{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:10:36Z","timestamp":1783383036997,"version":"3.54.6"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2021ZD0201900"],"award-info":[{"award-number":["2021ZD0201900"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2021ZD0201904"],"award-info":[{"award-number":["2021ZD0201904"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020194","name":"Wellcome\/EPSRC Centre for Interventional and Surgical Sciences","doi-asserted-by":"publisher","award":["203145\/Z\/16\/Z"],"award-info":[{"award-number":["203145\/Z\/16\/Z"]}],"id":[{"id":"10.13039\/501100020194","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010664","name":"Horizon 2020 Future and Emerging Technologies","doi-asserted-by":"publisher","award":["863146"],"award-info":[{"award-number":["863146"]}],"id":[{"id":"10.13039\/100010664","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tmi.2023.3299206","type":"journal-article","created":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T18:36:32Z","timestamp":1690396592000},"page":"297-308","source":"Crossref","is-referenced-by-count":41,"title":["FedDP: Dual Personalization in Federated Medical Image Segmentation"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2595-265X","authenticated-orcid":false,"given":"Jiacheng","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science, School of Informatics, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3775-3877","authenticated-orcid":false,"given":"Yueming","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Wellcome\/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0980-3227","authenticated-orcid":false,"given":"Danail","family":"Stoyanov","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Wellcome\/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2096-454X","authenticated-orcid":false,"given":"Liansheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, School of Informatics, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0186-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_16"},{"key":"ref4","article-title":"The federated tumor segmentation (FeTS) challenge","author":"Pati","year":"2021","journal-title":"arXiv:2105.05874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19803-8_27"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_34"},{"key":"ref7","article-title":"Federated multi-organ segmentation with inconsistent labels","author":"Xu","year":"2022","journal-title":"arXiv:2206.07156"},{"key":"ref8","article-title":"Multi-site organ segmentation with federated partial supervision and site adaptation","author":"Liu","year":"2023","journal-title":"arXiv:2302.03911"},{"key":"ref9","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3160699"},{"key":"ref12","first-page":"5650","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yin"},{"key":"ref13","article-title":"Can you really backdoor federated learning?","author":"Sun","year":"2019","journal-title":"arXiv:1911.07963"},{"key":"ref14","article-title":"FedBN: Federated learning on non-IID features via local batch normalization","author":"Li","year":"2021","journal-title":"arXiv:2102.07623"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_33"},{"key":"ref16","first-page":"2089","article-title":"Exploiting shared representations for personalized federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Collins"},{"key":"ref17","article-title":"FedBABU: Towards enhanced representation for federated image classification","author":"Oh","year":"2021","journal-title":"arXiv:2106.06042"},{"key":"ref18","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref19","article-title":"IOP-FL: Inside-outside personalization for federated medical image segmentation","author":"Jiang","year":"2022","journal-title":"arXiv:2204.08467"},{"key":"ref20","article-title":"NnFormer: Interleaved transformer for volumetric segmentation","author":"Zhou","year":"2021","journal-title":"arXiv:2109.03201"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.26599\/air.2023.9150015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102802"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3236037"},{"key":"ref25","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00147"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00982"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01216"},{"key":"ref29","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018","journal-title":"arXiv:1806.00582"},{"key":"ref30","article-title":"Salvaging federated learning by local adaptation","author":"Yu","year":"2020","journal-title":"arXiv:2002.04758"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00993"},{"key":"ref32","first-page":"3557","article-title":"Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Fallah"},{"key":"ref33","article-title":"Local-global knowledge distillation in heterogeneous federated learning with non-IID data","author":"Yao","year":"2021","journal-title":"arXiv:2107.00051"},{"key":"ref34","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref35","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00165"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_16"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0274-8"},{"key":"ref45","article-title":"Federated evaluation of on-device personalization","author":"Wang","year":"2019","journal-title":"arXiv:1910.10252"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.02.007"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37734-2_37"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00107"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.5566\/ias.2346"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101570"},{"issue":"1","key":"ref53","first-page":"1004","article-title":"A comprehensive retinal image dataset for the assessment of glaucoma from the optic nerve head analysis","volume":"2","author":"Sivaswamy","year":"2015","journal-title":"JSM Biomed. Imag. Data Papers"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-01981-y"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10379496\/10194959.pdf?arnumber=10194959","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T01:08:26Z","timestamp":1705021706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10194959\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":55,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3299206","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}