乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T11:45:48Z","timestamp":1725795948213},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506148","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T17:08:41Z","timestamp":1629738521000},"page":"61-65","source":"Crossref","is-referenced-by-count":4,"title":["Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery\/Vein Classification"],"prefix":"10.1109","author":[{"given":"Chenxin","family":"Li","sequence":"first","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]},{"given":"Yunlong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]},{"given":"Zhehan","family":"Liang","sequence":"additional","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]},{"given":"Wenao","family":"Ma","sequence":"additional","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]},{"given":"Yue","family":"Huang","sequence":"additional","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]},{"given":"Xinghao","family":"Ding","sequence":"additional","affiliation":[{"name":"Xiamen University,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Minister of Education,Xiamen,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.223"},{"key":"ref11","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"arXiv preprint arXiv 1610 02984","article-title":"Temporal ensembling for semi-supervised learning","year":"2016","author":"laine","key":"ref12"},{"journal-title":"arXive-prints p arXiv 1906 01916","article-title":"Semi-supervised semantic segmentation needs strong, high-dimensional perturbations","year":"2019","author":"french","key":"ref13"},{"journal-title":"arXiv preprint arXiv 1710 09412","article-title":"mixup: Beyond empirical risk minimization","year":"2017","author":"zhang","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40763-5_54"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2012.0455"},{"key":"ref17","first-page":"65","article-title":"Towards a glaucoma risk index based on simulated hemodynamics from fundus images","author":"ignacio","year":"2018","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2159619"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_85"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1007\/978-3-319-93000-8_71","article-title":"Deep convolutional artery\/vein classification of retinal vessels","author":"meyer","year":"2018","journal-title":"Proceedings of the International Conference on Image Analysis and Recognition"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1007\/978-3-319-59050-9_47","article-title":"Unsupervised domain adaptation in brain lesion segmentation with adversarial networks","author":"kamnitsas","year":"2017","journal-title":"International Conference on Information Processing in Medical Imaging"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759380"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.03.026"},{"journal-title":"arXiv preprint arXiv 1812 11720","article-title":"Pnp-adanet: Plug-and-play adversarial domain adaptation network with a benchmark at cross-modality cardiac segmentation","year":"2018","author":"dou","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2926492"},{"key":"ref9","first-page":"521","article-title":"Cfea: Collaborative feature ensembling adaptation for domain adaptation in unsupervised optic disc and cup segmentation","author":"liu","year":"2019","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.01.007"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506148.pdf?arnumber=9506148","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T18:51:32Z","timestamp":1670352692000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506148\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506148","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}