{"id":"https://openalex.org/W3133373015","doi":"https://doi.org/10.1109/jbhi.2021.3060163","title":"Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images","display_name":"Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images","publication_year":2021,"publication_date":"2021-02-18","ids":{"openalex":"https://openalex.org/W3133373015","doi":"https://doi.org/10.1109/jbhi.2021.3060163","mag":"3133373015","pmid":"https://pubmed.ncbi.nlm.nih.gov/33600328"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3060163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3060163","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-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/A5103279387","display_name":"Ran Zhou","orcid":"https://orcid.org/0000-0002-8254-4997"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Ran Zhou","raw_affiliation_strings":["College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada","School of Computer Science, Hubei University of Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-8254-4997","affiliations":[{"raw_affiliation_string":"College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015914747","display_name":"Fumin Guo","orcid":"https://orcid.org/0000-0001-6220-1455"},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fumin Guo","raw_affiliation_strings":["Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6220-1455","affiliations":[{"raw_affiliation_string":"Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022276754","display_name":"Mahmoud Reza Azarpazhooh","orcid":"https://orcid.org/0000-0003-4784-5345"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Reza Azarpazhooh","raw_affiliation_strings":["Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110785490","display_name":"Samineh Hashemi","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samineh Hashemi","raw_affiliation_strings":["Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103431239","display_name":"Xinyao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210120234","display_name":"Zhongnan Hospital of Wuhan University","ror":"https://ror.org/01v5mqw79","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210120234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Cheng","raw_affiliation_strings":["Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210120234","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016780725","display_name":"J. David Spence","orcid":"https://orcid.org/0000-0001-7478-1098"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. David Spence","raw_affiliation_strings":["Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada","Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7478-1098","affiliations":[{"raw_affiliation_string":"Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042992199","display_name":"Mingyue Ding","orcid":"https://orcid.org/0000-0003-3933-1205"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Ding","raw_affiliation_strings":["College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-3933-1205","affiliations":[{"raw_affiliation_string":"College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3525-2788","affiliations":[{"raw_affiliation_string":"Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5824,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97986107,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"8","first_page":"2967","last_page":"2977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9998000264167786,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9998000264167786,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.996999979019165,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9904999732971191,"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/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.6103509664535522},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5949820280075073},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5671871304512024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222347974777222},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.47434985637664795},{"id":"https://openalex.org/keywords/coefficient-of-variation","display_name":"Coefficient of variation","score":0.4565616846084595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4164980947971344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.390302449464798},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3782348036766052},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3319365978240967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2884565591812134},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18993216753005981},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.144930899143219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12267935276031494}],"concepts":[{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.6103509664535522},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5949820280075073},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5671871304512024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222347974777222},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.47434985637664795},{"id":"https://openalex.org/C89838059","wikidata":"https://www.wikidata.org/wiki/Q623738","display_name":"Coefficient of