{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T08:31:09Z","timestamp":1778661069298,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation Program of China","doi-asserted-by":"publisher","award":["62025104"],"award-info":[{"award-number":["62025104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L242024"],"award-info":[{"award-number":["L242024"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tmi.2025.3648852","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:38:41Z","timestamp":1767033521000},"page":"2140-2155","source":"Crossref","is-referenced-by-count":0,"title":["Anatomy-Aware Sketch-Guided Latent Diffusion Model for Orbital Tumor Multi-Parametric MRI Missing Modalities Synthesis"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4290-867X","authenticated-orcid":false,"given":"Langtao","family":"Zhou","sequence":"first","affiliation":[{"name":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8590-3521","authenticated-orcid":false,"given":"Xiaoxia","family":"Qu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9808-960X","authenticated-orcid":false,"given":"Tianyu","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Medical Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaoyang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Medical Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3171-2604","authenticated-orcid":false,"given":"Hong","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4857-6490","authenticated-orcid":false,"given":"Jingfan","family":"Fan","sequence":"additional","affiliation":[{"name":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2285-0570","authenticated-orcid":false,"given":"Danni","family":"Ai","sequence":"additional","affiliation":[{"name":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7478-1394","authenticated-orcid":false,"given":"Deqiang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2191-9393","authenticated-orcid":false,"given":"Junfang","family":"Xian","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1250-6319","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.29543"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-025-11691-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.34133\/2021\/9160478"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111709"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.58530\/2023\/0158"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2895894"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00259"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00743"},{"key":"ref9","article-title":"Denoising diffusion probabilistic models","volume-title":"Adv. Neural Inf. Process. Syst","author":"Ho"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103300"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4103\/ijo.IJO_3141_20"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0121"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_18"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2901750"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101731"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103031"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3625227"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3290149"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3382043"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2975344"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101944"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3167808"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_38"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-024-11047-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2024.3516574"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2764326"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3424785"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3368664"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72114-4_47"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3069908"},{"key":"ref32","article-title":"Denoising diffusion implicit models","volume-title":"Int. Conf. Learn. Represent","author":"Song"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2025.3565183"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01389"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18576-2_12"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.256"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref39","first-page":"10041","article-title":"Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Dao"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3393"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11512112\/11316538.pdf?arnumber=11316538","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:40:53Z","timestamp":1778269253000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11316538\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":40,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3648852","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}