{"id":"https://openalex.org/W3081930896","doi":"https://doi.org/10.1109/embc44109.2020.9176282","title":"Detecting Carotid Intima-Media From Small-Sample Ultrasound Images","display_name":"Detecting Carotid Intima-Media From Small-Sample Ultrasound Images","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081930896","doi":"https://doi.org/10.1109/embc44109.2020.9176282","mag":"3081930896","pmid":"https://pubmed.ncbi.nlm.nih.gov/33018427"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9176282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5031696508","display_name":"Shiyu Mi","orcid":"https://orcid.org/0000-0002-9582-4621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyu Mi","raw_affiliation_strings":["Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042892003","display_name":"Zhanghong Wei","orcid":"https://orcid.org/0000-0002-9361-5893"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanghong Wei","raw_affiliation_strings":["Department of Ultrasound, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017431053","display_name":"Jinfeng Xu","orcid":"https://orcid.org/0000-0001-5380-4625"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Xu","raw_affiliation_strings":["Department of Ultrasound, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112560669","display_name":"Zijun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijun Yu","raw_affiliation_strings":["Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab. of Info. Sci & Tech / Shenzhen Engineering Lab. of IS & DCP, Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031696508"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2987,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61459652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"2129","last_page":"2132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9997000098228455,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9997000098228455,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9991000294685364,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9865999817848206,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.720090389251709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171463370323181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536213159561157},{"id":"https://openalex.org/keywords/intima-media-thickness","display_name":"Intima-media thickness","score":0.5891451835632324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5239220261573792},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5143910050392151},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.513391375541687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5015854835510254},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.46813616156578064},{"id":"https://openalex.org/keywords/carotid-arteries","display_name":"Carotid arteries","score":0.45409318804740906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4112267792224884},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2049558162689209},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.20200425386428833},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11358517408370972}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.720090389251709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171463370323181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536213159561157},{"id":"https://openalex.org/C2779339615","wikidata":"https://www.wikidata.org/wiki/Q2698596","display_name":"Intima-media thickness","level":3,"score":0.5891451835632324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5239220261573792},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5143910050392151},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.513391375541687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5015854835510254},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.46813616156578064},{"id":"https://openalex.org/C2987047532","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Carotid arteries","level":2,"score":0.45409318804740906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4112267792224884},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2049558162689209},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20200425386428833},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11358517408370972}],"mesh":[{"descriptor_ui":"D003146","descriptor_name":"Communications Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003146","descriptor_name":"Communications Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003146","descriptor_name":"Communications Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D059168","descriptor_name":"Carotid Intima-Media Thickness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059168","descriptor_name":"Carotid Intima-Media Thickness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059168","descriptor_name":"Carotid Intima-Media Thickness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9176282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33018427","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33018427","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1982399072","https://openalex.org/W2002349652","https://openalex.org/W2010181125","https://openalex.org/W2048207106","https://openalex.org/W2051213794","https://openalex.org/W2396622801","https://openalex.org/W2535574854","https://openalex.org/W2634004404","https://openalex.org/W2904644974","https://openalex.org/W2913705661","https://openalex.org/W2994849988"],"related_works":["https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W2320777932","https://openalex.org/W103084066","https://openalex.org/W2350408142","https://openalex.org/W2465150189","https://openalex.org/W2364990632","https://openalex.org/W1995851934","https://openalex.org/W2320284806","https://openalex.org/W4231306154"],"abstract_inverted_index":{"Cardiovascular":[0],"diseases":[1],"are":[2,92],"the":[3,12,19,28,33,42,62,76,88,103,114,123],"biggest":[4],"threat":[5],"to":[6,40,101,131],"human":[7],"being's":[8],"health":[9],"all":[10],"over":[11,120],"world,":[13],"and":[14,30,94,122],"carotid":[15],"atherosclerotic":[16],"plaque":[17],"is":[18,36,59,81,99,119,127],"leading":[20],"cause":[21],"of":[22,32,37,64,66,78,117,125],"ischemic":[23],"cardiovascular":[24],"diseases.":[25],"To":[26],"determine":[27],"location":[29],"shape":[31],"plaque,":[34],"it":[35],"great":[38],"significance":[39],"detect":[41,102],"intima-media":[43],"(IM).":[44],"In":[45,73],"this":[46],"paper,":[47],"a":[48,96],"new":[49],"IM":[50,65],"detection":[51,63],"method":[52],"based":[53],"on":[54,109],"convolution":[55],"neural":[56],"network":[57],"(IMD-CNN)":[58],"proposed":[60],"for":[61],"blood":[67],"vessels":[68],"in":[69],"longitudinal":[70],"ultrasonic":[71],"images.":[72],"IMD-CNN,":[74],"firstly":[75],"region":[77],"interest":[79],"(ROI)":[80],"automatically":[82],"extracted":[83],"by":[84],"morphological":[85],"processing,":[86],"then":[87],"patch-wise":[89],"training":[90],"data":[91],"constructed,":[93],"finally":[95],"simple":[97],"CNN":[98],"trained":[100],"IM.":[104],"The":[105],"experimental":[106],"results":[107],"obtained":[108],"23":[110],"images":[111],"show":[112],"that":[113],"test":[115],"accuracy":[116],"IMD-CNN":[118,126],"86%":[121],"performance":[124],"also":[128],"visually":[129],"proved":[130],"be":[132],"effective.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}