{"id":"https://openalex.org/W4220951300","doi":"https://doi.org/10.1117/12.2611239","title":"An efficient deep landmark detection network for PLAX EF estimation using sparse annotations","display_name":"An efficient deep landmark detection network for PLAX EF estimation using sparse annotations","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220951300","doi":"https://doi.org/10.1117/12.2611239"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611239","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009541127","display_name":"Jamie Alexis Goco","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jamie Alexis Goco","raw_affiliation_strings":["The Univ. of British Columbia (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028097570","display_name":"Mohammad H. Jafari","orcid":"https://orcid.org/0000-0002-6380-5020"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad H. Jafari","raw_affiliation_strings":["The Univ. of British Columbia (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054458871","display_name":"Christina Luong","orcid":"https://orcid.org/0000-0002-7514-6069"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I2802832906","display_name":"Vancouver General Hospital","ror":"https://ror.org/02zg69r60","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I141074466","https://openalex.org/I141074466","https://openalex.org/I2799475292","https://openalex.org/I2802832906"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christina Luong","raw_affiliation_strings":["The Univ. of British Columbia (Canada)","Vancouver General Hospital (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Vancouver General Hospital (Canada)","institution_ids":["https://openalex.org/I2802832906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054004944","display_name":"Teresa S.M. Tsang","orcid":"https://orcid.org/0000-0003-4865-7119"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I2802832906","display_name":"Vancouver General Hospital","ror":"https://ror.org/02zg69r60","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I141074466","https://openalex.org/I141074466","https://openalex.org/I2799475292","https://openalex.org/I2802832906"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Teresa Tsang","raw_affiliation_strings":["The Univ. of British Columbia (Canada)","Vancouver General Hospital (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Vancouver General Hospital (Canada)","institution_ids":["https://openalex.org/I2802832906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023095072","display_name":"Purang Abolmaesumi","orcid":"https://orcid.org/0000-0002-7259-8609"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Purang Abolmaesumi","raw_affiliation_strings":["The Univ. of British Columbia (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4914,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52626459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"24","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9998999834060669,"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":0.9998000264167786,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9994999766349792,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6194238662719727},{"id":"https://openalex.org/keywords/ventricle","display_name":"Ventricle","score":0.5929819941520691},{"id":"https://openalex.org/keywords/ejection-fraction","display_name":"Ejection fraction","score":0.5684347748756409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5078044533729553},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.47309496998786926},{"id":"https://openalex.org/keywords/parasternal-line","display_name":"Parasternal line","score":0.4618220925331116},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.381561815738678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3785109221935272},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.36334264278411865},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.08361285924911499}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194238662719727},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.5929819941520691},{"id":"https://openalex.org/C78085059","wikidata":"https://www.wikidata.org/wiki/Q641303","display_name":"Ejection fraction","level":3,"score":0.5684347748756409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5078044533729553},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.47309496998786926},{"id":"https://openalex.org/C23036609","wikidata":"https://www.wikidata.org/wiki/Q7136027","display_name":"Parasternal line","level":2,"score":0.4618220925331116},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.381561815738678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785109221935272},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36334264278411865},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.08361285924911499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611239","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","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":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1992343541","https://openalex.org/W2033292054","https://openalex.org/W2124624517","https://openalex.org/W2925857835","https://openalex.org/W3098984817","https://openalex.org/W3179720696","https://openalex.org/W3210997846","https://openalex.org/W4244955044","https://openalex.org/W6639824700","https://openalex.org/W6678456540","https://openalex.org/W6785613535","https://openalex.org/W6790091917","https://openalex.org/W6795720143","https://openalex.org/W6803325016"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W3095347221","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W1597529445"],"abstract_inverted_index":{"The":[0,166],"parasternal":[1],"long":[2],"axis":[3],"(PLAX)":[4],"is":[5,152,168,252],"a":[6,72,135,211,242],"routine":[7],"imaging":[8],"plane":[9],"used":[10,46,84],"by":[11,99,187],"clinicians":[12],"to":[13,47,62,85,95,118],"assess":[14],"the":[15,19,27,63,81,175,181,197,202],"overall":[16],"function":[17],"of":[18,56,66,75,204,218],"left":[20,32,205],"ventricle":[21,33],"during":[22],"an":[23,54],"echocardiogram.":[24],"Measurements":[25],"from":[26,71,191],"PLAX":[28,87,148,238],"view,":[29],"in":[30,121,157,174],"particular":[31],"internal":[34],"dimension":[35],"at":[36],"both":[37],"end-diastole":[38],"(LVIDd)":[39],"and":[40,51,110,145,215,227,237],"end-systole":[41],"(LVIDs),":[42],"are":[43,115],"significant":[44],"markers":[45],"identify":[48],"cardiovascular":[49],"disease":[50],"can":[52],"provide":[53],"estimation":[55],"ejection":[57],"fraction":[58],"(EF).":[59],"However,":[60],"due":[61],"user-dependent":[64],"nature":[65],"echocardiograms,":[67],"these":[68],"measurements":[69,185],"suffer":[70],"large":[73],"amount":[74],"inter-observer":[76],"variability,":[77],"which":[78,125],"greatly":[79],"affect":[80],"sensitive":[82],"formula":[83],"calculate":[86],"EF.":[88,149],"While":[89],"few":[90],"previous":[91],"works":[92],"have":[93],"attempted":[94],"reduce":[96],"this":[97,131],"variability":[98],"automating":[100],"LVID":[101,144],"measurements,":[102],"their":[103],"models":[104],"not":[105,116],"only":[106,171],"lack":[107],"reliable":[108],"accuracy":[109],"precision,":[111],"but":[112],"also":[113],"generally":[114],"suited":[117],"be":[119],"adapted":[120],"point-of-care":[122],"ultrasound":[123],"(POCUS)":[124],"has":[126],"limited":[127],"computing":[128],"resources.":[129],"In":[130],"paper,":[132],"we":[133],"propose":[134],"fully":[136],"automatic,":[137],"light-weight":[138,243],"landmark":[139,160],"detection":[140],"network":[141,244],"for":[142,194,231,255],"detecting":[143],"rapidly":[146],"estimating":[147],"Our":[150,208],"model":[151,167,199,209,251],"built":[153],"upon":[154],"recent":[155],"advances":[156],"deep":[158],"video":[159],"tracking":[161],"with":[162,245],"extremely":[163,253],"sparse":[164],"annotations.1":[165],"trained":[169],"on":[170],"two":[172],"frames":[173],"cardiac":[176],"cine":[177],"that":[178],"contain":[179],"either":[180],"LVIDd":[182,233],"or":[183],"LVIDs":[184,235],"labeled":[186],"clinicians.":[188],"Using":[189],"data":[190],"34,305":[192],"patients":[193],"our":[195,250],"experiments,":[196],"proposed":[198],"accurately":[200],"tracks":[201],"contraction":[203],"ventricular":[206],"walls.":[207],"achieves":[210],"mean":[212],"absolute":[213],"error":[214],"standard":[216],"deviation":[217],"2:65":[219],"\u00b1":[220,224,229],"2:36":[221],"mm,":[222,226],"2:77":[223],"2:58":[225],"8:45":[228],"7:43%":[230],"predicting":[232],"length,":[234,236],"EF,":[239],"respectively.":[240],"As":[241],"less":[246],"than":[247],"125,000":[248],"parameters,":[249],"accessible":[254],"POCUS":[256],"applications.":[257]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}