{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T04:42:38Z","timestamp":1780375358189,"version":"3.54.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"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":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/jbhi.2020.3038847","type":"journal-article","created":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T23:40:06Z","timestamp":1605829206000},"page":"2665-2672","source":"Crossref","is-referenced-by-count":36,"title":["3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration"],"prefix":"10.1109","volume":"25","author":[{"given":"Adeleh","family":"Bitarafan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahdi","family":"Nikdan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1971-6231","authenticated-orcid":false,"given":"Mahdieh Soleymani","family":"Baghshah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00874"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2896961"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_67"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66185-8_29"},{"key":"ref14","article-title":"Semi-supervised multi-organ segmentation via multi-planar co-training","author":"zhou","year":"0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014578"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.009"},{"key":"ref17","article-title":"Accurate weakly supervised deep lesion segmentation on CT scans: Self-paced 3D mask generation from RECIST","author":"cai","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2621185"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00435-w"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2867261"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00964"},{"key":"ref27","article-title":"CHAOS challenge - combined (CT-MR) healthy abdominal organ segmentation","author":"kavur","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2785879"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363763"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2578680"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-020-00173-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12829"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.2512004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13147"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA49120.2020.9137328"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw252"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_65"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1049\/iet-ipr.2017.0636","article-title":"Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images","volume":"12","author":"zhou","year":"2017","journal-title":"IET Image Proc"},{"key":"ref24","article-title":"A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation","author":"zhang","year":"0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33642-4_5"},{"key":"ref26","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Interv"},{"key":"ref25","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Interv"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9497060\/09264631.pdf?arnumber=9264631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:00Z","timestamp":1652194380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":30,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3038847","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}