{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T14:53:15Z","timestamp":1784040795596,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/EU.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/EU.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Marie Sk\u0142odowska-Curie","award":["101154248"],"award-info":[{"award-number":["101154248"]}]},{"name":"HPC resources from GENCIIDRIS","award":["2024-SafeREG"],"award-info":[{"award-number":["2024-SafeREG"]}]},{"name":"HPC resources from GENCIIDRIS","award":["2025-SafeREG"],"award-info":[{"award-number":["2025-SafeREG"]}]},{"name":"Program \u201cInvestissements d\u2019avenir\u201d","award":["ANR-10-IAIHU-06"],"award-info":[{"award-number":["ANR-10-IAIHU-06"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB032387"],"award-info":[{"award-number":["R01EB032387"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB027134"],"award-info":[{"award-number":["R01EB027134"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41EB015902"],"award-info":[{"award-number":["P41EB015902"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41EB028741"],"award-info":[{"award-number":["P41EB028741"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K25EB035166"],"award-info":[{"award-number":["K25EB035166"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tpami.2025.3616632","type":"journal-article","created":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T17:37:47Z","timestamp":1759945067000},"page":"1641-1656","source":"Crossref","is-referenced-by-count":2,"title":["Unified Cross-Modal Medical Image Synthesis With Hierarchical Mixture of Product-of-Experts"],"prefix":"10.1109","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7530-0644","authenticated-orcid":false,"given":"Reuben","family":"Dorent","sequence":"first","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nazim","family":"Haouchine","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Golby","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Frisken","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3646-9508","authenticated-orcid":false,"given":"Tina","family":"Kapur","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Wells","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Brigham and Women\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03295-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2015.2441912"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962554"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/9781119013563"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1996.10476908"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.6.520"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00040"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13121"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2581911"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3018560"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101535"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2945521"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3167808"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_87"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00259"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_54"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_23"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101862"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2764326"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2975344"},{"key":"ref23","first-page":"5580","article-title":"Multimodal\n      generative models for scalable weakly-supervised learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_9"},{"key":"ref25","first-page":"19667","article-title":"NVAE: A deep\n      hierarchical variational autoencoder","volume-title":"Proc. Int. Conf.\n      Neural Inf. Process. Syst.","author":"Vahdat"},{"key":"ref26","first-page":"324","article-title":"Hierarchical\n      variational models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ranganath"},{"key":"ref27","first-page":"6551","article-title":"BIVA: A very\n      deep hierarchy of latent variables for generative modeling","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Maal\u00f8e"},{"key":"ref28","first-page":"3745","article-title":"Ladder\n      variational autoencoders","volume-title":"Proc. Int. Conf. Neural Inf.\n      Process. Syst.","author":"S\u00f8nderby"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_43"},{"key":"ref30","article-title":"Auto-encoding\n      variational Bayes","volume-title":"Proc. Int. Conf. Learn.\n      Representations","author":"Kingma"},{"key":"ref31","article-title":"Variational mixture-of-experts autoencoders for\n      multi-modal deep generative models","volume-title":"Proc. Int. Conf. Neural\n      Inf. Process. Syst.","volume":"32","author":"Shi"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"ref33","article-title":"Generalized\n      multimodal ELBO","volume-title":"Proc. Int. Conf. Learn.\n      Representations","author":"Sutter"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_38"},{"key":"ref35","article-title":"A novel unified conditional score-based generative\n      framework for multi-modal medical image completion","author":"Meng","year":"2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3368664"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2024.3516574"},{"key":"ref38","article-title":"On memorization\n      in diffusion models","author":"Gu","year":"2023"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2009.09.002"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01045-4_21"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01560-7"},{"key":"ref42","article-title":"Identifying the best machine learning algorithms\n      for brain tumor segmentation, progression assessment, and overall survival prediction in the\n      BRATS challenge","author":"Bakas","year":"2019"},{"key":"ref43","article-title":"RESECT-SEG: Open access annotations of\n      intra-operative brain tumor ultrasound images","author":"Behboodi","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00194"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102789"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102628"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72089-5_45"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1227\/neu.0000000000002809_223"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_21"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/11345188\/11197215-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11345188\/11197215.pdf?arnumber=11197215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:01:03Z","timestamp":1768255263000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11197215\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":53,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2025.3616632","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}