{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T12:46:25Z","timestamp":1784292385383,"version":"3.55.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"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":["62171114"],"award-info":[{"award-number":["62171114"]}],"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":["61802055"],"award-info":[{"award-number":["61802055"]}],"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":["52102400"],"award-info":[{"award-number":["52102400"]}],"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":["62106063"],"award-info":[{"award-number":["62106063"]}],"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","award":["N2019001"],"award-info":[{"award-number":["N2019001"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2023,7,1]]},"DOI":"10.1109\/tcbb.2022.3140306","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T20:29:39Z","timestamp":1641328179000},"page":"2367-2375","source":"Crossref","is-referenced-by-count":90,"title":["Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1717-5785","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[{"name":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinhua","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1970-1993","authenticated-orcid":false,"given":"Yongyong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7566-2995","authenticated-orcid":false,"given":"Wei","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-8361","authenticated-orcid":false,"given":"Junxin","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.18"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00845"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39074-7_21"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00963"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2854886"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_67"},{"key":"ref11","first-page":"280","article-title":"Knowledge-based multi-sequence MR segmentation via deep learning with a hybrid U-Net++ model","author":"ren","year":"2019","journal-title":"Proc Int Workshop Statist Atlases Comput Models Heart"},{"key":"ref33","first-page":"237","article-title":"Pseudo-3D network for multi-sequence cardiac MR segmentation","author":"liu","year":"2019","journal-title":"Proc Int Workshop Statist Atlases Comput Models Heart"},{"key":"ref10","first-page":"209","article-title":"Unsupervised multi-modal style transfer for cardiac MR segmentation","author":"chen","year":"2019","journal-title":"Proc Int Workshop Statist Atlases Comput Models Heart"},{"key":"ref32","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3088465"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000558"},{"key":"ref17","first-page":"271","article-title":"Segmentation of multimodal myocardial images using shape-transfer GAN","author":"tao","year":"2019","journal-title":"Proc Int Workshop Statist Atlases Comput Models Heart"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929258"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495333"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2876633"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"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 -Assisted Intervention"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6867877"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref21","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956210"},{"key":"ref27","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.04.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.01.005"},{"key":"ref9","first-page":"246","article-title":"SK-Unet: An improved U-net model with selective kernel for the segmentation of multi-sequence cardiac MR","author":"wang","year":"2019","journal-title":"Proc Int Workshop Statist Atlases Comput Models Heart"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2009.06.059"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3055635"},{"key":"ref6","article-title":"A fully convolutional neural network for cardiac segmentation in short-axis MRI","author":"tran","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2869576"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/10214206\/09669121.pdf?arnumber=9669121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T18:14:43Z","timestamp":1693246483000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":34,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2022.3140306","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,1]]}}}