variation","level":2,"score":0.4565616846084595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4164980947971344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.390302449464798},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3782348036766052},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3319365978240967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2884565591812134},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18993216753005981},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.144930899143219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12267935276031494}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000473","qualifier_name":"pathology","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":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2021.3060163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3060163","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33600328","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33600328","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G242939957","display_name":null,"funder_award_id":"81571754","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1904745228","https://openalex.org/W2014542164","https://openalex.org/W2021502550","https://openalex.org/W2027928218","https://openalex.org/W2047070211","https://openalex.org/W2072230421","https://openalex.org/W2075420192","https://openalex.org/W2101926891","https://openalex.org/W2108321726","https://openalex.org/W2116802774","https://openalex.org/W2118514093","https://openalex.org/W2118729582","https://openalex.org/W2124197256","https://openalex.org/W2125096763","https://openalex.org/W2128983509","https://openalex.org/W2133774886","https://openalex.org/W2144067918","https://openalex.org/W2155806188","https://openalex.org/W2165631963","https://openalex.org/W2253429366","https://openalex.org/W2324871185","https://openalex.org/W2406583286","https://openalex.org/W2475079525","https://openalex.org/W2545416077","https://openalex.org/W2592929672","https://openalex.org/W2761877971","https://openalex.org/W2799619230","https://openalex.org/W2922483551","https://openalex.org/W2955805697","https://openalex.org/W2964309882","https://openalex.org/W2979139126","https://openalex.org/W2996290406","https://openalex.org/W3000524228","https://openalex.org/W3007764110","https://openalex.org/W3082885115","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W2027314909","https://openalex.org/W3109425891","https://openalex.org/W3096637473","https://openalex.org/W1036938216","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W4200439127","https://openalex.org/W829658220","https://openalex.org/W2946560178"],"abstract_inverted_index":{"Measurement":[0],"of":[1,20],"total-plaque-area":[2],"(TPA)":[3],"is":[4,23],"important":[5],"for":[6,11,45,186,207,271],"determining":[7],"long":[8],"term":[9],"risk":[10],"stroke":[12],"and":[13,34,42,78,102,115,123,135,148,159,195,226,243,254,263,270],"monitoring":[14],"carotid":[15,21,64],"plaque":[16,32,208],"progression.":[17],"Since":[18],"delineation":[19],"plaques":[22,61],"required,":[24],"a":[25,105,256],"deep":[26],"learning":[27],"method":[28],"can":[29],"provide":[30],"automatic":[31],"segmentations":[33,117],"TPA":[35],"measurements;":[36],"however,":[37],"it":[38],"requires":[39],"large":[40],"datasets":[41,71,253],"manual":[43,116,172,197,215,227],"annotations":[44],"training":[46,182],"with":[47,104,171,174,238,261],"unknown":[48],"performance":[49],"on":[50,68,80,97,251],"new":[51],"datasets.":[52,183],"A":[53],"UNet++":[54],"ensemble":[55,93],"algorithm":[56,155,160,225,249],"was":[57,94,140,157,191,210,223],"proposed":[58,248],"to":[59,193],"segment":[60],"from":[62,83],"2D":[63],"ultrasound":[65],"images,":[66],"trained":[67,96,250],"three":[69,181],"small":[70,252],"(n":[72,87,108],"=":[73,88,109,166,189,200,205,233,240,245],"33,":[74,75],"34":[76],"subjects)":[77],"tested":[79,103],"44":[81,152],"subjects":[82],"the":[84,98,128,143,180,213,219],"SPARC":[85,100,153],"dataset":[86,101,107,258],"144,":[89],"London,":[90],"Canada).":[91],"The":[92,247],"also":[95],"entire":[99],"different":[106,257],"497,":[110],"Zhongnan":[111,220],"Hospital,":[112],"China).":[113],"Algorithm":[114,184,203],"were":[118,125,162,229],"compared":[119,126],"using":[120,127,142,179],"Dice-similarity-coefficient":[121],"(DSC),":[122],"TPAs":[124,161,187,228],"difference":[129],"(\u0394TPA),":[130],"Pearson":[131],"correlation":[132,145],"coefficient":[133,146],"(r)":[134],"Bland-Altman":[136],"analyses.":[137],"Segmentation":[138],"variability":[139],"determined":[141],"intra-class":[144],"(ICC)":[147],"coefficient-of-variation":[149],"(CoV).":[150],"For":[151,218],"subjects,":[154],"DSC":[156,222],"83.3-85.7%,":[158],"strongly":[163,230],"correlated":[164,231],"(r":[165,232],"0.985-0.988;":[167],"p":[168,235],"<;":[169,236],"0.001)":[170,237],"results":[173,198],"marginal":[175],"biases":[176],"(0.73-6.75)":[177],"mm$^2$":[178,242],"ICC":[185,244],"(ICC":[188,199],"0.996)":[190],"similar":[192],"intra-":[194],"inter-observer":[196,214],"0.977,":[201],"0.995).":[202],"CoV":[204,216],"6.98%":[206],"areas":[209],"smaller":[211],"than":[212],"(7.54%).":[217],"dataset,":[221],"88.6%":[224],"0.972,":[234],"\u0394TPA":[239],"-0.44\u00b14.05":[241],"0.985.":[246],"segmented":[255],"without":[259],"retraining":[260],"accuracy":[262],"precision":[264],"that":[265],"may":[266],"be":[267],"useful":[268],"clinically":[269],"research.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
