{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:38:59Z","timestamp":1764333539765,"version":"3.40.3"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016104","name":"State Key Project of Research and Development Plan","doi-asserted-by":"publisher","award":["2022YFC2408500"],"award-info":[{"award-number":["2022YFC2408500"]}],"id":[{"id":"10.13039\/100016104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["T2225025","62401141"],"award-info":[{"award-number":["T2225025","62401141"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Programs in Jiangsu Province of China","award":["BE2021703","BE2022768"],"award-info":[{"award-number":["BE2021703","BE2022768"]}]},{"name":"Civil Space Technology Pre-Research Foundation","award":["D010101"],"award-info":[{"award-number":["D010101"]}]},{"name":"Jiangsu Province Science Foundation for Youths","award":["BK20241305"],"award-info":[{"award-number":["BK20241305"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2023M740607"],"award-info":[{"award-number":["2023M740607"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3551446","type":"journal-article","created":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T00:35:23Z","timestamp":1742603723000},"page":"1-13","source":"Crossref","is-referenced-by-count":2,"title":["PRAISE-Net: Deep Projection-Domain Data-Consistent Learning Network for CBCT Metal Artifact Reduction"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3914-0102","authenticated-orcid":false,"given":"Zhan","family":"Wu","sequence":"first","affiliation":[{"name":"Laboratory of Image Science and Technology and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6788-423X","authenticated-orcid":false,"given":"Xinyun","family":"Zhong","sequence":"additional","affiliation":[{"name":"Laboratory of Image Science and Technology and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5851-6363","authenticated-orcid":false,"given":"Tianling","family":"Lyu","sequence":"additional","affiliation":[{"name":"Research Center of Augmented Intelligence, Zhejiang Laboratory, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6143-3107","authenticated-orcid":false,"given":"Yan","family":"Xi","sequence":"additional","affiliation":[{"name":"First-Imaging Technology, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7901-5253","authenticated-orcid":false,"given":"Xu","family":"Ji","sequence":"additional","affiliation":[{"name":"Laboratory of Image Science and Technology and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7201-2092","authenticated-orcid":false,"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2233-3343","authenticated-orcid":false,"given":"Shipeng","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5852-0813","authenticated-orcid":false,"given":"Hengyong","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Massachusetts at Lowell, Lowell, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5660-6349","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14133289"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/10255842.2020.1830274"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2937221"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2329738"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2021.9400955"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2933425"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3078555"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2478905"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.928922"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/42.538943"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1118\/1.3533711"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.164.2.3602406"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1118\/1.3484090"},{"key":"ref14","article-title":"CT sinogram-consistency learning for metal-induced beam hardening correction","author":"Suk Park","year":"2017","journal-title":"arXiv:1708.00607"},{"key":"ref15","first-page":"752","article-title":"Deep learning methods to guide CT image reconstruction and reduce metal artifacts","volume":"10132","author":"Gjesteby","year":"2017","journal-title":"Proc. SPIE"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-018-0609-y"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3127074"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/NSSMIC.2010.5874266"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3025064"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.3025871"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2954722"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/1.jmi.8.5.052103"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15720"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15909"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab3036"},{"key":"ref27","article-title":"Monochromatic CT image reconstruction from current-integrating data via deep learning","author":"Cong","year":"2017","journal-title":"arXiv:1710.03784"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1118\/1.2218062"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3095419"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/mp.16245"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00916"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.129.082001"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2006.12.015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2013.2275919"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434163"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530757"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2021.9436102"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3306830"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3128703"},{"key":"ref42","first-page":"1","article-title":"Spectral CT imagedomain material decomposition via sparsity residual prior and dictionary learning","volume":"72","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10937324.pdf?arnumber=10937324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T18:56:18Z","timestamp":1743792978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10937324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3551446","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2025]]}}}