{"id":"https://openalex.org/W4401908516","doi":"https://doi.org/10.1109/jbhi.2024.3450669","title":"Ensembled-SAMs for Enhanced Small Coronary Artery Segmentation in CCTA Images","display_name":"Ensembled-SAMs for Enhanced Small Coronary Artery Segmentation in CCTA Images","publication_year":2024,"publication_date":"2024-08-27","ids":{"openalex":"https://openalex.org/W4401908516","doi":"https://doi.org/10.1109/jbhi.2024.3450669","pmid":"https://pubmed.ncbi.nlm.nih.gov/39190520"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3450669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3450669","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/A5100405410","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-6988-492X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Chen","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054839645","display_name":"Junyao Ge","orcid":"https://orcid.org/0000-0003-0345-844X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Ge","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343270","display_name":"Yang Zheng","orcid":"https://orcid.org/0000-0002-0515-7280"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zheng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075078021","display_name":"Kaitai Guo","orcid":"https://orcid.org/0000-0001-6055-9293"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaitai Guo","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705984","display_name":"Feng Cao","orcid":"https://orcid.org/0000-0002-1010-6429"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Cao","raw_affiliation_strings":["Department of Cardiology & National Clinical Research Center of Geriatric Disease, 2nd Medical Center of Chinese PLA General Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Cardiology & National Clinical Research Center of Geriatric Disease, 2nd Medical Center of Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032808299","display_name":"Jimin Liang","orcid":"https://orcid.org/0000-0003-1428-5804"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimin Liang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100405410"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9227,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71855229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"7","first_page":"4612","last_page":"4622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9308000206947327,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9308000206947327,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9165999889373779,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9078999757766724,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5961650013923645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5564499497413635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5238342881202698},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.46258851885795593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4413837790489197},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.42512014508247375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4124827980995178},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.38113927841186523},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3581366539001465},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3521808981895447},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.34438034892082214}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5961650013923645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564499497413635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5238342881202698},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.46258851885795593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4413837790489197},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.42512014508247375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124827980995178},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.38113927841186523},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3581366539001465},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3521808981895447},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.34438034892082214}],"mesh":[{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3450669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3450669","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:39190520","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39190520","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/G4180260657","display_name":null,"funder_award_id":"62101416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8569268145","display_name":null,"funder_award_id":"62301405","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1974281449","https://openalex.org/W1998174764","https://openalex.org/W2080812650","https://openalex.org/W2096320880","https://openalex.org/W2149803830","https://openalex.org/W2302269942","https://openalex.org/W2305406816","https://openalex.org/W2412782625","https://openalex.org/W2791546502","https://openalex.org/W2895401428","https://openalex.org/W3014974815","https://openalex.org/W3092545592","https://openalex.org/W4213131680","https://openalex.org/W4321367639","https://openalex.org/W4384159609","https://openalex.org/W4390189930","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4392203599","https://openalex.org/W4403424772","https://openalex.org/W4408634392","https://openalex.org/W6631190155","https://openalex.org/W6784333009","https://openalex.org/W6852694211","https://openalex.org/W6855838334","https://openalex.org/W6857629663","https://openalex.org/W6859447916","https://openalex.org/W6894016195"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W3116815879","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"coronary":[1,10,14,37,180,188],"artery":[2,189],"segmentation":[3,22,127,149,178],"is":[4,129],"crucial":[5],"for":[6],"quantitative":[7],"analysis":[8],"of":[9,36,61,136,162,179],"arteries":[11],"in":[12,40,88,114,185],"noninvasive":[13],"computed":[15],"tomography":[16],"angiography":[17],"(CCTA)":[18],"images.":[19,91],"However,":[20],"current":[21],"algorithms":[23],"often":[24],"have":[25],"unsatisfactory":[26],"recall":[27],"due":[28],"to":[29,98,118,145],"the":[30,41,59,62,68,85,89,100,120,134,137,140,147,158,170,174],"small":[31,187],"size":[32],"and":[33,67,102,139,157],"complex":[34],"morphology":[35],"arteries,":[38,181],"particularly":[39],"distal":[42],"segments.":[43,190],"To":[44],"address":[45],"this":[46],"issue,":[47],"we":[48],"introduce":[49,110],"a":[50,80,111,154],"new":[51],"fully":[52],"automated":[53],"method":[54],"named":[55],"Ensembled-SAMs,":[56],"which":[57],"harnesses":[58],"strengths":[60],"Segment":[63],"Anything":[64],"Model":[65],"(SAM)":[66],"no-new-U-Net":[69],"(nnU-Net).":[70],"First,":[71],"noisy":[72,93],"bounding":[73],"box":[74],"prompts":[75,94],"are":[76,95,142],"automatically":[77],"generated":[78],"by":[79],"vesselness":[81],"algorithm":[82],"that":[83,169],"highlights":[84],"tubular":[86],"structures":[87],"CCTA":[90],"These":[92],"then":[96],"used":[97],"fine-tune":[99],"SAM":[101,108],"its":[103],"two":[104],"variants":[105,109],"separately.":[106],"The":[107],"classification":[112],"head":[113],"their":[115],"mask":[116],"decoder":[117],"alleviate":[119],"false":[121],"positives.":[122],"In":[123],"addition,":[124],"an":[125],"nnU-Net":[126,141],"network":[128],"trained":[130],"from":[131],"scratch.":[132],"Finally,":[133],"outputs":[135],"SAMs":[138],"strategically":[143],"aggregated":[144],"obtain":[146],"final":[148],"result.":[150],"Experiments":[151],"on":[152],"both":[153],"self-built":[155],"dataset":[156,167],"public":[159],"Automated":[160],"Segmentation":[161],"Coronary":[163],"Arteries":[164],"(ASOCA)":[165],"challenge":[166],"demonstrate":[168],"proposed":[171],"Ensembled-SAMs":[172],"outperforms":[173],"state-of-the-arts,":[175],"achieving":[176],"precise":[177],"with":[182],"particular":[183],"enhancement":[184],"delineating":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}