{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T05:25:45Z","timestamp":1772688345163,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"DOI":"10.13039\/501100015084","name":"Lung Foundation Netherlands","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015084","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["U01 HL089897"],"award-info":[{"award-number":["U01 HL089897"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["U01 HL089856"],"award-info":[{"award-number":["U01 HL089856"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tmi.2020.2995108","type":"journal-article","created":{"date-parts":[[2020,5,16]],"date-time":"2020-05-16T00:20:01Z","timestamp":1589588401000},"page":"2664-2675","source":"Crossref","is-referenced-by-count":97,"title":["Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7088-1390","authenticated-orcid":false,"given":"Weiyi","family":"Xie","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1180-3805","authenticated-orcid":false,"given":"Colin","family":"Jacobs","sequence":"additional","affiliation":[]},{"given":"Jean-Paul","family":"Charbonnier","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2028-8972","authenticated-orcid":false,"given":"Bram","family":"van Ginneken","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2489649"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04268-3_33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3109\/15412550903499522"},{"key":"ref31","article-title":"CCNet: Criss-cross attention for semantic segmentation","author":"huang","year":"2018","journal-title":"arXiv 1811 11721"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref37","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc NIPS Autodiff Workshop"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2219881"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2688377"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489677"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2019.1672210"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759492"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759212"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2858202"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101592"},{"key":"ref28","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv 1409 0473"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2006.05.003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2000.899522"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.900447"},{"key":"ref29","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1109\/TMI.2008.2010441","article-title":"A computational geometry approach to automated pulmonary fissure segmentation in CT examinations","volume":"28","author":"pu","year":"2009","journal-title":"IEEE Trans Med Imag"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1148\/rg.252045070"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.138.6.1043"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/23.819294"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2044799"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020201473"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00356"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200463"},{"key":"ref21","article-title":"Dynamic graph message passing networks","author":"zhang","year":"2019","journal-title":"arXiv 1908 06955"},{"key":"ref24","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 Intervent (MICCAI)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(20)30086-4"},{"key":"ref26","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc ICML"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52280-7_8"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9153182\/09094216.pdf?arnumber=9094216","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:59:22Z","timestamp":1651067962000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9094216\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":39,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2020.2995108","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}