{"id":"https://openalex.org/W3204249496","doi":"https://doi.org/10.1109/tmi.2021.3117996","title":"Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint","display_name":"Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W3204249496","doi":"https://doi.org/10.1109/tmi.2021.3117996","mag":"3204249496","pmid":"https://pubmed.ncbi.nlm.nih.gov/34606453"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3117996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3117996","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100362822","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-8195-1582"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404393","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0002-9097-7741"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"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":"Ziqi Zhang","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China","Tsinghua&#x2013","Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tsinghua&#x2013","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109297647","display_name":"Xinpeng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Xie","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710180","display_name":"Yuexiang Li","orcid":"https://orcid.org/0000-0001-8076-2619"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexiang Li","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081656092","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-5783-6859"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Tao Xu","raw_affiliation_strings":["Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","Tsinghua&#x2013"],"affiliations":[{"raw_affiliation_string":"Tsinghua&#x2013;Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua&#x2013","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621577","display_name":"Kai Ma","orcid":"https://orcid.org/0000-0003-2805-3692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ma","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Jarvis Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100362822"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":3.1007,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93149331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"41","issue":"3","first_page":"595","last_page":"607"},"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":0.9955000281333923,"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":0.9955000281333923,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9954000115394592,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7430070638656616},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.7063292860984802},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6650998592376709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65388423204422},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5728980302810669},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.567997932434082},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.534895122051239},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5342872142791748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5138431191444397},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47487732768058777},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3294677734375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19852113723754883}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7430070638656616},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.7063292860984802},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6650998592376709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65388423204422},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5728980302810669},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.567997932434082},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.534895122051239},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5342872142791748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5138431191444397},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47487732768058777},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3294677734375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19852113723754883},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2021.3117996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3117996","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34606453","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34606453","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8884956004","display_name":null,"funder_award_id":"2018YFC2000702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1565327149","https://openalex.org/W1577269164","https://openalex.org/W1686946872","https://openalex.org/W1901129140","https://openalex.org/W2021088830","https://openalex.org/W2031342017","https://openalex.org/W2099471712","https://openalex.org/W2194775991","https://openalex.org/W2291593693","https://openalex.org/W2339754110","https://openalex.org/W2502312327","https://openalex.org/W2560328367","https://openalex.org/W2566832195","https://openalex.org/W2630837129","https://openalex.org/W2770363598","https://openalex.org/W2894931878","https://openalex.org/W2939157633","https://openalex.org/W2949477454","https://openalex.org/W2959183777","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962825119","https://openalex.org/W2962837118","https://openalex.org/W2963073614","https://openalex.org/W2963182609","https://openalex.org/W2963201933","https://openalex.org/W2963444790","https://openalex.org/W2963567641","https://openalex.org/W2963797156","https://openalex.org/W2963800363","https://openalex.org/W2963958441","https://openalex.org/W2964080999","https://openalex.org/W2964184826","https://openalex.org/W2977808227","https://openalex.org/W2986831462","https://openalex.org/W2989855043","https://openalex.org/W2994929655","https://openalex.org/W2996320484","https://openalex.org/W3010262726","https://openalex.org/W3023175709","https://openalex.org/W3034441884","https://openalex.org/W3034794073","https://openalex.org/W3091011136","https://openalex.org/W3095725246","https://openalex.org/W3099097979","https://openalex.org/W3102255912","https://openalex.org/W3112437058","https://openalex.org/W3159890710","https://openalex.org/W4287907717","https://openalex.org/W6631190155","https://openalex.org/W6633949838","https://openalex.org/W6634441602","https://openalex.org/W6637108112","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6720691552","https://openalex.org/W6724804524","https://openalex.org/W6734074887","https://openalex.org/W6735204497","https://openalex.org/W6739696289","https://openalex.org/W6746282794","https://openalex.org/W6754278344","https://openalex.org/W6767141496","https://openalex.org/W6771610787","https://openalex.org/W6772015689","https://openalex.org/W6776390925"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W2939693078","https://openalex.org/W3089381707","https://openalex.org/W2783047733","https://openalex.org/W3189092450","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526"],"abstract_inverted_index":{"Medical":[0],"images":[1,48,145,164],"from":[2,6],"multicentres":[3],"often":[4],"suffer":[5],"the":[7,13,30,34,37,44,53,96,101,107,115,136,147,157,168],"domain":[8,20,73,111],"shift":[9],"problem,":[10],"which":[11,42,68],"makes":[12],"deep":[14],"learning":[15],"models":[16],"trained":[17],"on":[18,72,129],"one":[19],"usually":[21],"fail":[22,60],"to":[23,26,46,59,86,105],"generalize":[24],"well":[25],"another.":[27],"One":[28],"of":[29,117,138,170],"potential":[31],"solutions":[32],"for":[33,121],"problem":[35],"is":[36,84,127],"generative":[38],"adversarial":[39],"network":[40],"(GAN),":[41],"has":[43],"capacity":[45],"translate":[47],"between":[49],"different":[50],"domains.":[51],"Nevertheless,":[52],"existing":[54],"GAN-based":[55],"approaches":[56],"are":[57],"prone":[58],"at":[61],"preserving":[62],"image-objects":[63,88],"in":[64,143],"image-to-image":[65],"(I2I)":[66],"translation,":[67],"reduces":[69],"their":[70],"practicality":[71],"adaptation":[74],"tasks.":[75],"In":[76],"this":[77],"regard,":[78],"a":[79],"novel":[80],"GAN":[81,104],"(namely":[82],"IB-GAN)":[83],"proposed":[85,125,158],"preserve":[87],"during":[89],"cross-domain":[90],"I2I":[91],"adaptation.":[92],"Specifically,":[93],"we":[94],"integrate":[95],"information":[97,109],"bottleneck":[98],"constraint":[99],"into":[100],"typical":[102],"cycle-consistency-based":[103],"discard":[106],"superfluous":[108],"(e.g.,":[110,175],"information)":[112],"and":[113,141,146,165],"maintain":[114],"consistency":[116],"disentangled":[118],"content":[119],"features":[120],"image-object":[122],"preservation.":[123],"The":[124],"IB-GAN":[126,159],"evaluated":[128],"three":[130],"tasks-polyp":[131],"segmentation":[132,137,150,173],"using":[133,151],"colonoscopic":[134],"images,":[135],"optic":[139],"disc":[140],"cup":[142],"fundus":[144],"whole":[148],"heart":[149],"multi-modal":[152],"volumes.":[153],"We":[154],"show":[155],"that":[156],"can":[160],"generate":[161],"realistic":[162],"translated":[163],"remarkably":[166],"boost":[167],"generalization":[169],"widely":[171],"used":[172],"networks":[174],"U-Net).":[176]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
