{"id":"https://openalex.org/W4390991973","doi":"https://doi.org/10.1109/bibm58861.2023.10386055","title":"Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation","display_name":"Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390991973","doi":"https://doi.org/10.1109/bibm58861.2023.10386055"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10386055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5036958965","display_name":"Zhuotong Cai","orcid":"https://orcid.org/0009-0000-3903-1638"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Zhuotong Cai","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China","Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","Department of Biomedical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031227866","display_name":"Jingmin Xin","orcid":"https://orcid.org/0000-0003-1906-2327"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingmin Xin","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848903","display_name":"Siyuan Dong","orcid":"https://orcid.org/0000-0001-7554-4350"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyuan Dong","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,New Haven,USA","Department of Electrical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076320750","display_name":"Chenyu You","orcid":"https://orcid.org/0000-0001-8365-7822"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyu You","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,New Haven,USA","Department of Electrical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013973367","display_name":"Peiwen Shi","orcid":"https://orcid.org/0000-0002-7525-6831"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiwen Shi","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008223721","display_name":"Tianyi Zeng","orcid":"https://orcid.org/0000-0002-5467-062X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyi Zeng","raw_affiliation_strings":["Yale University,Department of Radiology and Biomedical Imaging,New Haven,USA","Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Radiology and Biomedical Imaging,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013778882","display_name":"Jiazhen Zhang","orcid":"https://orcid.org/0000-0002-6905-7916"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiazhen Zhang","raw_affiliation_strings":["Yale University,Department of Biomedical Engineering,New Haven,USA","Department of Biomedical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Biomedical Engineering,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083553196","display_name":"John A. Onofrey","orcid":"https://orcid.org/0000-0002-9432-0448"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John A. Onofrey","raw_affiliation_strings":["Yale University,Department of Biomedical Engineering,New Haven,USA","Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","Department of Biomedical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Biomedical Engineering,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Institution of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,New Haven,USA","Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","Department of Biomedical Engineering, Yale University, New Haven, USA","Department of Electrical Engineering, Yale University, New Haven, USA"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,New Haven,USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5036958965"],"corresponding_institution_ids":["https://openalex.org/I32971472","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82122337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"819","last_page":"824"},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.9842000007629395,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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":0.7157204151153564},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6908003091812134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6782112121582031},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.674329936504364},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6360623836517334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5661900043487549},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5305160880088806},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231134295463562},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49764278531074524},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.47328585386276245},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43900924921035767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3747927248477936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16735988855361938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157204151153564},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6908003091812134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6782112121582031},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.674329936504364},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6360623836517334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5661900043487549},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5305160880088806},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231134295463562},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49764278531074524},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47328585386276245},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43900924921035767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3747927248477936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16735988855361938},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10386055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null},{"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":30,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W2291593693","https://openalex.org/W2412782625","https://openalex.org/W2533800772","https://openalex.org/W2913801273","https://openalex.org/W2959183777","https://openalex.org/W2963073217","https://openalex.org/W2969893028","https://openalex.org/W2995848654","https://openalex.org/W3004346631","https://openalex.org/W3006040295","https://openalex.org/W3035524453","https://openalex.org/W3081801036","https://openalex.org/W3120804725","https://openalex.org/W3124798580","https://openalex.org/W3175294391","https://openalex.org/W3195026442","https://openalex.org/W3202115483","https://openalex.org/W4225016626","https://openalex.org/W4225869843","https://openalex.org/W4295939732","https://openalex.org/W4296193058","https://openalex.org/W4296199856","https://openalex.org/W4296965464","https://openalex.org/W4312251571","https://openalex.org/W4312459164","https://openalex.org/W4315927891","https://openalex.org/W4320013936","https://openalex.org/W6633949838","https://openalex.org/W6774314701"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W4394775207","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Unsupervised":[0],"Domain":[1],"Adaptation":[2],"(UDA),":[3],"which":[4],"aligns":[5],"the":[6,11,20,30,50,75,80,91,95,110,115,140,151],"labeled":[7],"source":[8,116],"distribution":[9,32,52,129],"to":[10,73,89,108],"unlabeled":[12],"target":[13,119],"distribution,":[14],"has":[15],"shown":[16],"remarkable":[17],"achievement":[18],"in":[19,49],"medical":[21],"image":[22],"segmentation":[23,67],"task.":[24],"Previous":[25],"UDA":[26,66],"methods":[27],"unilaterally":[28],"consider":[29],"global":[31,97,127],"alignment":[33],"through":[34,68],"explicit":[35],"category-based":[36],"loss":[37],"while":[38],"good":[39],"separation":[40],"and":[41,78,94,118,125],"discrimination":[42],"of":[43],"class":[44,69,112],"are":[45],"insufficiently":[46],"explored,":[47],"resulting":[48],"sub-aligned":[51],"across":[53,99],"domains.":[54,100],"In":[55],"this":[56],"paper,":[57],"we":[58,83,102],"propose":[59],"cross-prototype":[60],"contrastive":[61,87,106],"learning":[62,88,107],"method":[63],"(CPCL)":[64],"for":[65,121],"centroid":[70,124],"alignment.":[71,130],"Specifically,":[72],"reduce":[74],"intra-class":[76],"distance":[77],"increase":[79],"inter-class":[81],"distance,":[82],"first":[84],"introduce":[85],"prototype-feature":[86],"align":[90,109],"pixel-level":[92],"features":[93],"same-class":[96],"prototype":[98],"Secondly,":[101],"further":[103],"present":[104],"prototype-prototype":[105],"same":[111],"prototypes":[113],"between":[114],"domain":[117,120,128,145],"compact":[122],"category":[123],"better":[126],"Extensive":[131],"experiments":[132],"on":[133],"two":[134],"public":[135],"cardiac":[136],"datasets":[137],"demonstrate":[138],"that":[139],"proposed":[141],"CPCL":[142],"achieves":[143],"superior":[144],"adaptation":[146],"performance":[147],"as":[148],"compared":[149],"with":[150],"state-of-the-art.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
