{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T17:34:34Z","timestamp":1781890474174,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"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":["62076054"],"award-info":[{"award-number":["62076054"]}],"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":["62072074"],"award-info":[{"award-number":["62072074"]}],"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":["62027827"],"award-info":[{"award-number":["62027827"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Frontier Science and Technology Innovation Projects of National Key R&amp;D Program","award":["2019QY1405"],"award-info":[{"award-number":["2019QY1405"]}]},{"name":"Sichuan Science-Technology Support Plan Program","award":["2020YFSY0010"],"award-info":[{"award-number":["2020YFSY0010"]}]},{"name":"Sichuan Science-Technology Support Plan Program","award":["2019YJ0636"],"award-info":[{"award-number":["2019YJ0636"]}]},{"name":"Sichuan Science and Technology Innovation Platform and Talent Plan","award":["2020JDJQ0020"],"award-info":[{"award-number":["2020JDJQ0020"]}]},{"name":"Cloud Technology Endowed"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/jbhi.2021.3122328","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:18:55Z","timestamp":1635279535000},"page":"1570-1581","source":"Crossref","is-referenced-by-count":77,"title":["MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3406-9770","authenticated-orcid":false,"given":"Yi","family":"Ding","sequence":"first","affiliation":[{"name":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zheng","sequence":"additional","affiliation":[{"name":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Geng","sequence":"additional","affiliation":[{"name":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7857-9719","authenticated-orcid":false,"given":"Zhen","family":"Qin","sequence":"additional","affiliation":[{"name":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6745-6377","authenticated-orcid":false,"given":"Zhiguang","family":"Qin","sequence":"additional","affiliation":[{"name":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolin","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Provincial People&#x2019;s Hospital, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref38","first-page":"195","article-title":"A convolutional neural network approach to brain tumor segmentation","author":"havaei","year":"2015","journal-title":"Brain"},{"key":"ref33","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations Conf Track Proc"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref31","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"0","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.078"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2961132"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101564"},{"key":"ref34","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Med Image Comput Comput - Assist Interv Part III"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40763-5_31"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.162"},{"key":"ref11","first-page":"520","article-title":"A new 2.5 D representation for lymph node detection using random sets of deep convolutional neural network observations","author":"roth","year":"0","journal-title":"Proc Med Image Comput Comput -Assist Interv Proc Part I"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19665-7_17"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.10.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref15","article-title":"Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge","author":"bakas","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2538465"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2011.5981829"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3037187"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2619679"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-57223-y"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_40"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2958085"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2721362"},{"key":"ref8","first-page":"131","article-title":"Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI","author":"pereira","year":"2015","journal-title":"Brain"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2918096"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-70551-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2463078"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_42"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_41"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22047-5_10"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_15"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3012452"},{"key":"ref42","first-page":"3","article-title":"UNet++: A nested U-Net architecture for medical image segmentation","author":"zhou","year":"0","journal-title":"Proc Deep Learn Med Image Anal Multimodal Learn Clin Decis Support"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901219"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2536809"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2014.7043857"},{"key":"ref44","first-page":"210","article-title":"Brain tumour segmentation method based on supervoxels and sparse dictionaries","author":"serrano-rubio","year":"2018","journal-title":"Proc Int MICCAI Brainlesion Workshop"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1700193"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2926448"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2900862"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9757026\/09585643.pdf?arnumber=9585643","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T22:02:42Z","timestamp":1653948162000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9585643\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":47,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2021.3122328","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}