{"id":"https://openalex.org/W3111555901","doi":"https://doi.org/10.1109/ipta50016.2020.9286458","title":"CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural Network Architectures","display_name":"CenterlineNet: Automatic Coronary Artery Centerline Extraction for Computed Tomographic Angiographic Images Using Convolutional Neural Network Architectures","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3111555901","doi":"https://doi.org/10.1109/ipta50016.2020.9286458","mag":"3111555901"},"language":"en","primary_location":{"id":"doi:10.1109/ipta50016.2020.9286458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013504730","display_name":"Saifeddine Rjiba","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210121059","display_name":"Canon (France)","ror":"https://ror.org/02se40x69","country_code":"FR","type":"company","lineage":["https://openalex.org/I1320697193","https://openalex.org/I4210121059"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Saifeddine RJIBA","raw_affiliation_strings":["Canon Medical Systems France","University of Poitiers","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Canon Medical Systems France","institution_ids":["https://openalex.org/I4210121059"]},{"raw_affiliation_string":"University of Poitiers","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630249","display_name":"Thierry Urruty","orcid":"https://orcid.org/0000-0003-1339-1920"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry URRUTY","raw_affiliation_strings":["University of Poitiers","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)"],"affiliations":[{"raw_affiliation_string":"University of Poitiers","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107305692","display_name":"Pascal Bourdon","orcid":"https://orcid.org/0000-0003-0218-4029"},"institutions":[{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pascal BOURDON","raw_affiliation_strings":["University of Poitiers","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","Universit\u00e9 de Poitiers  - Facult\u00e9 de Sciences fondamentales et appliqu\u00e9es (Universit\u00e9 de Poitiers - Campus - B\u00e2timent B5 (Administration) - 9 rue Charles-Claude Chenou - TSA 51106 - 86073 Poitiers Cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"University of Poitiers","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]},{"raw_affiliation_string":"Universit\u00e9 de Poitiers  - Facult\u00e9 de Sciences fondamentales et appliqu\u00e9es (Universit\u00e9 de Poitiers - Campus - B\u00e2timent B5 (Administration) - 9 rue Charles-Claude Chenou - TSA 51106 - 86073 Poitiers Cedex 9 - France)","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine FERNANDEZ-MALOIGNE","raw_affiliation_strings":["University of Poitiers","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)"],"affiliations":[{"raw_affiliation_string":"University of Poitiers","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008819551","display_name":"Roger DELEPAULE","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121059","display_name":"Canon (France)","ror":"https://ror.org/02se40x69","country_code":"FR","type":"company","lineage":["https://openalex.org/I1320697193","https://openalex.org/I4210121059"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roger DELEPAULE","raw_affiliation_strings":["Canon Medical Systems France"],"affiliations":[{"raw_affiliation_string":"Canon Medical Systems France","institution_ids":["https://openalex.org/I4210121059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031610992","display_name":"L Christiaens","orcid":"https://orcid.org/0000-0001-7245-7542"},"institutions":[{"id":"https://openalex.org/I4210111187","display_name":"Centre Hospitalier Universitaire de Poitiers","ror":"https://ror.org/029s6hd13","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210111187"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Luc-Philippe CHRISTIAENS","raw_affiliation_strings":["Poitiers University Hospital","CHU de Poitiers [La Mil\u00e9trie] - Centre hospitalier universitaire de Poitiers = Poitiers University Hospital (2 Rue de la Mil\u00e9trie, 86021 Poitiers - France)"],"affiliations":[{"raw_affiliation_string":"Poitiers University Hospital","institution_ids":[]},{"raw_affiliation_string":"CHU de Poitiers [La Mil\u00e9trie] - Centre hospitalier universitaire de Poitiers = Poitiers University Hospital (2 Rue de la Mil\u00e9trie, 86021 Poitiers - France)","institution_ids":["https://openalex.org/I4210111187"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036261277","display_name":"R\u00e9my Guillevin","orcid":"https://orcid.org/0000-0002-8650-7827"},"institutions":[{"id":"https://openalex.org/I4210111187","display_name":"Centre Hospitalier Universitaire de Poitiers","ror":"https://ror.org/029s6hd13","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210111187"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remy Guillevin","raw_affiliation_strings":["University and Hospital of Poitiers","CHU de Poitiers [La Mil\u00e9trie] - Centre hospitalier universitaire de Poitiers = Poitiers University Hospital (2 Rue de la Mil\u00e9trie, 86021 Poitiers - France)","UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)"],"affiliations":[{"raw_affiliation_string":"University and Hospital of Poitiers","institution_ids":["https://openalex.org/I4210111187"]},{"raw_affiliation_string":"CHU de Poitiers [La Mil\u00e9trie] - Centre hospitalier universitaire de Poitiers = Poitiers University Hospital (2 Rue de la Mil\u00e9trie, 86021 Poitiers - France)","institution_ids":["https://openalex.org/I4210111187"]},{"raw_affiliation_string":"UP - Universit\u00e9 de Poitiers =  University of Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5013504730"],"corresponding_institution_ids":["https://openalex.org/I32881790","https://openalex.org/I4210121059"],"apc_list":null,"apc_paid":null,"fwci":0.6679,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7415915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9937999844551086,"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.987500011920929,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8109242916107178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707765460014343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6626144051551819},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5718618631362915},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5448957681655884},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47809621691703796},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.4728158712387085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4686759114265442},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4438965618610382},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3898981213569641},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3743778467178345},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23339226841926575},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19296583533287048}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8109242916107178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707765460014343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6626144051551819},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5718618631362915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5448957681655884},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47809621691703796},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.4728158712387085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4686759114265442},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4438965618610382},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3898981213569641},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3743778467178345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23339226841926575},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19296583533287048},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipta50016.2020.9286458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03127976v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03127976","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286458⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W78661028","https://openalex.org/W1901129140","https://openalex.org/W1997337116","https://openalex.org/W2082304218","https://openalex.org/W2096320880","https://openalex.org/W2149803830","https://openalex.org/W2165023525","https://openalex.org/W2168005337","https://openalex.org/W2396197374","https://openalex.org/W2464708700","https://openalex.org/W2522455486","https://openalex.org/W2525606708","https://openalex.org/W2895401428","https://openalex.org/W2898952695","https://openalex.org/W2922901657","https://openalex.org/W2925321904","https://openalex.org/W2927851116","https://openalex.org/W3111811762","https://openalex.org/W4206519045","https://openalex.org/W4295095912","https://openalex.org/W6747241841"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2397288865","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2368524271","https://openalex.org/W4247116873","https://openalex.org/W2811106690","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2884201223"],"abstract_inverted_index":{"The":[0,51],"prevention":[1],"of":[2,10,41,76,92,96,106,127,141,158,179,204],"cardiovascular":[3],"diseases":[4],"starts":[5],"by":[6],"a":[7,34,57,64,83,164,201],"thorough":[8],"examination":[9],"the":[11,29,38,71,77,88,93,97,102,107,122,125,128,134,139,151,156,159,177,180,188,193],"coronary":[12,42,78,129,171],"artery":[13,43,79,172],"vessels":[14],"for":[15,37,170],"atherosclerotic":[16],"plaques":[17],"existence.":[18],"By":[19],"combining":[20],"deep":[21],"learning":[22],"convolutional":[23,59],"Neural":[24],"Network":[25],"(CNN)":[26],"architectures":[27],"and":[28,73,113,124,131,145,206],"biological":[30],"knowledge,":[31],"we":[32],"introduce":[33],"novel":[35],"method":[36,53],"automatic":[39,111],"extraction":[40,104],"centerlines":[44],"in":[45,183],"Computed":[46],"Tomography":[47],"Angiography":[48],"(CTA)":[49],"data.":[50],"proposed":[52],"is":[54],"based":[55],"on":[56],"3D":[58],"neural":[60],"network":[61],"used":[62],"as":[63,99,101],"local":[65],"vessel":[66,85],"centerline":[67,173],"detector":[68],"to":[69,120,149],"extract":[70],"main":[72],"side":[74],"branches":[75],"tree.":[80],"Coupled":[81],"with":[82],"preprocessing":[84],"enhancing":[86],"step,":[87],"model":[89],"takes":[90],"advantage":[91],"analytical":[94],"analysis":[95],"former":[98],"well":[100],"feature":[103],"ability":[105],"CNN.":[108],"In":[109],"addition,":[110],"aorta":[112],"heart":[114],"region":[115],"detections":[116],"are":[117],"also":[118],"performed":[119],"delineate":[121],"origin":[123],"extent":[126],"tree":[130],"phase":[132],"out":[133],"false":[135],"predictions.":[136],"We":[137],"investigate":[138],"use":[140],"Coronary":[142,195],"Stenosis'":[143],"Detection":[144],"Quantification":[146],"(2012)":[147],"Database":[148],"enrich":[150],"training":[152],"process":[153],"while":[154,175],"ensuring":[155],"homogeneity":[157],"scans.":[160],"Our":[161],"work":[162],"offers":[163],"fully":[165],"automatic,":[166],"CNN":[167],"based,":[168],"pipeline":[169],"detection":[174],"circumventing":[176],"scarcity":[178],"medical":[181],"data":[182],"hand.":[184],"Its":[185],"validation":[186],"against":[187],"ground":[189],"truth":[190],"annotation":[191],"from":[192],"Rotterdam":[194],"Artery":[196],"Algorithm":[197],"Evaluation":[198],"Framework":[199],"yields":[200],"retrieval":[202],"ratio":[203],"95%":[205],"93%.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}