{"id":"https://openalex.org/W4312621509","doi":"https://doi.org/10.1109/tim.2022.3229704","title":"VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos","display_name":"VideoCAD: An Uncertainty-Driven Neural Network for Coronary Artery Disease Screening From Facial Videos","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4312621509","doi":"https://doi.org/10.1109/tim.2022.3229704"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3229704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3229704","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5003155514","display_name":"Xuenan Liu","orcid":"https://orcid.org/0000-0002-6804-964X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuenan Liu","raw_affiliation_strings":["School of Computer and Information Engineering and the Anhui Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6804-964X","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Anhui Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108841924","display_name":"Xuezhi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhi Yang","raw_affiliation_strings":["School of Software and the Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1653-3744","affiliations":[{"raw_affiliation_string":"School of Software and the Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082889047","display_name":"Rencheng Song","orcid":"https://orcid.org/0000-0001-7760-7562"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rencheng Song","raw_affiliation_strings":["School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7760-7562","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032803928","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-8562-9294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8562-9294","affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101472506","display_name":"Longwei Li","orcid":"https://orcid.org/0000-0002-0806-3597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longwei Li","raw_affiliation_strings":["Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0806-3597","affiliations":[{"raw_affiliation_string":"Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003155514"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.1446,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.75413535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9923999905586243,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9914000034332275,"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/cad","display_name":"CAD","score":0.8917279243469238},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.6716775298118591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555221438407898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010910034179688},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.49395185708999634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47125864028930664},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4326571822166443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.408541738986969},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.22793525457382202},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20641091465950012},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.12118232250213623},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11666059494018555}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.8917279243469238},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.6716775298118591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555221438407898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010910034179688},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.49395185708999634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47125864028930664},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4326571822166443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.408541738986969},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.22793525457382202},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20641091465950012},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.12118232250213623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11666059494018555},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3229704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3229704","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1584445183","display_name":null,"funder_award_id":"PA2021GDSK0071","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6621903281","display_name":null,"funder_award_id":"201903c08020010","funder_id":"https://openalex.org/F4320336601","funder_display_name":"Major Science and Technology Projects in Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336601","display_name":"Major Science and Technology Projects in Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1998391547","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2031564429","https://openalex.org/W2049977108","https://openalex.org/W2069692225","https://openalex.org/W2101866605","https://openalex.org/W2107165713","https://openalex.org/W2128585298","https://openalex.org/W2135195411","https://openalex.org/W2198986894","https://openalex.org/W2292374408","https://openalex.org/W2424269919","https://openalex.org/W2498215202","https://openalex.org/W2520509592","https://openalex.org/W2551615700","https://openalex.org/W2887976372","https://openalex.org/W2892274518","https://openalex.org/W2899736836","https://openalex.org/W2902449706","https://openalex.org/W2963677766","https://openalex.org/W2982196965","https://openalex.org/W2986906199","https://openalex.org/W3001764054","https://openalex.org/W3011371150","https://openalex.org/W3014779718","https://openalex.org/W3037355691","https://openalex.org/W3040777582","https://openalex.org/W3048249223","https://openalex.org/W3080301222","https://openalex.org/W3081830213","https://openalex.org/W3094168259","https://openalex.org/W3120068059","https://openalex.org/W3137020077","https://openalex.org/W3208507240","https://openalex.org/W4210268666","https://openalex.org/W4229013685","https://openalex.org/W4297816351","https://openalex.org/W4312322459","https://openalex.org/W6730042731","https://openalex.org/W6743449970","https://openalex.org/W6748865747"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W4287707480","https://openalex.org/W4230876021","https://openalex.org/W3213079724"],"abstract_inverted_index":{"Coronary":[0],"artery":[1],"disease":[2],"(CAD)":[3],"is":[4,9,59,126],"highly":[5],"prevalent":[6],"worldwide":[7],"but":[8],"challenging":[10],"to":[11,14,64,190],"identify":[12],"due":[13],"its":[15],"hidden":[16],"symptoms.":[17],"Facial":[18],"videos":[19],"provide":[20],"a":[21,88,178],"possible":[22],"means":[23],"for":[24,194],"CAD":[25,37,44,79,94,196],"screening":[26,193],"as":[27,121],"facial":[28,49,85],"features":[29,50,86,100],"and":[30,51,74,91,152],"skin":[31,52,102],"color":[32,53,103],"changes":[33],"are":[34,139],"associated":[35],"with":[36,118,143,147],"risk.":[38],"However,":[39],"opposite":[40],"test":[41],"results":[42],"of":[43,70,109,132,155],"may":[45,187],"be":[46],"drawn":[47],"from":[48],"changes.":[54,104],"A":[55],"neural":[56],"network,":[57],"VideoCAD,":[58],"proposed":[60],"in":[61,87,101,140,181,197],"this":[62,66],"work":[63],"address":[65],"problem.":[67],"It":[68,163],"consists":[69],"two":[71,111],"modules,":[72],"PulseCAD":[73,76],"ImageCAD.":[75],"predicts":[77],"whether":[78],"was":[80],"present":[81],"based":[82,96],"on":[83,97,128],"the":[84,98,107,110,116,122,144,149,166,172,198],"video":[89,130],"frame,":[90],"ImageCAD":[92],"performs":[93],"prediction":[95,117],"pulse-related":[99],"VideoCAD":[105,125],"quantifies":[106],"uncertainties":[108],"modules\u2019":[112],"predictions":[113,138],"before":[114],"selecting":[115],"lower":[119],"uncertainty":[120],"final":[123],"result.":[124],"evaluated":[127],"1200":[129],"samples":[131],"200":[133],"subjects":[134],"(50%":[135],"CAD).":[136],"Its":[137],"substantial":[141],"agreement":[142],"ground":[145],"truths,":[146],"both":[148],"sensitivity":[150],"(SE)":[151],"specificity":[153],"(SP)":[154],"<inline-formula":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[158],"<tex-math":[159],"notation=\"LaTeX\">$&gt;0.88$":[160],"</tex-math></inline-formula>":[161],".":[162],"also":[164],"outperforms":[165],"state-of-the-art":[167],"methods":[168],"that":[169],"only":[170],"consider":[171],"face":[173],"or":[174],"pulse":[175],"features,":[176],"achieving":[177],">20%":[179],"increase":[180],"Cohen\u2019s":[182],"Kappa":[183],"coefficient.":[184],"This":[185],"technique":[186],"hold":[188],"promise":[189],"achieve":[191],"opportunistic":[192],"occult":[195],"community.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}