{"id":"https://openalex.org/W4224933332","doi":"https://doi.org/10.1109/icassp43922.2022.9746286","title":"Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation","display_name":"Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224933332","doi":"https://doi.org/10.1109/icassp43922.2022.9746286"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100369797","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0260-2182"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080304958","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-5714-8282"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076427704","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0003-1641-5713"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720970","display_name":"Yulin He","orcid":"https://orcid.org/0000-0003-1380-1088"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin He","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034435564","display_name":"Yusong Tan","orcid":"https://orcid.org/0000-0003-1233-5679"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusong Tan","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9343,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75706334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1091","last_page":"1095"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653940916061401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927167177200317},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6126399040222168},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5836189389228821},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5476682186126709},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5464810132980347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.518652617931366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5026636123657227},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.42949923872947693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3742380142211914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3613300025463104},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1458820104598999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653940916061401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927167177200317},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6126399040222168},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5836189389228821},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5476682186126709},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5464810132980347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.518652617931366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5026636123657227},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.42949923872947693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3742380142211914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3613300025463104},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1458820104598999},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/icassp43922.2022.9746286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2895281799","https://openalex.org/W2896359486","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962837118","https://openalex.org/W2963073217","https://openalex.org/W2963797156","https://openalex.org/W2985406498","https://openalex.org/W3006040295","https://openalex.org/W3024640380","https://openalex.org/W3034247804","https://openalex.org/W3089493946","https://openalex.org/W3103943044","https://openalex.org/W3177316921","https://openalex.org/W3208619311","https://openalex.org/W4205635190","https://openalex.org/W4205827455","https://openalex.org/W6675026286","https://openalex.org/W6746282794","https://openalex.org/W6786851782"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4379231730","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W3125207769","https://openalex.org/W1977900974","https://openalex.org/W3174463852","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"is":[2,90,105,119],"common":[3],"but":[4],"challenging":[5],"in":[6,16],"signal":[7],"processing":[8],"tasks":[9],"due":[10],"to":[11,29,44,69,126],"the":[12,32,41,62,82,97,108,135],"intrinsic":[13],"discrepancy,":[14],"especially":[15],"difficult-to-label":[17],"medical":[18,137],"image":[19,138],"segmentation":[20,139],"application":[21],"scenarios.":[22],"Pseudo":[23],"labeling":[24],"methods":[25,39],"are":[26],"widely":[27],"utilized":[28,91],"compensate":[30],"for":[31,74,99],"scarcity":[33],"of":[34,84],"annotation.":[35],"However,":[36],"most":[37],"existing":[38,128],"set":[40],"fixed":[42],"thresholds":[43],"select":[45],"highly-confident":[46],"predictions":[47],"as":[48,92],"pseudo":[49,85,110],"labels,":[50],"inevitably":[51],"generating":[52],"false":[53],"labels":[54,111],"with":[55],"noise.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"combine":[61],"dual-classifiers":[63,78],"consistency":[64,79],"and":[65,121,140],"predictive":[66],"category-aware":[67,88],"confidence":[68,89],"form":[70],"a":[71],"novel":[72],"regularization":[73],"pseudo-label":[75],"denoising.":[76],"The":[77,102,116],"helps":[80],"promote":[81],"robustness":[83],"labels.":[86],"Meanwhile,":[87],"adaptive":[93],"pixel-wise":[94],"weights,":[95],"avoiding":[96],"need":[98],"handcrafted":[100],"thresholds.":[101],"adapted":[103],"model":[104],"refined":[106],"by":[107],"rectified":[109],"without":[112],"source":[113],"domain":[114],"samples.":[115],"proposed":[117],"method":[118],"model-independent":[120],"thus":[122],"can":[123],"be":[124],"plug-and-play":[125],"improve":[127],"UDA":[129],"methods.":[130],"We":[131],"validated":[132],"it":[133],"on":[134],"cross-modality":[136],"obtained":[141],"more":[142],"competitive":[143],"results.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
