{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:36:02Z","timestamp":1764333362527,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1109\/bibm58861.2023.10385592","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T18:27:43Z","timestamp":1705602463000},"page":"1778-1783","source":"Crossref","is-referenced-by-count":1,"title":["DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact Reduction"],"prefix":"10.1109","author":[{"given":"Xinyun","family":"Zhong","sequence":"first","affiliation":[{"name":"Southeast University,School of Software,Nanjing,China,211189"}]},{"given":"Zhan","family":"Wu","sequence":"additional","affiliation":[{"name":"Southeast University,School of Computer Science and Engineering,Nanjing,China,210096"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Southeast University,School of Computer Science and Engineering,Nanjing,China,210096"}]},{"given":"Tianling","family":"Lyu","sequence":"additional","affiliation":[{"name":"Zhejiang Lab,Research Center for Augmented Intelligence,Hangzhou,China,311121"}]},{"given":"Wenxue","family":"Yu","sequence":"additional","affiliation":[{"name":"Southeast University,School of Computer Science and Engineering,Nanjing,China,210096"}]},{"given":"Yan","family":"Xi","sequence":"additional","affiliation":[{"name":"First-Imaging Technology,Shanghai,China,200120"}]},{"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Southeast University,School of Software,Nanjing,China,211189"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10143-018-0977-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.164.2.3602406"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1118\/1.3484090"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.3533711"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(00)80576-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2013.2275919"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823083"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.2006810"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref11","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi- supervised deep learning results","volume":"30","author":"Tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_54"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_6"},{"key":"ref15","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","volume":"31","author":"Han","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01374"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ad00fc"}],"event":{"name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2023,12,5]]},"location":"Istanbul, Turkiye","end":{"date-parts":[[2023,12,8]]}},"container-title":["2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385250\/10385251\/10385592.pdf?arnumber=10385592","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:29:19Z","timestamp":1705688959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385592\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bibm58861.2023.10385592","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]}}}