{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T10:59:37Z","timestamp":1761562777350,"version":"3.37.3"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"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"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,13]]},"DOI":"10.1109\/isbi48211.2021.9433806","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:14:15Z","timestamp":1621973655000},"page":"1966-1970","source":"Crossref","is-referenced-by-count":15,"title":["Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning"],"prefix":"10.1109","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiancong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruixuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Shi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2995965"},{"key":"ref11","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref12","article-title":"Covid-19 image data collection","author":"cohen","year":"2020","journal-title":"arXiv 2003 11597"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00867"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_24"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11604-018-0726-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.chest.2020.04.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200075"},{"key":"ref5","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical image computing and computer-assisted intervention Springer classifier and generative"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200082"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.08.029"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30185-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3000314"}],"event":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2021,4,13]]},"location":"Nice, France","end":{"date-parts":[[2021,4,16]]}},"container-title":["2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9433749\/9433753\/09433806.pdf?arnumber=9433806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:51Z","timestamp":1652197311000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9433806\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/isbi48211.2021.9433806","relation":{},"subject":[],"published":{"date-parts":[[2021,4,13]]}}}