{"id":"https://openalex.org/W2285522197","doi":"https://doi.org/10.2312/vcbm.20151215","title":"Automated Slice-Based Artery Identification in Various Field-of-View CTA Scans","display_name":"Automated Slice-Based Artery Identification in Various Field-of-View CTA Scans","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2285522197","doi":"https://doi.org/10.2312/vcbm.20151215","mag":"2285522197"},"language":"en","primary_location":{"id":"doi:10.2312/vcbm.20151215","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20151215","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vcbm.20151215","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101431330","display_name":"David Major","orcid":"https://orcid.org/0000-0002-9091-3684"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Major, David","raw_affiliation_strings":["VRVis Center for Virtual Reality and Visualization, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Center for Virtual Reality and Visualization, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004946675","display_name":"Alexey A. Novikov","orcid":"https://orcid.org/0000-0002-0513-9488"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Novikov, Alexey A.","raw_affiliation_strings":["VRVis Center for Virtual Reality and Visualization, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Center for Virtual Reality and Visualization, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080631247","display_name":"M Wimmer","orcid":"https://orcid.org/0000-0003-2599-2395"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Wimmer, Maria","raw_affiliation_strings":["VRVis Center for Virtual Reality and Visualization, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Center for Virtual Reality and Visualization, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069800147","display_name":"Ji\u0159\u0131\u0301 Hlad\u016fvka","orcid":"https://orcid.org/0000-0002-5947-8813"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hladuvka, Jiri","raw_affiliation_strings":["VRVis Center for Virtual Reality and Visualization, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Center for Virtual Reality and Visualization, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085507158","display_name":"Katja B\u00fchler","orcid":"https://orcid.org/0000-0002-0362-7998"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"B\u00fchler, Katja","raw_affiliation_strings":["VRVis Center for Virtual Reality and Visualization, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"VRVis Center for Virtual Reality and Visualization, Vienna, Austria","institution_ids":["https://openalex.org/I1343190059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101431330"],"corresponding_institution_ids":["https://openalex.org/I1343190059"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.6282044649124146},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5994411706924438},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47082024812698364},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed tomography angiography","score":0.4634665548801422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46262502670288086},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.46244698762893677},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4114159047603607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40503984689712524},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2138630747795105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282044649124146},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5994411706924438},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47082024812698364},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.4634665548801422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46262502670288086},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.46244698762893677},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4114159047603607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40503984689712524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2138630747795105},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/vcbm.20151215","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20151215","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2285522197","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/vcbm20151215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/vcbm.20151215","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm.20151215","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W144691381","https://openalex.org/W1200562143","https://openalex.org/W1537053577","https://openalex.org/W1574623101","https://openalex.org/W1891840219","https://openalex.org/W2025785878","https://openalex.org/W2046406485","https://openalex.org/W2067074650","https://openalex.org/W2074673068","https://openalex.org/W2082765213","https://openalex.org/W2086504823","https://openalex.org/W2086810642","https://openalex.org/W2091776917","https://openalex.org/W2101572127","https://openalex.org/W2135884805","https://openalex.org/W2161969291","https://openalex.org/W2800559265"],"related_works":["https://openalex.org/W2593392128","https://openalex.org/W2091776917","https://openalex.org/W2001726603","https://openalex.org/W2791546502","https://openalex.org/W2047021808","https://openalex.org/W2064401185","https://openalex.org/W2775266843","https://openalex.org/W2004025522","https://openalex.org/W3057215648","https://openalex.org/W2543376834","https://openalex.org/W2310726407","https://openalex.org/W1965381323","https://openalex.org/W2095345625","https://openalex.org/W2127895623","https://openalex.org/W1574623101","https://openalex.org/W2103301184","https://openalex.org/W1641467801","https://openalex.org/W3165362831","https://openalex.org/W149469793","https://openalex.org/W2306141110"],"abstract_inverted_index":{"Automated":[0,22],"identification":[1,42],"of":[2,18,43,47,82],"main":[3,45],"arteries":[4,46,72,142],"in":[5,15,28,52,77],"Computed":[6],"Tomography":[7],"Angiography":[8],"(CTA)":[9],"scans":[10,132],"plays":[11],"a":[12,38,83],"key":[13],"role":[14],"the":[16,60,65,68,80,95,112,117],"initialization":[17],"vessel":[19,23,29,151],"tracking":[20,24],"algorithms.":[21],"tools":[25],"support":[26],"physicians":[27],"analysis":[30,152],"and":[31,67,73,94,146],"make":[32],"their":[33],"workflow":[34],"time-efficient.":[35],"We":[36],"present":[37],"fully-automated":[39],"framework":[40],"for":[41,149],"five":[44],"three":[48],"different":[49,141],"body":[50],"regions":[51],"various":[53,134],"field-of-view":[54,81],"CTA":[55,84,131],"scans.":[56],"Our":[57,125],"method":[58,126],"detects":[59],"two":[61,69],"common":[62,70],"iliac":[63],"arteries,":[64],"aorta":[66],"carotid":[71],"delivers":[74],"seed":[75,106],"positions":[76,90,107],"them.":[78],"After":[79],"scan":[85],"is":[86],"identified,":[87],"artery":[88,105,118],"candidate":[89],"are":[91,98,108],"regressed":[92],"slice-wise":[93],"best":[96],"candidates":[97],"selected":[99],"by":[100,110],"Naive":[101],"Bayes":[102],"classification.":[103],"Final":[104],"detected":[109],"picking":[111],"most":[113],"optimal":[114],"path":[115],"over":[116],"classification":[119],"results":[120],"from":[121],"slice":[122],"to":[123],"slice.":[124],"was":[127],"evaluated":[128],"on":[129,140],"20":[130],"with":[133],"field-of-views.":[135],"The":[136],"high":[137],"detection":[138],"performance":[139],"shows":[143],"its":[144],"generality":[145],"future":[147],"applicability":[148],"automated":[150],"systems.":[153]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}