{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:57:13Z","timestamp":1740175033942,"version":"3.37.3"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["12001180","62301532"],"award-info":[{"award-number":["12001180","62301532"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016804","name":"Natural Science Foundation of Shenzhen Municipality","doi-asserted-by":"publisher","award":["JCYJ20230807140601003"],"award-info":[{"award-number":["JCYJ20230807140601003"]}],"id":[{"id":"10.13039\/100016804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20230282"],"award-info":[{"award-number":["BK20230282"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2023YFB3811400"],"award-info":[{"award-number":["2023YFB3811400"]}]},{"DOI":"10.13039\/501100012571","name":"Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province","doi-asserted-by":"publisher","award":["2023B1212060052"],"award-info":[{"award-number":["2023B1212060052"]}],"id":[{"id":"10.13039\/501100012571","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tci.2024.3485538","type":"journal-article","created":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T17:25:56Z","timestamp":1730481956000},"page":"1533-1546","source":"Crossref","is-referenced-by-count":0,"title":["F2IFlow for CT Metal Artifact Reduction"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3135-7461","authenticated-orcid":false,"given":"Jiandong","family":"Su","sequence":"first","affiliation":[{"name":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1017-7972","authenticated-orcid":false,"given":"Ce","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Science, Sun Yat-sen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1635-5178","authenticated-orcid":false,"given":"Yinsheng","family":"Li","sequence":"additional","affiliation":[{"name":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6257-0875","authenticated-orcid":false,"given":"Dong","family":"Liang","sequence":"additional","affiliation":[{"name":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3826-1102","authenticated-orcid":false,"given":"Kun","family":"Shang","sequence":"additional","affiliation":[{"name":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/nssmic.1998.773898"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.164.2.3602406"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2608621"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.598853"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1118\/1.1358303"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2478905"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/42.538943"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1017\/S1431927699000057"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1118\/1.3533711"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/54\/21\/009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.813515"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1118\/1.3484090"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1118\/1.4794474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1118\/1.4812424"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823083"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3025064"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/12.2254091"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265136"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-018-0609-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2933425"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_15"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3127074"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3101363"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3212825"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2937221"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2024.3416398"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3310987"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102729"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2024.3351201"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01076"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/978-0-7503-2216-4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1809.00219"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref40","article-title":"Nice: Non-linear independent components estimation","volume-title":"Proc. 3rd Int. Conf. Learn. Representations Workshop","author":"Dinh","year":"2015"},{"key":"ref41","article-title":"Density estimation using real NVP","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Dinh","year":"2017"},{"key":"ref42","first-page":"10215","article-title":"Glow: Generative flow with invertible 11 convolutions","volume":"31","author":"Kingma","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.3.036501"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-021-02363-8"},{"key":"ref45","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_42"},{"key":"ref48","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref50","first-page":"91","article-title":"Faster r-CNN: Towards real-time object detection with region proposal networks","volume":"28","author":"Ren","year":"2015","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6745852\/10398876\/10741004.pdf?arnumber=10741004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T23:11:11Z","timestamp":1732662671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10741004\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/tci.2024.3485538","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"type":"electronic","value":"2333-9403"},{"type":"electronic","value":"2334-0118"},{"type":"print","value":"2573-0436"}],"subject":[],"published":{"date-parts":[[2024]]}}}