{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T01:42:59Z","timestamp":1781487779822,"version":"3.54.1"},"reference-count":43,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education Tier 2 Grant, Singapore","doi-asserted-by":"publisher","award":["T2EP20224-0028"],"award-info":[{"award-number":["T2EP20224-0028"]}],"id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tier 1 Grant, National University of Singapore (NUS), Singapore","award":["23-0651-P0001"],"award-info":[{"award-number":["23-0651-P0001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tmi.2026.3651254","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:01:04Z","timestamp":1768255264000},"page":"2256-2268","source":"Crossref","is-referenced-by-count":1,"title":["Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9735-4350","authenticated-orcid":false,"given":"Zheng","family":"Fang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, NUS, Queenstown, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoming","family":"Qi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, NUS, Queenstown, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun-Mei","family":"Feng","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing, A*STAR, Fusionopolis, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2630-2838","authenticated-orcid":false,"given":"Jialun","family":"Pei","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3289-9714","authenticated-orcid":false,"given":"Weixin","family":"Si","sequence":"additional","affiliation":[{"name":"Shenzhen University of Advanced Technology, Faculty of Computer Science and Control Engineering, Shenzhen, 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 Biomedical Engineering and the Department of Electrical and Computer Engineering, NUS, Queenstown, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1001\/jamasurg.2019.4917"},{"key":"ref2","article-title":"2017 robotic instrument segmentation challenge","author":"Allan","year":"2019","journal-title":"arXiv:1902.06426"},{"key":"ref3","article-title":"2018 robotic scene segmentation challenge","author":"Allan","year":"2020","journal-title":"arXiv:2001.11190"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2794439"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.12700\/aph.16.8.2019.8.5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3177077"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2020.1835550"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3067928"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0186-1"},{"key":"ref12","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","volume":"54","author":"McMahan"},{"key":"ref13","first-page":"2089","article-title":"Exploiting shared representations for personalized federated learning","volume-title":"Proc. ICML","author":"Collins"},{"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":"10.1109\/CVPR52688.2022.00980"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3299206"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01139"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72117-5_66"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3263072"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3222126"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16449-1_53"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206462"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3121138"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3426953"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3266137"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103246"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1117\/12.2512518"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_49"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_65"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811873"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3056354"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28514"},{"key":"ref34","article-title":"Surgical SAM 2: Real-time segment anything in surgical video by efficient frame pruning","author":"Liu","year":"2024","journal-title":"arXiv:2408.07931"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759317"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110424"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44992-5_3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_16"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00431-6"},{"key":"ref40","article-title":"Salvaging federated learning by local adaptation","author":"Yu","year":"2022"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2025.103726"},{"key":"ref42","volume-title":"The 18 Minute Robotic Hysterectomy Surgery","year":"2013"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0274-8"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11512112\/11333902.pdf?arnumber=11333902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:40:38Z","timestamp":1778269238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11333902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":43,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2026.3651254","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}