{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T07:09:04Z","timestamp":1779347344134,"version":"3.51.4"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,8]]},"DOI":"10.1109\/isbi61048.2026.11516004","type":"proceedings-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T19:48:46Z","timestamp":1779306526000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["LUMOS: Universal Semi-Supervised Oct Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning"],"prefix":"10.1109","author":[{"given":"Yizhou","family":"Fang","sequence":"first","affiliation":[{"name":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhong","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Lin","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoying","family":"Tang","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41569-022-00687-9"},{"issue":"2","key":"ref2","first-page":"686","article-title":"Retinal layer segmentation in oct images with boundary regression and feature polarization","volume":"43","author":"Yubo","year":"2023","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14151668"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72390-2_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2025.3557537"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00390"},{"key":"ref7","first-page":"1290","article-title":"Masked-attention mask transformer for universal image segmentation","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Bowe","year":"2022"},{"key":"ref8","first-page":"629","article-title":"Unioctseg: Towards universal oct retinal layer segmentation via hierarchical prompting and progressive consistency learning","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","author":"Jian","year":"2025"},{"key":"ref9","first-page":"601","article-title":"Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls","volume":"22","author":"Yufan","year":"2018","journal-title":"Data in Brief"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/boe.417212"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103092"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0133908"},{"key":"ref13","first-page":"135","article-title":"Dataset and evaluation algorithm design for goals challenge","volume-title":"International Workshop on Ophthalmic Medical Image Analysis.","author":"Huihui","year":"2022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.11-7640"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02675-1"},{"key":"ref16","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"Tarvainen","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","first-page":"12674","article-title":"Semi-supervised semantic segmentation with cross-consistency training","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yassine","year":"2020"},{"key":"ref18","first-page":"2517","article-title":"Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Tuan-Hung","year":"2019"}],"event":{"name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","location":"London, United Kingdom","start":{"date-parts":[[2026,4,8]]},"end":{"date-parts":[[2026,4,11]]}},"container-title":["2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11515282\/11515297\/11516004.pdf?arnumber=11516004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T06:22:39Z","timestamp":1779344559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11516004\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,8]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/isbi61048.2026.11516004","relation":{},"subject":[],"published":{"date-parts":[[2026,4,8]]}}}