{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T07:22:00Z","timestamp":1771053720382,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korea Government","award":["2019R1A2C2009480"],"award-info":[{"award-number":["2019R1A2C2009480"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/jbhi.2020.3042523","type":"journal-article","created":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T20:33:15Z","timestamp":1607113995000},"page":"441-452","source":"Crossref","is-referenced-by-count":155,"title":["COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7369-7123","authenticated-orcid":false,"given":"Yifan","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6315-802X","authenticated-orcid":false,"given":"Han","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murray","family":"Loew","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8744-4514","authenticated-orcid":false,"given":"Hanseok","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Deep learning models for Covid-19 infected area segmentation in CT images","author":"voulodimos","year":"0","journal-title":"medRxiv"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2995108"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2992546"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00878"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref30","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"0","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref37","article-title":"An automatic Covid-19 CT segmentation based on u-net with attention mechanism","author":"zhou","year":"0","journal-title":"arXiv 2004 06673"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103795"},{"key":"ref34","article-title":"Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of Covid-19 pneumonia using computed tomography","author":"zhang","year":"0","journal-title":"Cell"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00833"},{"key":"ref29","first-page":"465","article-title":"Toward multimodal image-to-image translation","author":"zhu","year":"0","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref2","article-title":"Johns hopkins coronavirus resource center","year":"0"},{"key":"ref1","article-title":"Coronavirus disease (Covid-19) pandemic","year":"0"},{"key":"ref20","article-title":"Video-to-video synthesis","author":"wang","year":"0","journal-title":"arXiv 1808 06601"},{"key":"ref22","article-title":"Conditional generative adversarial nets","author":"mirza","year":"0","journal-title":"arXiv 1411 1784"},{"key":"ref21","article-title":"Few-shot video-to-video synthesis","author":"wang","year":"0","journal-title":"arXiv 1910 12713"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00132"},{"key":"ref23","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier GANs","author":"odena","year":"0","journal-title":"Proc 34th Int Conf Mach Learn -Vol 70"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"},{"key":"ref25","article-title":"Which training methods for GANs do actually converge?","author":"mescheder","year":"0","journal-title":"arXiv 1801 04406"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200230"},{"key":"ref51","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"0","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref55","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2005.1616166"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.579"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01087"},{"key":"ref11","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Adv in Neural Info Proc Syst"},{"key":"ref40","article-title":"Residual attention u-net for automated multi-class segmentation of Covid-19 chest CT images","author":"chen","year":"0","journal-title":"arXiv 2004 05645"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00515"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00660"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00282"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00551"},{"key":"ref19","first-page":"406","article-title":"Pose guided person image generation","author":"ma","year":"0","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref4","article-title":"Interim clinical guidance for management of patients with confirmed Coronavirus disease (Covid-19)","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200432"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200642"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00653"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00872"},{"key":"ref49","article-title":"Covid-19 CT segmentation dataset","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00215"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab5fff"},{"key":"ref45","article-title":"Evaluation of CT image synthesis methods: From atlas-based registration to deep learning","author":"lauritzen","year":"0","journal-title":"arXiv 1906 04467"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref47","article-title":"3D tomographic pattern synthesis for enhancing the quantification of Covid-19","author":"liu","year":"0","journal-title":"arXiv 2005 01903"},{"key":"ref42","article-title":"Deep learning-based detection for Covid-19 from chest CT using weak label","author":"zheng","year":"0","journal-title":"medRxiv"},{"key":"ref41","article-title":"INF-net: Automatic Covid-19 lung infection segmentation from CT images","author":"fan","year":"0","journal-title":"IEEE Trans Med Imag"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005510"},{"key":"ref43","article-title":"Coronavirus detection and analysis on chest CT with deep learning","author":"gozes","year":"0","journal-title":"arXiv 2004 02640"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9348958\/09281375.pdf?arnumber=9281375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:01Z","timestamp":1652194381000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9281375\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":55,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3042523","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}