{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T07:57:48Z","timestamp":1793433468511,"version":"4.5.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"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":["62271149"],"award-info":[{"award-number":["62271149"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372115"],"award-info":[{"award-number":["62372115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971142"],"award-info":[{"award-number":["61971142"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62111530195"],"award-info":[{"award-number":["62111530195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Fujian Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2021J02019"],"award-info":[{"award-number":["2021J02019"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tmi.2023.3346285","type":"journal-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T14:36:29Z","timestamp":1703255789000},"page":"1640-1651","source":"Crossref","is-referenced-by-count":36,"title":["Multi-Source Domain Adaptation for Medical Image Segmentation"],"prefix":"10.1109","volume":"43","author":[{"given":"Chenhao","family":"Pei","sequence":"first","affiliation":[{"name":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuping","family":"Wu","sequence":"additional","affiliation":[{"name":"Nuffield Department of Population Health, University of Oxford, Oxford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6068-8287","authenticated-orcid":false,"given":"Mingjing","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5271-6295","authenticated-orcid":false,"given":"Lin","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6494-5554","authenticated-orcid":false,"given":"Wangbin","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Medical Imaging, Fujian Medical University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinwei","family":"Dong","sequence":"additional","affiliation":[{"name":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8602-6380","authenticated-orcid":false,"given":"Liqin","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4351-4979","authenticated-orcid":false,"given":"Xiahai","family":"Zhuang","sequence":"additional","affiliation":[{"name":"School of Data Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2869576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_29"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3016144"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102078"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924174"},{"key":"ref14","first-page":"17","article-title":"Deep learning of representations for unsupervised and transfer learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bengio"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3090412"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015989"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6997"},{"key":"ref19","first-page":"1","article-title":"Multi-source domain adaptation for semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Zhao"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929258"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_47"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2923318"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_48"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3117407"},{"key":"ref27","first-page":"1","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_28"},{"key":"ref31","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014","journal-title":"arXiv:1412.3474"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123292"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00503"},{"key":"ref34","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. NIPS","author":"Goodfellow"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553411"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2618765"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00417"},{"key":"ref40","first-page":"8559","article-title":"Adversarial multiple source domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Zhao"},{"key":"ref41","article-title":"Multi-source domain adaptation in the deep learning era: A systematic survey","author":"Zhao","year":"2020","journal-title":"arXiv:2002.12169"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00104"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01086"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3202190"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-019-8208-z"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_67"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2019.19025"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref49","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume-title":"Proc. MICCAI","author":"Olaf"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2986926"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10490289\/10371364.pdf?arnumber=10371364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:02:07Z","timestamp":1725148927000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10371364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":51,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3346285","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}