{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T13:49:27Z","timestamp":1776692967087,"version":"3.51.2"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,15]]},"DOI":"10.1109\/icme57554.2024.10687399","type":"proceedings-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T13:24:16Z","timestamp":1727702656000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["A Noise Robust Framework via Uncertainty Guidance for Medical Image Segmentation with Noisy Label"],"prefix":"10.1109","author":[{"given":"Zihang","family":"Huang","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology,School of Electronic Information and Communications,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukun","family":"Yang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Electronic Information and Communications,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Electronic Information and Communications,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Yang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Electronic Information and Communications,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3274789"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101693"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_70"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3000314"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3871-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00263"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_23"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759518"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00306"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00428"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3147513"},{"key":"ref13","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","volume-title":"ICML","author":"Gal"},{"key":"ref14","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"ICML 2017","author":"Guo"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3100536"},{"key":"ref16","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.7303\/SYN3193805"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_25"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01374"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_63"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3237183"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"}],"event":{"name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","location":"Niagara Falls, ON, Canada","start":{"date-parts":[[2024,7,15]]},"end":{"date-parts":[[2024,7,19]]}},"container-title":["2024 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10685847\/10687354\/10687399.pdf?arnumber=10687399","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T18:40:59Z","timestamp":1763491259000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10687399\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icme57554.2024.10687399","relation":{},"subject":[],"published":{"date-parts":[[2024,7,15]]}}}