{"id":"https://openalex.org/W2296413153","doi":"https://doi.org/10.1109/icip.2015.7351049","title":"Vessel region detection in coronary X-ray angiograms","display_name":"Vessel region detection in coronary X-ray angiograms","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296413153","doi":"https://doi.org/10.1109/icip.2015.7351049","mag":"2296413153"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5041448983","display_name":"Hamidreza Fazlali","orcid":"https://orcid.org/0000-0002-1338-6614"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H. R. Fazlali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086843767","display_name":"Nader Karimi","orcid":"https://orcid.org/0000-0001-8904-1607"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"N. Karimi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023608941","display_name":"S. M. Reza Soroushmehr","orcid":"https://orcid.org/0000-0001-8417-9260"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. M. R. Soroushmehr","raw_affiliation_strings":["Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103260573","display_name":"Soumen Sinha","orcid":"https://orcid.org/0009-0003-3875-0552"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sinha","raw_affiliation_strings":["Intcmal Medicine, University of Michigan Hospital, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intcmal Medicine, University of Michigan Hospital, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001420311","display_name":"Shadrokh Samavi","orcid":"https://orcid.org/0000-0003-3951-3770"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Samavi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technologv, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051796100","display_name":"Brahmajee K. Nallamothu","orcid":"https://orcid.org/0000-0003-4331-6649"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Nallamothu","raw_affiliation_strings":["Intcmal Medicine, University of Michigan Hospital, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intcmal Medicine, University of Michigan Hospital, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Najarian","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2466,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92267179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1493","last_page":"1497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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":0.9959999918937683,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6735299825668335},{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.6536495685577393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6445928812026978},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.6389045715332031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5449366569519043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4908057153224945},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4592646360397339},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.45858001708984375},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.42998093366622925},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42205700278282166},{"id":"https://openalex.org/keywords/stenosis","display_name":"Stenosis","score":0.41080474853515625},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.3932018280029297},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3585524260997772},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1932165026664734},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12660473585128784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1177959144115448}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6735299825668335},{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.6536495685577393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6445928812026978},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6389045715332031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5449366569519043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4908057153224945},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4592646360397339},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.45858001708984375},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.42998093366622925},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42205700278282166},{"id":"https://openalex.org/C2780007028","wikidata":"https://www.wikidata.org/wiki/Q2343082","display_name":"Stenosis","level":2,"score":0.41080474853515625},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.3932018280029297},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3585524260997772},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1932165026664734},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12660473585128784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1177959144115448},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1719717358","https://openalex.org/W1966087769","https://openalex.org/W1992722249","https://openalex.org/W2007027171","https://openalex.org/W2013185925","https://openalex.org/W2013528713","https://openalex.org/W2092589256","https://openalex.org/W2099244020","https://openalex.org/W2099470758","https://openalex.org/W2102176695","https://openalex.org/W2125188192","https://openalex.org/W2129534965","https://openalex.org/W2133059825","https://openalex.org/W2155961812","https://openalex.org/W2174374693","https://openalex.org/W4252813286","https://openalex.org/W6653651233","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","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":{"X-ray":[0,20],"angiography":[1],"is":[2,40],"a":[3,67],"standard":[4],"method":[5,70,82],"for":[6,34,117],"diagnosing":[7],"coronary":[8,15,121],"artery":[9],"diseases.":[10],"In":[11,62],"order":[12],"to":[13,71],"show":[14],"arteries,":[16],"contrast":[17],"agent":[18],"and":[19,49,76,94,135],"imaging":[21],"are":[22,28,88,109],"used":[23],"but":[24],"the":[25,51,55,73,78,101,105,129,133,138],"produced":[26],"images":[27,59,75,113,131],"not":[29],"always":[30],"of":[31,47,57,104,120,128,137],"adequate":[32],"quality":[33,39,103],"visual":[35,102],"examination.":[36],"The":[37,45,111],"low":[38],"caused":[41],"by":[42],"different":[43],"artifacts.":[44],"presence":[46],"catheter":[48],"also":[50],"surrounding":[52],"tissues":[53],"make":[54],"processing":[56],"these":[58],"more":[60],"difficult.":[61],"this":[63],"paper,":[64],"we":[65],"propose":[66],"fully":[68],"automated":[69],"enhance":[72,100],"angiogram":[74],"detect":[77],"arteries.":[79],"Our":[80],"proposed":[81,139],"contains":[83],"three":[84],"main":[85],"steps":[86],"which":[87],"Hessian":[89],"filter":[90],"enhancement,":[91],"feature":[92],"extraction":[93],"vessel":[95],"region":[96],"detection.":[97],"To":[98],"further":[99],"image,":[106],"non-vessel":[107],"areas":[108],"blurred.":[110],"enhanced":[112,130],"can":[114],"be":[115],"utilized":[116],"better":[118],"diagnosis":[119],"diseases":[122],"such":[123],"as":[124],"stenosis.":[125],"Subjective":[126],"evaluation":[127],"shows":[132],"effectiveness":[134],"accuracy":[136],"method.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}