{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T06:04:46Z","timestamp":1780121086350,"version":"3.54.0"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"STI2030-Major Projects","award":["2022ZD0213400"],"award-info":[{"award-number":["2022ZD0213400"]}]},{"name":"National Key R&D Program of China","award":["2023YFF1204804"],"award-info":[{"award-number":["2023YFF1204804"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271956"],"award-info":[{"award-number":["82271956"]}],"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":["62331021"],"award-info":[{"award-number":["62331021"]}],"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":["82271627"],"award-info":[{"award-number":["82271627"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Technology Council of Taiwan","award":["NSTC 114-2628-B-A49-010-MY3"],"award-info":[{"award-number":["NSTC 114-2628-B-A49-010-MY3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/jbhi.2025.3612029","type":"journal-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T17:38:08Z","timestamp":1758303488000},"page":"3146-3159","source":"Crossref","is-referenced-by-count":0,"title":["Federated Spatial Prior-Based Source-Free Domain Adaptation for White Matter Hyperintensities Segmentation"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2483-9325","authenticated-orcid":false,"given":"Yu","family":"Cheng","sequence":"first","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiang","family":"Dai","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rencheng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beini","family":"Fei","sequence":"additional","affiliation":[{"name":"Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7278-8990","authenticated-orcid":false,"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7756-3115","authenticated-orcid":false,"given":"Xinran","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7837-8420","authenticated-orcid":false,"given":"Boyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Peng","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchen","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3288-6259","authenticated-orcid":false,"given":"Chun-Yi Zac","family":"Lo","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Bioelectrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8890-4973","authenticated-orcid":false,"given":"Chengyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Pudong Hospital and Human Phenome Institute, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2053-9439","authenticated-orcid":false,"given":"He","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2019180081"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.c3666"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2013.20"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1161\/strokeaha.110.610360"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/s1474-4422(13)70060-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2905770"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.07.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.10.007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref12","article-title":"Tent: Fully test-time adaptation by entropy minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_22"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102457"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_48"},{"key":"ref16","article-title":"Bayesian inference for structured additive regression models for large-scale problems with applications to medical imaging","author":"Schmidt","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.11.032"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-015-1552-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.07.018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25784"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25695"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102184"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/technologies8020035"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3290149"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101938"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging9030069"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101552"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1117\/12.2579548"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_10"},{"key":"ref32","article-title":"Evaluation of mode collapse in generative adversarial networks","author":"Lala","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-021-00733-w"},{"key":"ref34","article-title":"Augmentation based unsupervised domain adaptation","author":"Orbes-Arteaga","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102215"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3370978"},{"key":"ref38","article-title":"Prosfda: Prompt learning based source-free domain adaptation for medical image segmentation","author":"Hu","year":"2022"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.34133\/hds.0143"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104203"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107144"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2021.3089661"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3346315"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/app12094735"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-022-01647-y"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_16"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00245"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/math11194189"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3339750"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460030303"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2022.3197180"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref54","article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2018"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.2307\/1932409.JSTOR1932409"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-017-9314-z"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116327"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/isbi48211.2021.9434034"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_47"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3406906"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-015-0068-x"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/app15052830"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24729"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21049"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3510756"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11475574\/11173932.pdf?arnumber=11173932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:01:25Z","timestamp":1775592085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11173932\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":67,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3612029","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]}}}