{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:00:19Z","timestamp":1762408819623,"version":"build-2065373602"},"reference-count":106,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2020AAA0109500","2020AAA0109501"],"award-info":[{"award-number":["2020AAA0109500","2020AAA0109501"]}]},{"DOI":"10.13039\/501100013091","name":"Science and Technology Major Project of Guangxi","doi-asserted-by":"publisher","award":["AA22096030","AA22096032"],"award-info":[{"award-number":["AA22096030","AA22096032"]}],"id":[{"id":"10.13039\/501100013091","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":[[2025,12]]},"DOI":"10.1109\/tpami.2025.3597364","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T17:43:12Z","timestamp":1754934192000},"page":"11252-11269","source":"Crossref","is-referenced-by-count":0,"title":["Learning Generalized Medical Image Representation by Decoupled Feature Queries"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1047-4790","authenticated-orcid":false,"given":"Qi","family":"Bi","sequence":"first","affiliation":[{"name":"Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands"}]},{"given":"Jingjun","family":"Yi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7193-6242","authenticated-orcid":false,"given":"Hao","family":"Zheng","sequence":"additional","affiliation":[{"name":"Jarvis Research Center, Youtu Lab, Tencent, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4059-5902","authenticated-orcid":false,"given":"Wei","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Medicine, Yale University, New Haven, CT, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9569-269X","authenticated-orcid":false,"given":"Yawen","family":"Huang","sequence":"additional","affiliation":[{"name":"Jarvis Research Center, Youtu Lab, Tencent, Shenzhen, China"}]},{"given":"Yuexiang","family":"Li","sequence":"additional","affiliation":[{"name":"Medical AI ReSearch (MARS) Group, Guangxi Medical University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2195-2847","authenticated-orcid":false,"given":"Yefeng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Medical Artificial Intelligence Laboratory, Westlake University, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3234002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3322735"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3015224"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_45"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19803-8_25"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3045775"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20217"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01216"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00941"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3183115"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3293893"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3131245"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3161829"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3195549"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2704624"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00107"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3210133"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_46"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3371987"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102904"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43904-9_42"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i2.27839"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01089"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01141"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_31"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01133"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00846"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2948352"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01152"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00347"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_19"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01751"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43901-8_2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00366"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_1"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3399098"},{"article-title":"Rethinking Atrous convolution for semantic image segmentation","year":"2017","author":"Chen","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_48"},{"key":"ref43","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Xie"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25321"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3312587"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_6"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20098"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17066"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102530"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3215186"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01090"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2951844"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1101\/225508"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_56"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_6"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01079"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_5"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"ref61","first-page":"7313","article-title":"Domain generalization using causal matching","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mahajan"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00029"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i2.27838"},{"article-title":"Joint learning of label and environment causal independence for graph out-of-distribution generalization","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Gui","key":"ref64"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3184598"},{"article-title":"Dirichlet-based uncertainty calibration for active domain adaptation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xie","key":"ref66"},{"key":"ref67","first-page":"338","article-title":"Adversarial style augmentation for domain generalized urban-scene segmentation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhong"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01479"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i2.27840"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68107-4_19"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_29"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3358955"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20068"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_61"},{"key":"ref76","first-page":"385","article-title":"Universal style transfer via feature transforms","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.858979"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14585"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00262"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100512"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.16-19964"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3390\/data3030025"},{"year":"2019","key":"ref84","article-title":"APTOS 2019 blindness detection"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3037771"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412088"},{"article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","key":"ref87"},{"article-title":"Domain generalization with mixstyle","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhou","key":"ref88"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7003"},{"key":"ref90","first-page":"19448","article-title":"Adversarial teacher-student representation learning for domain generalization","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref91","first-page":"18347","article-title":"FishR: Invariant gradient variances for out-of-distribution generalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rame"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_4"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3023463"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2023.103956"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_29"},{"issue":"1","key":"ref96","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":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2011.5999143"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101570"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3523319"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01257"},{"key":"ref102","first-page":"9229","article-title":"Test-time training with self-supervision for generalization under distribution shifts","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sun"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101907"},{"article-title":"Fully test-time adaptation by entropy minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","key":"ref104"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72117-5_41"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2974574"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11230086\/11122336.pdf?arnumber=11122336","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T05:48:06Z","timestamp":1762408086000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11122336\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":106,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2025.3597364","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"type":"print","value":"0162-8828"},{"type":"electronic","value":"2160-9292"},{"type":"electronic","value":"1939-3539"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}