{"id":"https://openalex.org/W4417473221","doi":"https://doi.org/10.1109/sipaim67325.2025.11283340","title":"The EchoCardiography open data base EchoUNAL: a benchmarking study for automatic classification of six echocardiographic views","display_name":"The EchoCardiography open data base EchoUNAL: a benchmarking study for automatic classification of six echocardiographic views","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4417473221","doi":"https://doi.org/10.1109/sipaim67325.2025.11283340"},"language":null,"primary_location":{"id":"doi:10.1109/sipaim67325.2025.11283340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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":null,"display_name":"Juan D. Sarmiento Avila","orcid":null},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Juan D. Sarmiento Avila","raw_affiliation_strings":["Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035654250","display_name":"Andr\u00e9s Felipe Carrera-Pinz\u00f3n","orcid":"https://orcid.org/0000-0003-0515-313X"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Andr\u00e9s F. Carrera-Pinz\u00f3n","raw_affiliation_strings":["Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Juan Camilo Hurtado","orcid":null},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Juan Camilo Hurtado","raw_affiliation_strings":["Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069420635","display_name":"H\u00e9ctor Ruiz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156478","display_name":"Hospital Universitario Nacional de Colombia","ror":"https://ror.org/0544yj280","country_code":"CO","type":"healthcare","lineage":["https://openalex.org/I4210156478"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Hector Andr\u00e9s Ruiz","raw_affiliation_strings":["Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I4210156478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120847949","display_name":"Yina Daniela Benitez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156478","display_name":"Hospital Universitario Nacional de Colombia","ror":"https://ror.org/0544yj280","country_code":"CO","type":"healthcare","lineage":["https://openalex.org/I4210156478"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Yina Daniela Benitez","raw_affiliation_strings":["Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I4210156478"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jairo Antonio Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156478","display_name":"Hospital Universitario Nacional de Colombia","ror":"https://ror.org/0544yj280","country_code":"CO","type":"healthcare","lineage":["https://openalex.org/I4210156478"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Jairo Antonio Perez","raw_affiliation_strings":["Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Hospital Universitario Nacional de Colombia,HUN,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I4210156478"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102790773","display_name":"Eduardo Romero","orcid":"https://orcid.org/0000-0003-2088-2509"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Eduardo Romero","raw_affiliation_strings":["Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,CIM@LAB,Bogot&#x00E1;,Colombia","institution_ids":["https://openalex.org/I36243813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36243813"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57723086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.5360999703407288,"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":0.5360999703407288,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.10920000076293945,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.06199999898672104,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/benchmarking","display_name":"Benchmarking","score":0.8586999773979187},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6638000011444092},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.618399977684021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47679999470710754},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.3869999945163727},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.3774000108242035},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37459999322891235},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.358599990606308}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8586999773979187},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6638000011444092},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.618399977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996000170707703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612000226974487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41260001063346863},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37929999828338623},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2660999894142151},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.2540000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim67325.2025.11283340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2124624517","https://openalex.org/W2194775991","https://openalex.org/W2894839648","https://openalex.org/W2963428668","https://openalex.org/W4307140515","https://openalex.org/W4312443924","https://openalex.org/W4390501850","https://openalex.org/W4392180776","https://openalex.org/W4402206658"],"related_works":[],"abstract_inverted_index":{"Assessment":[0],"of":[1,7,33,45,58,71,116,133],"the":[2,8,26,40,55,59,83,88,103,106,124],"cardiac":[3,22,35],"dynamics":[4],"is":[5],"part":[6],"clinical":[9],"decision-making":[10],"process.":[11],"Echocardiography,":[12],"while":[13],"a":[14,30,68,97,111],"valuable":[15],"tool,":[16],"requires":[17],"highly":[18],"specialized":[19],"personnel":[20],"and":[21,42,94],"exploration":[23,32],"protocols":[24],"like":[25],"point-of-care":[27],"ultrasound":[28],"(POCUS):":[29],"systematic":[31],"six":[34,61,84],"views.":[36],"This":[37],"work":[38],"presents":[39],"construction":[41],"public":[43],"release":[44],"an":[46,130],"original":[47],"echocardiographic":[48],"video":[49],"database,":[50],"comprising":[51],"346":[52],"videos":[53],"with":[54,129],"respective":[56],"annotations":[57],"mentioned":[60],"views":[62],"from":[63],"89":[64],"healthy":[65],"volunteers.":[66],"Additionally,":[67],"benchmark":[69],"evaluation":[70],"four":[72],"convolutional":[73],"neural":[74],"network":[75],"(CNN)":[76],"architectures":[77],"was":[78],"performed":[79],"to":[80,122,127],"classify":[81],"between":[82],"described":[85],"views,":[86],"splitting":[87],"dataset":[89],"in":[90],"60/20/20":[91],"for":[92],"training/validation":[93],"testing,":[95],"under":[96],"5-fold":[98],"cross-validation":[99],"training":[100],"approach.":[101],"On":[102],"test":[104],"set,":[105],"VGG":[107],"16":[108],"model":[109],"achieves":[110],"maximum":[112],"weighted":[113],"F1":[114,131],"score":[115,132],"0.936.":[117],"The":[118],"A5C":[119],"view":[120],"proved":[121],"be":[123],"most":[125],"challenging":[126],"classify,":[128],"0.809.":[134]},"counts_by_year":[],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-12-18T00:00:00"}
