{"id":"https://openalex.org/W2147195826","doi":"https://doi.org/10.1109/isbi.2012.6235527","title":"Automatic coronary extraction by supervised detection and shape matching","display_name":"Automatic coronary extraction by supervised detection and shape matching","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2147195826","doi":"https://doi.org/10.1109/isbi.2012.6235527","mag":"2147195826"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","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/A5012238763","display_name":"Yoshiro Kitamura","orcid":"https://orcid.org/0000-0001-5279-3506"},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiro Kitamura","raw_affiliation_strings":["Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]},{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011505663","display_name":"Yuanzhong Li","orcid":"https://orcid.org/0000-0003-2490-4867"},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuanzhong Li","raw_affiliation_strings":["Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]},{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011344628","display_name":"Wataru Ito","orcid":"https://orcid.org/0000-0002-5631-8267"},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Ito","raw_affiliation_strings":["Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, FUJIFILM corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]},{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4988,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90923516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"234","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6856555938720703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6641151905059814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6035284399986267},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5791449546813965},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5419607162475586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5382570624351501},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5380063056945801},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5241296887397766},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.45598840713500977},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4302471876144409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3999137282371521},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3418298661708832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19204476475715637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856555938720703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6641151905059814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6035284399986267},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5791449546813965},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5419607162475586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5382570624351501},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5380063056945801},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5241296887397766},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.45598840713500977},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4302471876144409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3999137282371521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3418298661708832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19204476475715637},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1531977904","https://openalex.org/W1554965040","https://openalex.org/W1744214816","https://openalex.org/W1997337116","https://openalex.org/W2024046085","https://openalex.org/W2063128180","https://openalex.org/W2063806425","https://openalex.org/W2113137767","https://openalex.org/W2129534965","https://openalex.org/W2139936493","https://openalex.org/W2149803830","https://openalex.org/W2164598857","https://openalex.org/W2165023525","https://openalex.org/W2168005337","https://openalex.org/W2169017333","https://openalex.org/W2533795154","https://openalex.org/W3111811762","https://openalex.org/W6632010395","https://openalex.org/W6633414824","https://openalex.org/W6637760914","https://openalex.org/W6679367408","https://openalex.org/W6786873278"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W4283017538","https://openalex.org/W1996936972","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W4291718021"],"abstract_inverted_index":{"Automatic":[0],"coronary":[1,23],"extraction":[2,24,31],"has":[3],"great":[4],"clinical":[5,154],"importance":[6],"in":[7,83],"the":[8,50,87,96,106,117,136,147],"effective":[9],"handling":[10],"and":[11,35,38,120],"visualization":[12],"of":[13,16,32,40,61,77,105,146],"large":[14],"amounts":[15],"3D":[17,64],"data.":[18],"Despite":[19],"tremendous":[20],"previous":[21],"research,":[22],"remains":[25],"difficult.":[26],"Two":[27],"such":[28],"difficulties":[29],"are":[30,123,139],"both":[33],"normal":[34],"abnormal":[36],"vessels":[37],"reconstruction":[39],"exact":[41],"tree":[42,132],"structures":[43,133],"based":[44],"on":[45],"anatomical":[46],"knowledge.":[47],"To":[48],"solve":[49],"first":[51],"difficulty,":[52,89],"we":[53,90],"propose":[54,91],"a":[55,59,62,67,126],"method":[56,151],"to":[57,94,111],"learn":[58],"classifier":[60],"tubular":[63],"object":[65],"with":[66],"dimension":[68],"reduction":[69],"approach":[70,93,107],"using":[71,125],"Hessian":[72],"analysis.":[73],"This":[74],"enables":[75],"detection":[76],"vessel":[78],"candidate":[79,118],"points":[80,119,122],"despite":[81],"variations":[82],"their":[84],"appearances.":[85],"Regarding":[86],"second":[88],"an":[92],"apply":[95],"MRF":[97],"framework":[98],"for":[99],"vascular":[100],"structure":[101],"segmentation.":[102],"A":[103],"novelty":[104],"is":[108],"incorporating":[109],"constraints":[110],"avoid":[112],"topological":[113],"inconsistency.":[114],"Correspondences":[115],"between":[116],"model":[121,138],"found":[124],"graph":[127],"matching":[128],"process":[129],"during":[130],"which,":[131],"as":[134],"per":[135],"shape":[137],"simultaneously":[140],"reconstructed.":[141],"Experimental":[142],"results":[143],"show":[144],"robustness":[145],"method.":[148],"The":[149],"proposed":[150],"can":[152],"improve":[153],"workflow.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}