{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:37:42Z","timestamp":1783438662343,"version":"3.54.6"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Shanghai Sailing Program","award":["21YF1402800"],"award-info":[{"award-number":["21YF1402800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101136"],"award-info":[{"award-number":["62101136"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}]},{"name":"ZJLab, Shanghai Center for Brain Science and Brain-Inspired Technology"},{"name":"Shanghai Municipal of Science and Technology Project","award":["20JC1419500"],"award-info":[{"award-number":["20JC1419500"]}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["21ZR1403600"],"award-info":[{"award-number":["21ZR1403600"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2021JDJQ0024"],"award-info":[{"award-number":["2021JDJQ0024"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004912","name":"LAIW (AI in LAW) Advanced Deployed Discipline, Sichuan University, China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004912","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2021.3128703","type":"journal-article","created":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T20:27:37Z","timestamp":1637094457000},"page":"1-12","source":"Crossref","is-referenced-by-count":147,"title":["DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3581-7331","authenticated-orcid":false,"given":"Zhizhong","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5924-3360","authenticated-orcid":false,"given":"Junping","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7201-2092","authenticated-orcid":false,"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0604-3197","authenticated-orcid":false,"given":"Hongming","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/MOP.0b013e3282ffafd2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101628"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2040932"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00273-z"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.000679"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832217"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0057-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2708987"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2833635"},{"key":"ref12","article-title":"A cascaded convolutional neural network for X-ray low-dose CT image denoising","author":"Wu","year":"2017","journal-title":"arXiv:1705.04267"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00823"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00461"},{"key":"ref18","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.595662"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.882141"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1118\/1.3232004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2175233"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3050190"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2195669"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1118\/1.3638125"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/55\/18\/009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2968472"},{"key":"ref30","first-page":"1","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Karras"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3017036"},{"key":"ref33","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref34","first-page":"5769","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gulrajani"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref36","first-page":"1","article-title":"Spectral normalization for generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Miyato"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0056-0"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01243"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823768"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/4.996"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14594"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2963248"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3113365"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09617604.pdf?arnumber=9617604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:12:28Z","timestamp":1705025548000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9617604\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3128703","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}