{"id":"https://openalex.org/W4406262218","doi":"https://doi.org/10.1109/bibm62325.2024.10822428","title":"mvEchoSeg: One-shot In-context Learning for Multi-view Echocardiography Segmentation","display_name":"mvEchoSeg: One-shot In-context Learning for Multi-view Echocardiography Segmentation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406262218","doi":"https://doi.org/10.1109/bibm62325.2024.10822428"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5102021883","display_name":"Yuting Guo","orcid":"https://orcid.org/0000-0003-0220-9599"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Guo","raw_affiliation_strings":["Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037392372","display_name":"Ya Duan","orcid":"https://orcid.org/0009-0008-7274-390X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Duan","raw_affiliation_strings":["University of Chinese Academy of Sciences,State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences,Shenyang,China,110016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences,Shenyang,China,110016","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016074700","display_name":"Wenfeng Song","orcid":"https://orcid.org/0000-0003-0828-8718"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Song","raw_affiliation_strings":["Beijing Information Science and Technology University,School of Computer Science,Beijing,China,100192"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,School of Computer Science,Beijing,China,100192","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419518","display_name":"Nannan Li","orcid":"https://orcid.org/0000-0001-5563-3735"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Li","raw_affiliation_strings":["Dalian Maritime University,School of Information Science and Technology,Dalian,China,116000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,School of Information Science and Technology,Dalian,China,116000","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068622526","display_name":"Aili Li","orcid":"https://orcid.org/0000-0001-9004-192X"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aili Li","raw_affiliation_strings":["China-Japan Friendship Hospital,Beijing,China,100029"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China-Japan Friendship Hospital,Beijing,China,100029","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424064","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0001-8316-5289"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41554464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7005","last_page":"7012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9125000238418579,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9125000238418579,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9088000059127808,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.6916765570640564},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6258805990219116},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6098380088806152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518300473690033},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5134878754615784},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4667520821094513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4078195095062256},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11718007922172546},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11421763896942139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916765570640564},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6258805990219116},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6098380088806152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518300473690033},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5134878754615784},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4667520821094513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4078195095062256},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11718007922172546},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11421763896942139},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2980095613","https://openalex.org/W3036107862","https://openalex.org/W3094502228","https://openalex.org/W3214614989","https://openalex.org/W4285986278","https://openalex.org/W4311604295","https://openalex.org/W4312193499","https://openalex.org/W4313175608","https://openalex.org/W4379209251","https://openalex.org/W4382468590","https://openalex.org/W4385805017","https://openalex.org/W4386076397","https://openalex.org/W4386782138","https://openalex.org/W4387211162","https://openalex.org/W4387211254","https://openalex.org/W4387211574","https://openalex.org/W4387640641","https://openalex.org/W4389990695","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4402727051","https://openalex.org/W6791353385","https://openalex.org/W6796581206","https://openalex.org/W6852694211","https://openalex.org/W6855838334"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Echocardiography":[0],"is":[1,207],"the":[2,26,50,105,109,113,153,156,191,196,208],"clinical":[3],"standard":[4],"for":[5,41,53,80,91,118,215],"evaluation":[6],"of":[7,30,35,59,67,108,123,137,142,155,186,211],"cardiac":[8],"morphology,":[9],"and":[10,12,28,111,125,149,221],"function,":[11],"providing":[13],"hemodynamic":[14],"parameters":[15],"in":[16,190],"patients":[17],"with":[18,120,162,174],"known":[19],"or":[20],"suspected":[21],"heart":[22],"disease.":[23],"Due":[24],"to":[25,103,177,195],"diversity":[27],"complexity":[29],"diagnostic":[31],"tasks,":[32],"comprehensive":[33],"interpretation":[34],"echocardiography":[36,54,61,82,143,171,217],"often":[37],"requires":[38,63,86],"multi-view":[39,60,81,170,216],"imaging":[40],"integrated":[42],"metric":[43],"analysis.":[44],"Deep":[45],"learning":[46,77],"methods":[47],"have":[48],"become":[49],"mainstream":[51],"approach":[52],"segmentation.":[55,83,218],"However,":[56],"achieving":[57,159],"segmentation":[58,144,201],"still":[62],"a":[64,74,97,131,139,169,212],"substantial":[65],"amount":[66],"annotation.":[68],"To":[69,203],"remedy":[70],"this,":[71],"we":[72,95,129,167],"propose":[73,96],"one-shot":[75,213],"in-context":[76],"network":[78,85],"mvEchoSeg":[79],"This":[84],"only":[87],"one":[88],"annotated":[89],"image":[90,110,200],"each":[92],"view.":[93],"Specifically,":[94],"Task":[98],"Prompt":[99],"Identifier":[100],"(TPI)":[101],"module":[102],"identify":[104],"task":[106,116],"type":[107],"allocate":[112],"most":[114],"precise":[115],"prompt":[117],"it,":[119],"minimal":[121,163],"adaptation":[122],"CLIP":[124],"few-shot":[126],"strategies.":[127],"Additionally,":[128],"leverage":[130],"unified":[132],"In-Context":[133],"Model":[134],"(ICM)":[135],"capable":[136],"performing":[138],"diverse":[140],"set":[141],"tasks":[145],"automatically.":[146],"Using":[147],"fine-tuning":[148],"low-rank":[150],"adapters":[151],"improved":[152],"performance":[154],"pre-trained":[157],"model,":[158],"significant":[160],"results":[161,182],"training":[164],"cost.":[165],"Furthermore,":[166],"collect":[168],"dataset":[172],"(MVECD)":[173],"8":[175],"views":[176],"evaluate":[178],"our":[179,204],"method.":[180],"The":[181],"show":[183],"an":[184],"improvement":[185],"more":[187],"than":[188],"10%":[189],"DICE":[192],"score":[193],"compared":[194],"SOTA":[197],"foundational":[198],"medical":[199],"models.":[202],"knowledge,":[205],"this":[206],"first":[209],"exploration":[210],"model":[214],"Our":[219],"codes":[220],"models":[222],"are":[223],"available":[224],"at":[225],"https://github.com/stellating/mvEchoSeg.":[226]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
