{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T03:27:42Z","timestamp":1790393262690,"version":"4.1.0"},"reference-count":45,"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":[{"name":"Institute of Information &amp; Communications Technology Planning &amp; Evaluation"},{"name":"Korea Government, MSIT"},{"name":"Artificial Intelligence Graduate School Program","award":["2019-0-00075"],"award-info":[{"award-number":["2019-0-00075"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020R1A2B5B03001980"],"award-info":[{"award-number":["NRF-2020R1A2B5B03001980"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"KAIST Key Research Institute (Interdisciplinary Research Group) Project"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2023-00262527"],"award-info":[{"award-number":["RS-2023-00262527"]}],"id":[{"id":"10.13039\/501100003725","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.2023.3347917","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T19:52:04Z","timestamp":1703793124000},"page":"43-53","source":"Crossref","is-referenced-by-count":18,"title":["Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7689-1538","authenticated-orcid":false,"given":"Gyutaek","family":"Oh","sequence":"first","affiliation":[{"name":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9200-2158","authenticated-orcid":false,"given":"Sukyoung","family":"Jung","sequence":"additional","affiliation":[{"name":"Biomedical Research Institute, Chungnam National University Hospital, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9566-7489","authenticated-orcid":false,"given":"Jeong Eun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9763-9609","authenticated-orcid":false,"given":"Jong Chul","family":"Ye","sequence":"additional","affiliation":[{"name":"Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24850"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2014.11.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/srep15408"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3892\/ol.2012.629"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.12120826"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000806"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22176"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.03.013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910370416"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<963::AID-MRM17>3.0.CO;2-L"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10664"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00247-009-1502-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.1585"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25665"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25696"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27411"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24463"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2013.6556636"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26330"},{"key":"ref20","article-title":"Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion","author":"Duffy","year":"2022","journal-title":"Med. Imag. Deep Learn."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27771"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27772"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2020.05.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2463\/mrms.mp.2018-0156"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3073381"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119411"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16446-0_35"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27783"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098570"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00270-2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3089708"},{"key":"ref34","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Song","year":"2019"},{"key":"ref35","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref36","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2020"},{"key":"ref37","article-title":"Solving inverse problems in medical imaging with score-based generative models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01209"},{"key":"ref39","first-page":"25683","article-title":"Improving diffusion models for inverse problems using manifold constraints","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chung","year":"2022"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102479"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102872"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3290149"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4149(82)90051-5"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6745852\/10398876\/10375761.pdf?arnumber=10375761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T18:27:08Z","timestamp":1725647228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10375761\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tci.2023.3347917","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2024]]}}}