{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T04:01:22Z","timestamp":1751774482742,"version":"3.41.0"},"reference-count":59,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2020-II201336"],"award-info":[{"award-number":["RS-2020-II201336"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","award":["HI21C1161"],"award-info":[{"award-number":["HI21C1161"]}],"id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020R1F1A1073430","NRF-2021R1F1A1057818","RS-2024-00344958"],"award-info":[{"award-number":["NRF-2020R1F1A1073430","NRF-2021R1F1A1057818","RS-2024-00344958"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3583191","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T17:46:40Z","timestamp":1751046400000},"page":"113634-113647","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3370-8546","authenticated-orcid":false,"given":"Juhyeong","family":"Ki","sequence":"first","affiliation":[{"name":"Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wonjin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Environmental Science and Ecological Engineering, Korea University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bitbyeol","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1773-4230","authenticated-orcid":false,"given":"Dukju","family":"Kim","sequence":"additional","affiliation":[{"name":"Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9483-158X","authenticated-orcid":false,"given":"Seongmoon","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3049-5687","authenticated-orcid":false,"given":"Jimin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00066-005-1422-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2014.00024"},{"key":"ref3","first-page":"47","article-title":"Status of radiation treatment of prostate cancer at Stanford University","volume":"7","author":"Bagshaw","year":"1988","journal-title":"NCI Monographs"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2014.04.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4103\/0971-6203.79686"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20170863"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.clon.2017.06.008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2519205"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.spinee.2010.06.006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/47\/3\/303"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa5293"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-007-0196-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1118\/1.4816307"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/42\/1\/008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2016.07.028"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109293"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A4386"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13255"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/3\/1047"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.2.3.033503"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2939731"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2012.04.004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.164.2.3602406"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265136"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-004-2263-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0b013e3182532f17"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2608621"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01076"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2022.3171440"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13729"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0284185117751278"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_11"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106710"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823083"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3127074"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/mp.16980"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"article-title":"Hounsfield unit","year":"2019","author":"DenOtter","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1117\/1.1631315"},{"issue":"1","key":"ref40","first-page":"1","article-title":"Image segmentation by using thresholding techniques for medical images","volume":"6","author":"Senthilkumaran","year":"2016","journal-title":"Comput. Sci. Eng., Int. J."},{"key":"ref41","article-title":"Harmony-search and Otsu based system for coronavirus disease (COVID-19) detection using lung CT scan images","author":"Rajinikanth","year":"2020","journal-title":"arXiv:2004.03431"},{"year":"2021","key":"ref42","article-title":"AI-basedmetal artifact reduction andmulti-organ segmentation in computed tomography for radiotherapy"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref45","article-title":"FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics","author":"Minh Quan","year":"2016","journal-title":"arXiv:1612.05360"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-6111(99)00043-9"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00777"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.19514"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1177\/0284185117731475"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1080\/0284186X.2017.1351624"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000180"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/195"},{"key":"ref58","article-title":"Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy","author":"Nikolov","year":"2018","journal-title":"arXiv:1809.04430"},{"key":"ref59","article-title":"MONAI: An open-source framework for deep learning in healthcare","author":"Jorge Cardoso","year":"2022","journal-title":"arXiv:2211.02701"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11053852.pdf?arnumber=11053852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T04:35:02Z","timestamp":1751690102000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11053852\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3583191","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}