose CT via convolutional neural network. Biomedical optics express. 8(2) 679--694.","DOI":"10.1364\/BOE.8.000679"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"H. Chen Y. Zhang M. K. Kalra F. Lin P. Liao J. Zhou and G. Wang. 2017. Low-dose CT with a residual encoder-decoder convolutional neural network (RED-CNN). arXiv preprint arXiv:1702.00288.  H. Chen Y. Zhang M. K. Kalra F. Lin P. Liao J. Zhou and G. Wang. 2017. Low-dose CT with a residual encoder-decoder convolutional neural network (RED-CNN). arXiv preprint arXiv:1702.00288.","DOI":"10.1109\/TMI.2017.2715284"},{"key":"e_1_3_2_1_18_1","volume-title":"International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (arXiv preprint arXiv:1703","author":"Kang E."},{"key":"e_1_3_2_1_19_1","unstructured":"E. Kang J. Yoo and J. C. Ye.2017. Wavelet residual network for low-dose CT via deep convolutional framelets. ArXiv preprint arXiv:1707.09938.  E. Kang J. Yoo and J. C. Ye.2017. Wavelet residual network for low-dose CT via deep convolutional framelets. ArXiv preprint arXiv:1707.09938."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"e_1_3_2_1_21_1","unstructured":"Y. Han J. Yoo and J. C. Ye. 2016. Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis. ArXiv preprint arXiv:1611.06391.  Y. Han J. Yoo and J. C. Ye. 2016. Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis. ArXiv preprint arXiv:1611.06391."},{"key":"e_1_3_2_1_22_1","unstructured":"S.A. Bigdeli and M. Zwicker. 2017. Image restoration using autoencoding priors. ArXiv preprint arXiv: 1703.09964.  S.A. Bigdeli and M. Zwicker. 2017. Image restoration using autoencoding priors. ArXiv preprint arXiv: 1703.09964."},{"key":"e_1_3_2_1_23_1","first-page":"3743","article-title":"What regularized auto-encoders learn from the data-generating distribution","volume":"15","author":"Alain G.","year":"2014","journal-title":"Journal of Machine Learning Research."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206802"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2704443"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.05.007"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2217329"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.558475"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2197962.2201952"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2008420"},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of 4th IEEE Andean Technical Conference (ANDESCON).","author":"Rodriguez P."},{"key":"e_1_3_2_1_32_1","article-title":"Imagenet: A large-scale hierarchical image database","author":"Deng J.","year":"2009","journal-title":"IEEE Trans. Image Process. 248--255."},{"key":"e_1_3_2_1_33_1","volume-title":"Proc. Int. Conf. Artif. Neural Netw. 281--290","author":"Cong J."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823768"}],"event":{"name":"ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018","location":"Chengdu China","acronym":"ISICDM 2018","sponsor":["University of Electronic Science and Technology of China University of Electronic Science and Technology of China"]},"container-title":["Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3285996.3286009","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3285996.3286009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:44:15Z","timestamp":1750207455000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3285996.3286009"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,13]]},"references-count":34,"alternative-id":["10.1145\/3285996.3286009","10.1145\/3285996"],"URL":"https:\/\/doi.org\/10.1145\/3285996.3286009","relation":{},"subject":[],"published":{"date-parts":[[2018,10,13]]},"assertion":[{"value":"2018-10-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}