{"id":"https://openalex.org/W4285612485","doi":"https://doi.org/10.1109/tnse.2022.3190765","title":"DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems","display_name":"DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems","publication_year":2022,"publication_date":"2022-07-15","ids":{"openalex":"https://openalex.org/W4285612485","doi":"https://doi.org/10.1109/tnse.2022.3190765"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2022.3190765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3190765","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038976810","display_name":"Zhangyi Shen","orcid":"https://orcid.org/0000-0003-3317-6080"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhangyi Shen","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626866","display_name":"Feng Ding","orcid":"https://orcid.org/0009-0006-2276-189X"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ding","raw_affiliation_strings":["Nanchang University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"institutions":[{"id":"https://openalex.org/I169541294","display_name":"Flinders University","ror":"https://ror.org/01kpzv902","country_code":"AU","type":"education","lineage":["https://openalex.org/I169541294"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Jolfaei","raw_affiliation_strings":["College of Science and Engineering, Flinders University, Adelaide, SA, Australia"],"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Flinders University, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I169541294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031701396","display_name":"Kusum Yadav","orcid":"https://orcid.org/0000-0002-6658-6839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kusum Yadav","raw_affiliation_strings":["College of Computer Science and Engineering University of Ha&#x0027;il, Ha&#x0027;il, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering University of Ha&#x0027;il, Ha&#x0027;il, Saudi Arabia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047675701","display_name":"Sahil Vashisht","orcid":"https://orcid.org/0000-0001-7808-8709"},"institutions":[{"id":"https://openalex.org/I3130021832","display_name":"Shree Guru Gobind Singh Tricentenary University","ror":"https://ror.org/04kf25f32","country_code":"IN","type":"education","lineage":["https://openalex.org/I3130021832"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sahil Vashisht","raw_affiliation_strings":["Department of Computer Science and Engineering, Shree Guru Gobind Singh Tricentenary University, Gurugram, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shree Guru Gobind Singh Tricentenary University, Gurugram, India","institution_ids":["https://openalex.org/I3130021832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076994242","display_name":"Keping Yu","orcid":"https://orcid.org/0000-0001-5735-2507"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keping Yu","raw_affiliation_strings":["Graduate School of Science and Engineering, Hosei University, Tokyo, Japan","RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038976810"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":4.7979,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96252923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"5","first_page":"2584","last_page":"2596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7601557970046997},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5706642866134644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563915967941284},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5435512065887451},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5283846259117126},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4797978699207306},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47312110662460327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4728263318538666},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42557191848754883},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.42495444416999817},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4182886779308319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601557970046997},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5706642866134644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563915967941284},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5435512065887451},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5283846259117126},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4797978699207306},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47312110662460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4728263318538666},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42557191848754883},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.42495444416999817},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4182886779308319},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2022.3190765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3190765","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1865265930","display_name":null,"funder_award_id":"GK229909299001-019","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G191450489","display_name":null,"funder_award_id":"JP21K17736","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7484527221","display_name":null,"funder_award_id":"JXSQ201901075","funder_id":"https://openalex.org/F3692415409","funder_display_name":"Double