{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T12:15:45Z","timestamp":1771330545788,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100022955","name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","doi-asserted-by":"publisher","award":["GK229909299001-019"],"award-info":[{"award-number":["GK229909299001-019"]}],"id":[{"id":"10.13039\/100022955","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022957","name":"Double Thousand Plan of Jiangxi Province","doi-asserted-by":"publisher","award":["JXSQ201901075"],"award-info":[{"award-number":["JXSQ201901075"]}],"id":[{"id":"10.13039\/100022957","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP18K18044"],"award-info":[{"award-number":["JP18K18044"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP21K17736"],"award-info":[{"award-number":["JP21K17736"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2023,9,1]]},"DOI":"10.1109\/tnse.2022.3190765","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T19:39:04Z","timestamp":1657913944000},"page":"2584-2596","source":"Crossref","is-referenced-by-count":43,"title":["DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3317-6080","authenticated-orcid":false,"given":"Zhangyi","family":"Shen","sequence":"first","affiliation":[{"name":"Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3069-8337","authenticated-orcid":false,"given":"Feng","family":"Ding","sequence":"additional","affiliation":[{"name":"Nanchang University, Nanchang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7818-459X","authenticated-orcid":false,"given":"Alireza","family":"Jolfaei","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Flinders University, Adelaide, SA, Australia"}]},{"given":"Kusum","family":"Yadav","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering University of Ha'il, Ha'il, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7808-8709","authenticated-orcid":false,"given":"Sahil","family":"Vashisht","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shree Guru Gobind Singh Tricentenary University, Gurugram, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5735-2507","authenticated-orcid":false,"given":"Keping","family":"Yu","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Engineering, Hosei University, Tokyo, Japan"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2963715"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2359033"},{"key":"ref15","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref53","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2000374"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995800"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-43575-2_12"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2968521"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3120075"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3024287"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2587062"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1117\/12.2590977"},{"key":"ref48","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015"},{"key":"ref47","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","first-page":"7335","article-title":"Modeling tabular data using conditional gan","author":"xu","year":"0","journal-title":"Proc NeurIPS"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS47025.2019.9035107"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00872"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.323"},{"key":"ref49","article-title":"Applied proteogenomics organizational learning and outcomes (apollo) research network.” data from the applied proteogenomics OrganizationaL learning and outcomes lung squamous cell carcinoma [APOLLO-5-LSCC] collection [data set], 2021","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2989143"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000353"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3130311"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2020.08291"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00003"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1109\/TNSE.2020.3026637","article-title":"Covid-19 networking demand: An auction-based mechanism for automated selection of edge computing services","volume":"9","author":"abdulsalam","year":"2022","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3043262"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/217415"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3101842"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102589"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00401"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3128954"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3117263"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-019-00907-5"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0608-66"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2020.3047606"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.11.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS49503.2020.00111"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104048"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33128-3_2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s40305-019-00287-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3098422"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/info11060318"},{"key":"ref27","article-title":"Gans for medical image synthesis: An empirical study","author":"skandarani","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00303"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488902\/10256239\/09831051.pdf?arnumber=9831051","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T19:19:48Z","timestamp":1696879188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9831051\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,1]]},"references-count":53,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnse.2022.3190765","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,1]]}}}