{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:31:33Z","timestamp":1783438293282,"version":"3.54.6"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"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"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176059"],"award-info":[{"award-number":["62176059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Sailing Program","award":["21YF1402800"],"award-info":[{"award-number":["21YF1402800"]}]},{"name":"Joint Fund of Henan Province Science and Technology Research and Development Program","award":["225200810062"],"award-info":[{"award-number":["225200810062"]}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}]},{"name":"ZJLaboratory"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/tmi.2024.3351722","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T20:27:52Z","timestamp":1704832072000},"page":"1866-1879","source":"Crossref","is-referenced-by-count":24,"title":["Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1955-3508","authenticated-orcid":false,"given":"Zilong","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2106-8445","authenticated-orcid":false,"given":"Qi","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Ministry of Education), the MOE Frontiers Center for Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2979-5332","authenticated-orcid":false,"given":"Yaping","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Henan Provincial People&#x2019;s Hospital, Zhengzhou, Henan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3310-7803","authenticated-orcid":false,"given":"Chuang","family":"Niu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Biomedical Imaging Center, the Center for Biotechnology and Interdisciplinary Studies, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5924-3360","authenticated-orcid":false,"given":"Junping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meiyun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Henan Provincial People&#x2019;s Hospital, Zhengzhou, Henan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2656-7705","authenticated-orcid":false,"given":"Ge","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Biomedical Imaging Center, the Center for Biotechnology and Interdisciplinary Studies, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0604-3197","authenticated-orcid":false,"given":"Hongming","family":"Shan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Ministry of Education), the MOE Frontiers Center for Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00273-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01076"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823083"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2886701"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3025064"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_15"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_24"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00323"},{"key":"ref9","first-page":"4479","article-title":"Fast Fourier convolution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Chi"},{"key":"ref10","first-page":"980","article-title":"Global filter networks for image classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Rao"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2596239"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1118\/1.598853"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/57\/9\/2803"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2478905"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1118\/1.1358303"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.164.2.3602406"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1118\/1.3484090"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1118\/1.3691902"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-013-2809-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0b013e3182532f17"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/42.538943"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/23.856534"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1118\/1.4762567"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2608621"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-018-0609-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_18"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2933425"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2021.3122071"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3101363"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(00)80576-0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_11"},{"key":"ref33","volume-title":"Digital Image Processing: Principles and Applications","author":"Baxes","year":"1994"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00414"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00042"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25281"},{"key":"ref37","first-page":"24261","article-title":"MLP-Mixer: An all-MLP architecture for vision","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Tolstikhin"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00353"},{"key":"ref39","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Yu"},{"key":"ref40","article-title":"TorchRadon: Fast differentiable routines for computed tomography","author":"Ronchetti","year":"2020","journal-title":"arXiv:2009.14788"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3128703"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0057-9"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3005432"},{"key":"ref46","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref47","article-title":"DeepLesion: Automated deep mining, categorization and detection of significant radiology image findings using large-scale clinical lesion annotations","author":"Yan","year":"2017","journal-title":"arXiv:1710.01766"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref49","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/42.241876"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/52\/6\/R01"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10517791\/10385220.pdf?arnumber=10385220","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:42:58Z","timestamp":1714761778000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385220\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":51,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3351722","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}