Thousand Plan of Jiangxi Province"},{"id":"https://openalex.org/G757852221","display_name":null,"funder_award_id":"JP18K18044","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F3692415409","display_name":"Double Thousand Plan of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2050982421","https://openalex.org/W2083927153","https://openalex.org/W2084326765","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2488605601","https://openalex.org/W2535388113","https://openalex.org/W2601564443","https://openalex.org/W2739748921","https://openalex.org/W2768613569","https://openalex.org/W2962793481","https://openalex.org/W2962968835","https://openalex.org/W2963446712","https://openalex.org/W2963684088","https://openalex.org/W2972652743","https://openalex.org/W2984516443","https://openalex.org/W2997925955","https://openalex.org/W2998077213","https://openalex.org/W2999409265","https://openalex.org/W3000775737","https://openalex.org/W3005124029","https://openalex.org/W3012472557","https://openalex.org/W3013689826","https://openalex.org/W3019099014","https://openalex.org/W3034577585","https://openalex.org/W3035406940","https://openalex.org/W3035568327","https://openalex.org/W3040617750","https://openalex.org/W3042076285","https://openalex.org/W3081752372","https://openalex.org/W3088246894","https://openalex.org/W3092277933","https://openalex.org/W3095681026","https://openalex.org/W3098598717","https://openalex.org/W3112632687","https://openalex.org/W3116036704","https://openalex.org/W3126501190","https://openalex.org/W3136119572","https://openalex.org/W3185067909","https://openalex.org/W3186745756","https://openalex.org/W3189313199","https://openalex.org/W3196927126","https://openalex.org/W3201839864","https://openalex.org/W3202767819","https://openalex.org/W3208565045","https://openalex.org/W3215010342","https://openalex.org/W3215141990","https://openalex.org/W4287182906","https://openalex.org/W4288296172","https://openalex.org/W4320013936","https://openalex.org/W6685352114","https://openalex.org/W6741832134","https://openalex.org/W6765451912","https://openalex.org/W6795056587"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"The":[0,16],"development":[1],"of":[2,8,102,164,172],"deep":[3],"learning":[4],"enables":[5],"the":[6,24,56,59,70,100,118,130,162,190],"production":[7],"new":[9],"images":[10,61,141,150,187],"via":[11],"generative":[12],"adversarial":[13,123],"networks":[14],"(GANs).":[15],"GANs":[17,138,173],"have":[18],"now":[19],"been":[20],"widely":[21],"applied":[22],"in":[23,40,90,125],"industry":[25],"as":[26,28,84],"well":[27],"academic":[29],"research":[30],"that":[31,180],"brought":[32],"tremendous":[33],"progress":[34],"to":[35,139,184],"our":[36],"community.":[37],"Many":[38],"researchers":[39],"medical":[41,49,74,91,149],"imaging":[42],"also":[43,63],"introduced":[44],"this":[45,126],"novel":[46],"technology":[47],"for":[48,108,137,154,174],"image":[50,175],"reconstruction,":[51],"segmentation,":[52],"synthesis,":[53],"etc.":[54],"On":[55],"other":[57],"hand,":[58],"GAN-generated":[60,186],"may":[62,86],"suffer":[64],"from":[65],"exhibiting":[66],"unique":[67],"textures,":[68],"namely":[69],"checkerboard":[71,103,119,144,191],"artifacts.":[72,145,192],"For":[73],"diagnosis":[75],"and":[76,95,110],"healthcare,":[77],"such":[78],"artifacts":[79,104],"could":[80,105,147],"bring":[81],"negative":[82],"impacts":[83],"they":[85],"distort":[87],"information":[88],"collected":[89],"images.":[92],"Improper":[93],"treatment":[94],"rehabilitation":[96],"plans":[97],"based":[98],"on":[99,129],"disinformation":[101],"be":[106],"harmful":[107],"patients":[109],"healthcare":[111,155],"cyber":[112,156],"physical":[113,157],"systems.":[114,158],"Thus,":[115],"we":[116,133,178],"investigate":[117],"artifact":[120],"synthesized":[121],"during":[122],"training":[124],"paper.":[127],"Based":[128],"theoretical":[131],"analysis,":[132],"propose":[134],"a":[135,170],"method":[136,166],"generate":[140],"without":[142],"producing":[143],"It":[146],"protect":[148],"preserving":[151],"high":[152],"integrity":[153],"Our":[159],"experiments":[160],"justify":[161],"efficiency":[163],"proposed":[165],"when":[167],"associating":[168],"with":[169],"variety":[171],"synthesis.":[176],"Also,":[177],"prove":[179],"it":[181],"is":[182],"feasible":[183],"detect":[185],"by":[188],"tracing":[189]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
