{"id":"https://openalex.org/W2170192369","doi":"https://doi.org/10.1109/cvprw.2009.5204054","title":"Automatic estimation of left ventricular dysfunction from echocardiogram videos","display_name":"Automatic estimation of left ventricular dysfunction from echocardiogram videos","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2170192369","doi":"https://doi.org/10.1109/cvprw.2009.5204054","mag":"2170192369"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204054","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5020179679","display_name":"David Beymer","orcid":"https://orcid.org/0000-0002-9491-4967"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Beymer","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101757788","display_name":"Arnon Amir","orcid":"https://orcid.org/0009-0000-6814-165X"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arnon Amir","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455747","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-8296-8039"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050363071","display_name":"Scott Adelman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125849","display_name":"Kaiser Permanente San Rafael Medical Center","ror":"https://ror.org/0299ptp31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343052199","https://openalex.org/I4210125849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Adelman","raw_affiliation_strings":["Kaiser Permanente, San Rafael, CA, USA"],"affiliations":[{"raw_affiliation_string":"Kaiser Permanente, San Rafael, CA, USA","institution_ids":["https://openalex.org/I4210125849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020179679"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":0.6176,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74309724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"164","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996399998664856,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9779000282287598,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9754999876022339,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7236727476119995},{"id":"https://openalex.org/keywords/ejection-fraction","display_name":"Ejection fraction","score":0.6422010660171509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588539719581604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623372793197632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5413614511489868},{"id":"https://openalex.org/keywords/cardiac-cycle","display_name":"Cardiac cycle","score":0.537630558013916},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.4469538927078247},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3599088191986084},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2652166485786438},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.1411413550376892}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7236727476119995},{"id":"https://openalex.org/C78085059","wikidata":"https://www.wikidata.org/wiki/Q641303","display_name":"Ejection fraction","level":3,"score":0.6422010660171509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588539719581604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623372793197632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5413614511489868},{"id":"https://openalex.org/C99398487","wikidata":"https://www.wikidata.org/wiki/Q257319","display_name":"Cardiac cycle","level":2,"score":0.537630558013916},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4469538927078247},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3599088191986084},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2652166485786438},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.1411413550376892}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204054","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1533326991","https://openalex.org/W1988084237","https://openalex.org/W1996431824","https://openalex.org/W2027759453","https://openalex.org/W2030418251","https://openalex.org/W2038952578","https://openalex.org/W2052875621","https://openalex.org/W2072790946","https://openalex.org/W2075664557","https://openalex.org/W2107501191","https://openalex.org/W2122845175","https://openalex.org/W2133278828","https://openalex.org/W2138583139","https://openalex.org/W2144706388","https://openalex.org/W2148970899","https://openalex.org/W2167825066","https://openalex.org/W2169736846","https://openalex.org/W6631713695"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4382048704"],"abstract_inverted_index":{"Echocardiography":[0],"is":[1,37],"often":[2],"used":[3],"to":[4,9,16,60],"diagnose":[5],"cardiac":[6,108],"diseases":[7],"related":[8],"regional":[10],"and":[11,28,30,72,98],"valvular":[12],"motion":[13],"abnormalities.":[14],"Due":[15],"the":[17,21,24,31,34,42,74,112,118],"low":[18],"resolution":[19],"of":[20,26,33,44,107,114,120],"imaging":[22],"modality,":[23],"choice":[25],"viewpoint":[27],"mode,":[29],"experience":[32],"sonographers,":[35],"there":[36],"a":[38,79,104],"large":[39,105],"variance":[40],"in":[41,92],"estimation":[43],"important":[45],"diagnostic":[46,62],"measurements":[47,63],"such":[48],"as":[49],"ejection":[50],"fraction.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,70],"develop":[56],"an":[57],"automatic":[58],"algorithm":[59],"estimate":[61],"from":[64],"raw":[65],"echocardiogram":[66],"video":[67,93],"sequences.":[68],"Specifically,":[69],"locate":[71],"track":[73],"left":[75,121],"ventricular":[76,90,122],"region":[77],"over":[78],"heart":[80],"cycle":[81],"using":[82],"active":[83],"shape":[84],"models.":[85],"We":[86],"also":[87],"present":[88],"efficient":[89],"localization":[91],"sequences":[94],"by":[95],"automatically":[96],"detecting":[97],"propagating":[99],"echocardiographer":[100],"annotations.":[101],"Results":[102],"on":[103],"database":[106],"echo":[109],"videos":[110],"demonstrate":[111],"use":[113],"our":[115],"method":[116],"for":[117],"prediction":[119],"dysfunction.":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}