{"id":"https://openalex.org/W4402353889","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649902","title":"AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation","display_name":"AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353889","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649902"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10649902","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053592535","display_name":"Zexin Li","orcid":"https://orcid.org/0000-0001-8758-2151"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexin Li","raw_affiliation_strings":["SIGS of Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIGS of Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083590594","display_name":"Yiyang Lin","orcid":"https://orcid.org/0009-0000-9095-6089"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Lin","raw_affiliation_strings":["SIGS of Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIGS of Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019735548","display_name":"Zijie Fang","orcid":"https://orcid.org/0000-0002-6366-4379"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Fang","raw_affiliation_strings":["SIGS of Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIGS of Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669301","display_name":"Shuyan Li","orcid":"https://orcid.org/0000-0002-5107-0338"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyan Li","raw_affiliation_strings":["Tsinghua University,Department of Automation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004942213","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0002-7860-1784"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Li","raw_affiliation_strings":["SIGS of Tsinghua University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIGS of Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9979000091552734,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9979000091552734,"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/T10862","display_name":"AI in cancer detection","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9670000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7541048526763916},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6735333800315857},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6497722268104553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129155158996582},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6016669273376465},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5975592732429504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.549556314945221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48445606231689453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41378986835479736}],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7541048526763916},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6735333800315857},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6497722268104553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129155158996582},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6016669273376465},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5975592732429504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.549556314945221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48445606231689453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41378986835479736},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10649902","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1970749598","https://openalex.org/W2017321772","https://openalex.org/W2687693326","https://openalex.org/W2962793481","https://openalex.org/W2962960082","https://openalex.org/W2963073614","https://openalex.org/W2963890275","https://openalex.org/W2987403800","https://openalex.org/W2989855043","https://openalex.org/W3015450039","https://openalex.org/W3024185395","https://openalex.org/W3034600949","https://openalex.org/W3046972299","https://openalex.org/W3080929542","https://openalex.org/W3098491829","https://openalex.org/W3108316907","https://openalex.org/W3175771626","https://openalex.org/W3191728126","https://openalex.org/W3196468212","https://openalex.org/W4221159622","https://openalex.org/W4230421069","https://openalex.org/W4283813454","https://openalex.org/W4287068107","https://openalex.org/W4292089000","https://openalex.org/W4295936365","https://openalex.org/W4296604213","https://openalex.org/W4382468624","https://openalex.org/W6752378368"],"related_works":["https://openalex.org/W4288069866","https://openalex.org/W4389232935","https://openalex.org/W2888032422","https://openalex.org/W3155045749","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2905311601","https://openalex.org/W2897769091","https://openalex.org/W2936127876","https://openalex.org/W4387421677"],"abstract_inverted_index":{"Different":[0],"types":[1,25,48],"of":[2,18,26,29,46,124],"staining":[3,47,179],"highlight":[4],"different":[5,24,120],"structures":[6,81],"in":[7,11,109,119,190],"organs,":[8],"thereby":[9],"assisting":[10],"diagnosis.":[12],"However,":[13,63],"due":[14],"to":[15,40,44,50,59,69,73,85,90,143,155],"the":[16,30,35,98,191],"impossibility":[17],"repeated":[19],"staining,":[20],"we":[21,96,132],"cannot":[22],"obtain":[23,41,51],"stained":[27],"slides":[28,45],"same":[31],"tissue":[32,178],"area.":[33],"Translating":[34],"slide":[36],"that":[37,165],"is":[38,55],"easy":[39],"(e.g.,":[42,52],"H&E)":[43],"difficult":[49,84],"MT,":[53],"PAS)":[54],"a":[56,152],"promising":[57],"way":[58],"solve":[60],"this":[61,75,94],"problem.":[62],"some":[64],"regions":[65,144,158],"are":[66,83],"closely":[67],"connected":[68],"other":[70],"regions,":[71,121],"and":[72,82,128,181,187,193],"maintain":[74],"connection,":[76],"they":[77],"often":[78],"have":[79],"complex":[80],"translate,":[86],"which":[87,105,140],"may":[88],"lead":[89],"wrong":[91],"translations.":[92],"In":[93],"paper,":[95],"propose":[97],"Attention-Based":[99,135],"Varifocal":[100,153],"Generative":[101],"Adversarial":[102],"Network":[103],"(AV-GAN),":[104],"solves":[106],"multiple":[107,125,160],"problems":[108],"pathologic":[110],"image":[111,171],"translation":[112,117,147,172],"tasks,":[113],"such":[114],"as":[115],"uneven":[116],"difficulty":[118],"mutual":[122],"interference":[123],"resolution":[126],"information,":[127],"nuclear":[129],"deformation.":[130],"Specifically,":[131],"develop":[133,151],"an":[134],"Key":[136],"Region":[137],"Selection":[138],"Module,":[139],"can":[141],"attend":[142],"with":[145,174],"higher":[146],"difficulty.":[148],"We":[149],"then":[150],"Module":[154],"translate":[156],"these":[157],"at":[159],"resolutions.":[161],"Experimental":[162],"results":[163],"show":[164],"our":[166],"proposed":[167],"AV-GAN":[168],"outperforms":[169],"existing":[170],"methods":[173],"two":[175],"virtual":[176],"kidney":[177],"tasks":[180],"improves":[182],"FID":[183],"values":[184],"by":[185],"15.9":[186],"4.16":[188],"respectively":[189],"H&E-MT":[192],"H&E-PAS":[194],"tasks.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}