{"id":"https://openalex.org/W3034240269","doi":"https://doi.org/10.24963/ijcai.2020/455","title":"Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation","display_name":"Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034240269","doi":"https://doi.org/10.24963/ijcai.2020/455","mag":"3034240269"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/455","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/455","pdf_url":"https://www.ijcai.org/proceedings/2020/0455.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0455.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007479861","display_name":"Danbing Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danbing Zou","raw_affiliation_strings":["School of Computer Science, Institute of Artificial Intelligence, and National Engineering Research Center for Multimedia Software, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Institute of Artificial Intelligence, and National Engineering Research Center for Multimedia Software, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066454103","display_name":"Qikui Zhu","orcid":"https://orcid.org/0000-0002-2779-4766"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qikui Zhu","raw_affiliation_strings":["School of Computer Science, Institute of Artificial Intelligence, and National Engineering Research Center for Multimedia Software, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Institute of Artificial Intelligence, and National Engineering Research Center for Multimedia Software, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054075262","display_name":"Pingkun Yan","orcid":"https://orcid.org/0000-0002-9779-2141"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pingkun Yan","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007479861"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.0776,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94930271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3291","last_page":"3298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.806206464767456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7253373265266418},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7220127582550049},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5474600791931152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5362640619277954},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5067113041877747},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4576430022716522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44716793298721313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4350237548351288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0766252875328064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806206464767456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7253373265266418},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7220127582550049},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5474600791931152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5362640619277954},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5067113041877747},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4576430022716522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44716793298721313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4350237548351288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0766252875328064},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/455","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/455","pdf_url":"https://www.ijcai.org/proceedings/2020/0455.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/455","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/455","pdf_url":"https://www.ijcai.org/proceedings/2020/0455.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1329868316","display_name":null,"funder_award_id":"041105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1664371009","display_name":null,"funder_award_id":"2019AEA170","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G284211183","display_name":null,"funder_award_id":"6182211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2870525900","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3481262523","display_name":null,"funder_award_id":"2018CFA05","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5020841472","display_name":null,"funder_award_id":"2019AEA170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6804958431","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7986140881","display_name":null,"funder_award_id":"2018CFA050","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G8676294637","display_name":null,"funder_award_id":"62041105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034240269.pdf","grobid_xml":"https://content.openalex.org/works/W3034240269.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1565327149","https://openalex.org/W1641498739","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2291593693","https://openalex.org/W2562469482","https://openalex.org/W2567079332","https://openalex.org/W2584009249","https://openalex.org/W2593414223","https://openalex.org/W2745006834","https://openalex.org/W2884292375","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962837118","https://openalex.org/W2963073614","https://openalex.org/W2963107255","https://openalex.org/W2963182609","https://openalex.org/W2963797156","https://openalex.org/W3035367255","https://openalex.org/W3100708836","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1967061043"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,181],"aims":[2],"to":[3,15,102,113,140],"alleviate":[4],"the":[5,28,41,59,64,67,99,105,114,119,125,132],"problem":[6],"of":[7,23,27,66,147],"retraining":[8],"a":[9,16],"pre-trained":[10,68],"model":[11],"when":[12],"applying":[13],"it":[14],"different":[17],"domain,":[18],"which":[19,62],"requires":[20],"large":[21],"amount":[22],"additional":[24],"training":[25],"data":[26],"target":[29,46,122],"domain.":[30],"Such":[31],"an":[32,75],"objective":[33],"is":[34,110],"usually":[35],"achieved":[36,173],"by":[37],"establishing":[38],"connections":[39],"between":[40],"source":[42,127],"domain":[43,47,60,83,100,180],"labels":[44],"and":[45,89,124,162],"data.":[48],"However,":[49],"this":[50,71,92],"imbalanced":[51],"source-to-target":[52,88],"one":[53],"way":[54],"pass":[55],"may":[56],"not":[57],"eliminate":[58],"gap,":[61],"limits":[63],"performance":[65,175],"model.":[69],"In":[70],"paper,":[72],"we":[73],"propose":[74],"innovative":[76],"Dual-Scheme":[77],"Fusion":[78],"Network":[79],"(DSFN)":[80],"for":[81],"unsupervised":[82,148],"adaptation.":[84],"By":[85],"building":[86],"both":[87,118],"target-to-source":[90],"connections,":[91],"balanced":[93],"joint":[94,134],"information":[95],"flow":[96],"helps":[97],"reduce":[98],"gap":[101],"further":[103,111],"improve":[104],"network":[106],"performance.":[107],"The":[108,136,166],"mechanism":[109],"applied":[112],"inference":[115],"stage,":[116],"where":[117],"original":[120],"input":[121],"image":[123,151],"generated":[126],"images":[128],"are":[129,138,153],"segmented":[130],"with":[131],"proposed":[133],"network.":[135],"results":[137,168],"fused":[139],"obtain":[141],"more":[142],"robust":[143],"segmentation.":[144,165],"Extensive":[145],"experiments":[146],"cross-modality":[149],"medical":[150],"segmentation":[152,161],"conducted":[154],"on":[155],"two":[156],"tasks":[157],"--":[158],"brain":[159],"tumor":[160],"cardiac":[163],"structures":[164],"experimental":[167],"show":[169],"that":[170],"our":[171],"method":[172],"significant":[174],"improvement":[176],"over":[177],"other":[178],"state-of-the-art":[179],"methods.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}