{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T02:45:55Z","timestamp":1784688355568,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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","award":["61836003"],"award-info":[{"award-number":["61836003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573150"],"award-info":[{"award-number":["61573150"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573152"],"award-info":[{"award-number":["61573152"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61633010"],"award-info":[{"award-number":["61633010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81771799"],"award-info":[{"award-number":["81771799"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Guangzhou, China","award":["201707010306"],"award-info":[{"award-number":["201707010306"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/tbme.2019.2906667","type":"journal-article","created":{"date-parts":[[2019,3,27]],"date-time":"2019-03-27T21:44:39Z","timestamp":1553723079000},"page":"3499-3508","source":"Crossref","is-referenced-by-count":65,"title":["Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4931-3035","authenticated-orcid":false,"given":"Jingcong","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5502-8321","authenticated-orcid":false,"given":"Zhu Liang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9365-2953","authenticated-orcid":false,"given":"Zhenghui","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4288-5591","authenticated-orcid":false,"given":"Yuanqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_19"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref33","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref31","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"ref30","first-page":"4898","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2016","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/78.157290"},{"key":"ref36","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref34","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.23143"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/11866763_1"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1109\/TMI.2013.2256922","article-title":"A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: Application to cardiac MR images","volume":"32","author":"bai","year":"2013","journal-title":"IEEE Trans Med Imag"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38899-6_21"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.07.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.01.014"},{"key":"ref16","article-title":"A simple and fully automatic right ventricle segmentation method for 4-dimensional cardiac MR images","author":"wang","year":"0","journal-title":"Proc Med Image Comput Comput -Assisted Intervention Conf"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2013.6556672"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/4233.992164"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.05.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.12.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2013.12.011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10554-009-9571-x"},{"key":"ref6","article-title":"A fully convolutional neural network for cardiac segmentation in short-axis MRI","author":"tran","year":"2016"},{"key":"ref29","first-page":"697","article-title":"Segmentation of RV in 4D cardiac MR volumes using region-merging graph cuts","author":"maier","year":"2012","journal-title":"Proc Comput Cardiol"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2169273"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.10.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.09.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.107.653584"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2012.03.022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-011-2152-0"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26631"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(86)90837-8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref23","first-page":"424","article-title":"3D U-net: Learning dense volumetric segmentation from sparse annotation","author":"cicek","year":"2016","journal-title":"Proc Med Image Comput Comput -Assisted Intervention Conf"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_48"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref25","first-page":"3036","article-title":"Combining fully convolutional and recurrent neural networks for 3D biomedical image segmentation","author":"chen","year":"2016","journal-title":"Proc Neural Inf Process Syst Conf"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/8907481\/08675466.pdf?arnumber=8675466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:08:33Z","timestamp":1657746513000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8675466\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":43,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2019.2906667","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}