{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T21:00:43Z","timestamp":1774126843950,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"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":["62271405"],"award-info":[{"award-number":["62271405"]}],"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":["62171377"],"award-info":[{"award-number":["62171377"]}],"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":["82171884"],"award-info":[{"award-number":["82171884"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515012847"],"award-info":[{"award-number":["2023A1515012847"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Chongqing, China","award":["CSTB2023NSCQ-MSX0286"],"award-info":[{"award-number":["CSTB2023NSCQ-MSX0286"]}]},{"name":"Key Research and Development Program of Shaanxi Province, China","award":["2022GY-084"],"award-info":[{"award-number":["2022GY-084"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20220530161616036"],"award-info":[{"award-number":["JCYJ20220530161616036"]}]},{"name":"Shanghai Municipal Commission of Science and Technology Medical Innovation Research Special Project","award":["23Y11906900"],"award-info":[{"award-number":["23Y11906900"]}]},{"name":"Shanghai \u201cYiyuan New Star\u201d Outstanding Youth Talent"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tmi.2024.3382624","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T18:59:44Z","timestamp":1711652384000},"page":"2924-2936","source":"Crossref","is-referenced-by-count":29,"title":["Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8625-2521","authenticated-orcid":false,"given":"Hengfei","family":"Cui","sequence":"first","affiliation":[{"name":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1331-9182","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5464-9858","authenticated-orcid":false,"given":"Di","family":"Xu","sequence":"additional","affiliation":[{"name":"Media Innovation Laboratory, Huawei Cloud, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7381-5436","authenticated-orcid":false,"given":"Lian-Ming","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9273-2847","authenticated-orcid":false,"given":"Yong","family":"Xia","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08999-2_22"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00401"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2964016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3008871"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3201576"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2004.09.020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23626-6_53"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2869576"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102869"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3016144"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3090412"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_62"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00963"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3117996"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3066683"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102078"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0105"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref26","first-page":"226","article-title":"Deep generative stochastic networks trainable by backprop","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bengio"},{"key":"ref27","first-page":"3745","article-title":"Ladder variational autoencoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"S\u00f8nderby"},{"key":"ref28","first-page":"5089","article-title":"CLDA: Contrastive learning for semi-supervised domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Singh"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102694"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101537"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_22"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_27"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_21"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_26"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_31"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_32"},{"issue":"11","key":"ref38","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10619995\/10483021.pdf?arnumber=10483021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T04:55:16Z","timestamp":1722660916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10483021\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":38,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3382624","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}