{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:51:14Z","timestamp":1780764674030,"version":"3.54.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2022YFA1004201"],"award-info":[{"award-number":["2022YFA1004201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62206216"],"award-info":[{"award-number":["62206216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["12125104"],"award-info":[{"award-number":["12125104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["12090021"],"award-info":[{"award-number":["12090021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U20B2075"],"award-info":[{"award-number":["U20B2075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tmi.2023.3301934","type":"journal-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T17:23:07Z","timestamp":1691169787000},"page":"3678-3689","source":"Crossref","is-referenced-by-count":40,"title":["Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3430-4761","authenticated-orcid":false,"given":"Heran","family":"Yang","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7206-0641","authenticated-orcid":false,"given":"Jian","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1719-3358","authenticated-orcid":false,"given":"Zongben","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3046444"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0137-x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00394"},{"key":"ref5","first-page":"1","article-title":"Hypernetworks","volume-title":"Proc. ICLR","author":"Ha"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-46640-4_22"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_12"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.08.009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2901750"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_70"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3011557"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2969630"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32778-1_3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_87"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2975344"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101944"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2764326"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2945521"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87234-2_42"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.10.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_54"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_32"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_50"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_52"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.09.032"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3175478"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_56"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87234-2_39"},{"key":"ref30","first-page":"48","article-title":"SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities","volume-title":"MIDL","author":"Azad"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref32","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. ICML","author":"Ganin"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00155"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1606.04797"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2046908"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1117\/12.2513089"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"ref39","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. ICLR","author":"Kingma"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78191-0_27"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10336247\/10209227.pdf?arnumber=10209227","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T18:05:20Z","timestamp":1709316320000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10209227\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":40,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3301934","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}