{"id":"https://openalex.org/W7126070735","doi":"https://doi.org/10.1109/bibm66473.2025.11357223","title":"Direct Cardiovascular Disease Diagnosis From Multi-Modal Multi-View Ultrasound Via Unified Vision-Language Modeling","display_name":"Direct Cardiovascular Disease Diagnosis From Multi-Modal Multi-View Ultrasound Via Unified Vision-Language Modeling","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126070735","doi":"https://doi.org/10.1109/bibm66473.2025.11357223"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5123458845","display_name":"Bin Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Bin Pu","raw_affiliation_strings":["*The Hong Kong University of Science and Technology,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"*The Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124278777","display_name":"Jiewen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiewen Yang","raw_affiliation_strings":["*The Hong Kong University of Science and Technology,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"*The Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013699453","display_name":"Hangcheng Cao","orcid":"https://orcid.org/0000-0002-0957-8576"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hangcheng Cao","raw_affiliation_strings":["City University of Hong Kong,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102596737","display_name":"Xingguo Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Lv","raw_affiliation_strings":["Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003452426","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0002-3397-4042"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123077290","display_name":"Qika Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qika Lin","raw_affiliation_strings":["National University of Singapore,Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103033997","display_name":"Zhan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Gao","raw_affiliation_strings":["Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124205293","display_name":"Yifan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112110809","display_name":"Liang Chen","orcid":"https://orcid.org/0009-0005-6141-6629"},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210140813","display_name":"First Affiliated Hospital of Dalian Medical University","ror":"https://ror.org/055w74b96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140813"]},{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Chen","raw_affiliation_strings":["The First Affiliated Hospital of Dali University, Clinical Medical College of Dali University,Dali,China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Dali University, Clinical Medical College of Dali University,Dali,China","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I4210140813","https://openalex.org/I6593398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124188871","display_name":"Kenli Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5123458845"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7470064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6287","last_page":"6294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.41749998927116394,"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"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.41749998927116394,"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"}},{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.08060000091791153,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.05169999971985817,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.607200026512146},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5878000259399414},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4674000144004822},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4081000089645386},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.36579999327659607},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.33480000495910645},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.32120001316070557}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.607200026512146},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5763999819755554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012000203132629},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48159998655319214},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2986892559","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasound imaging","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C3018348675","wikidata":"https://www.wikidata.org/wiki/Q4797557","display_name":"Arterial disease","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C529618451","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasonography","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2042293234","https://openalex.org/W2073284726","https://openalex.org/W2121842052","https://openalex.org/W2316167515","https://openalex.org/W2471327176","https://openalex.org/W2533673836","https://openalex.org/W2894839648","https://openalex.org/W2906658447","https://openalex.org/W2972256375","https://openalex.org/W3013692475","https://openalex.org/W3092849554","https://openalex.org/W3113178943","https://openalex.org/W4249896096","https://openalex.org/W4249955086","https://openalex.org/W4281400187","https://openalex.org/W4321367639","https://openalex.org/W4385573131","https://openalex.org/W4390871917","https://openalex.org/W4391109864","https://openalex.org/W4393157213","https://openalex.org/W4394741028","https://openalex.org/W4396494945","https://openalex.org/W4396907535","https://openalex.org/W4402670042","https://openalex.org/W4403864680","https://openalex.org/W4403908369","https://openalex.org/W4409366889","https://openalex.org/W4411166702","https://openalex.org/W4413147363","https://openalex.org/W4413447271","https://openalex.org/W4414379910"],"related_works":[],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1,123],"diagnosis":[2,124],"via":[3],"ultrasound":[4,43,64],"screening":[5],"relies":[6],"on":[7,97],"manually":[8],"measured":[9],"metrics":[10],"and":[11,21,73,86,100,111,130,137],"the":[12],"experience":[13],"level":[14],"of":[15],"human":[16],"experts,":[17],"which":[18],"is":[19],"time-consuming":[20],"may":[22],"overlook":[23],"subtle":[24],"cross-anatomical":[25],"pathological":[26],"patterns.":[27],"Recent":[28],"vision-language":[29,118],"models":[30],"offer":[31],"end-to-end":[32,56,121],"diagnostic":[33,139],"potential":[34],"but":[35],"lack":[36],"mechanisms":[37],"to":[38],"handle":[39],"heterogeneous":[40],"multi-modal,":[41],"multiview":[42],"data":[44],"while":[45],"preserving":[46],"modality-specific":[47],"semantics.":[48],"To":[49],"fill":[50],"this":[51],"gap,":[52],"we":[53],"propose":[54],"an":[55],"framework":[57,119],"called":[58],"MMVL":[59,104],"that":[60,91],"directly":[61],"fuses":[62],"raw":[63],"sequences":[65],"from":[66],"diverse":[67],"anatomical":[68],"regions,":[69],"bypassing":[70],"intermediate":[71],"measurements,":[72],"enabling":[74],"direct":[75],"diagnosis.":[76],"We":[77],"design":[78],"lightweight":[79],"adapters":[80],"for":[81,135],"domain-specific":[82],"multi-modal":[83],"feature":[84],"fusion":[85],"refinement,":[87],"a":[88,126,132],"gating":[89],"mechanism":[90],"dynamically":[92],"reweights":[93],"modality":[94],"importance":[95],"based":[96],"global":[98],"context,":[99],"disease-aware":[101],"prompt-guided":[102],"classification.":[103],"ensures":[105],"robust":[106],"performance":[107],"across":[108],"both":[109],"common":[110],"rare":[112],"conditions.":[113],"The":[114],"proposed":[115],"multi-view,":[116],"multimodal":[117],"enables":[120],"cardiovascular":[122],"with":[125],"10.9%":[127],"accuracy":[128],"gain,":[129],"opens":[131],"new":[133],"avenue":[134],"automated":[136],"generalizable":[138],"solutions.":[140]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
