{"id":"https://openalex.org/W4210459896","doi":"https://doi.org/10.3390/s22030887","title":"FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding","display_name":"FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding","publication_year":2022,"publication_date":"2022-01-24","ids":{"openalex":"https://openalex.org/W4210459896","doi":"https://doi.org/10.3390/s22030887","pmid":"https://pubmed.ncbi.nlm.nih.gov/35161631"},"language":"en","primary_location":{"id":"doi:10.3390/s22030887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22030887","pdf_url":"https://www.mdpi.com/1424-8220/22/3/887/pdf?version=1643103715","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/3/887/pdf?version=1643103715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086843035","display_name":"Yanhan Li","orcid":"https://orcid.org/0000-0002-1485-378X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhan Li","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0002-1485-378X","affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050199771","display_name":"Lian Zou","orcid":"https://orcid.org/0000-0001-9090-1782"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Zou","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078394535","display_name":"Li Xiong","orcid":"https://orcid.org/0000-0001-7354-0428"},"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":true,"raw_author_name":"Li Xiong","raw_affiliation_strings":["Cardiovascular Ultrasound Department, Zhongnan Hospital of Wuhan University, Wuhan 430071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Ultrasound Department, Zhongnan Hospital of Wuhan University, Wuhan 430071, China","institution_ids":["https://openalex.org/I4210120234","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016561209","display_name":"Fen Yu","orcid":"https://orcid.org/0000-0002-0634-1434"},"institutions":[{"id":"https://openalex.org/I4210143568","display_name":"Central Hospital of Wuhan","ror":"https://ror.org/04qs2sz84","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143568"]},{"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":"Fen Yu","raw_affiliation_strings":["Department of Ultrasound, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China","institution_ids":["https://openalex.org/I47720641","https://openalex.org/I4210143568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053349677","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-3355-0063"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090656144","display_name":"Cien Fan","orcid":"https://orcid.org/0000-0002-4973-6444"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cien Fan","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055802416","display_name":"Mofan 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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mofan Cheng","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350253","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-9144-148X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5078394535"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210120234"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.1153,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87902266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"3","first_page":"887","last_page":"887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9905999898910522,"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":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.7355120182037354},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6990997791290283},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6127686500549316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053104400634766},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5934351086616516},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5593645572662354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5542570352554321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49027565121650696},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48058199882507324},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42440173029899597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38526466488838196},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07695662975311279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355120182037354},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6990997791290283},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6127686500549316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053104400634766},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5934351086616516},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5593645572662354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5542570352554321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49027565121650696},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48058199882507324},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42440173029899597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38526466488838196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07695662975311279},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","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}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22030887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22030887","pdf_url":"https://www.mdpi.com/1424-8220/22/3/887/pdf?version=1643103715","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35161631","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35161631","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:009935f344f8467e84cd16be8583760a","is_oa":true,"landing_page_url":"https://doaj.org/article/009935f344f8467e84cd16be8583760a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 3, p 887 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/3/887/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22030887","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 3; Pages: 887","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8838852","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8838852","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22030887","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22030887","pdf_url":"https://www.mdpi.com/1424-8220/22/3/887/pdf?version=1643103715","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210459896.pdf","grobid_xml":"https://content.openalex.org/works/W4210459896.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1595356754","https://openalex.org/W1863376748","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1974592909","https://openalex.org/W1981283808","https://openalex.org/W2006906574","https://openalex.org/W2090062220","https://openalex.org/W2131673682","https://openalex.org/W2144067918","https://openalex.org/W2155477484","https://openalex.org/W2475079525","https://openalex.org/W2560023338","https://openalex.org/W2634004404","https://openalex.org/W2752782242","https://openalex.org/W2760103357","https://openalex.org/W2792583460","https://openalex.org/W2884436604","https://openalex.org/W2884585870","https://openalex.org/W2944775438","https://openalex.org/W2946948417","https://openalex.org/W2962767316","https://openalex.org/W2964098128","https://openalex.org/W2964309882","https://openalex.org/W3000459035","https://openalex.org/W3007764110","https://openalex.org/W3034328552","https://openalex.org/W3037233011","https://openalex.org/W3129350331","https://openalex.org/W3187749735","https://openalex.org/W3201250116","https://openalex.org/W4295312788","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W4391621807","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W4220731478","https://openalex.org/W1974101135"],"abstract_inverted_index":{"Automated":[0],"segmentation":[1],"and":[2,16,24,44,82,88,143,153],"evaluation":[3],"of":[4,10,19,22,41,47,95,108,116,138,172],"carotid":[5,48,73,149],"plaques":[6],"ultrasound":[7,42,151],"images":[8,43],"is":[9],"great":[11],"significance":[12],"for":[13],"the":[14,37,77,86,93,109,113,136,157,170],"diagnosis":[15],"early":[17],"intervention":[18],"high-risk":[20],"groups":[21],"cardiovascular":[23],"cerebrovascular":[25],"diseases.":[26],"However,":[27],"it":[28],"remains":[29],"challenging":[30],"to":[31,36,70,91,126,130,161],"develop":[32],"such":[33],"solutions":[34],"due":[35],"relatively":[38],"low":[39],"quality":[40],"heterogenous":[45],"characteristics":[46],"plaques.":[49,74],"To":[50],"address":[51],"those":[52],"problems,":[53],"in":[54,135,147],"this":[55],"paper,":[56],"we":[57,120],"propose":[58,76,100],"a":[59,101,122],"novel":[60],"deep":[61],"convolutional":[62],"neural":[63],"network,":[64],"FRDD-Net,":[65],"with":[66],"an":[67],"encoder-decoder":[68],"architecture":[69],"automatically":[71],"segment":[72],"We":[75,98,141],"feature":[78],"remapping":[79],"modules":[80],"(FRMs)":[81],"incorporate":[83],"them":[84],"into":[85],"encoding":[87],"decoding":[89,104],"blocks":[90],"ameliorate":[92],"reliability":[94],"acquired":[96],"features.":[97,118],"also":[99],"new":[102],"dense":[103],"mechanism":[105],"as":[106],"part":[107],"decoder,":[110],"thus":[111],"promoting":[112],"utilization":[114],"efficiency":[115],"encoded":[117],"Additionally,":[119],"construct":[121],"compound":[123],"loss":[124],"function":[125],"train":[127,142],"our":[128,145,154,173],"network":[129,146],"further":[131],"enhance":[132],"its":[133],"robustness":[134],"face":[137],"numerous":[139],"cases.":[140],"test":[144],"multiple":[148],"plaque":[150],"datasets":[152],"method":[155],"yields":[156],"best":[158],"performance":[159],"compared":[160],"other":[162],"state-of-the-art":[163],"methods.":[164],"Further":[165],"ablation":[166],"studies":[167],"consistently":[168],"show":[169],"advancement":[171],"proposed":[174],"architecture.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}