{"id":"https://openalex.org/W2199920586","doi":"https://doi.org/10.1109/spa.2015.7365133","title":"Segmentation of 3D magnetic resonance brain vessel images based on level set approaches","display_name":"Segmentation of 3D magnetic resonance brain vessel images based on level set approaches","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2199920586","doi":"https://doi.org/10.1109/spa.2015.7365133","mag":"2199920586"},"language":"en","primary_location":{"id":"doi:10.1109/spa.2015.7365133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078031726","display_name":"Tomasz Wo\u017aniak","orcid":"https://orcid.org/0000-0002-7387-8194"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Wozniak","raw_affiliation_strings":["Lodz University of Technology, Institute of Electronics, Lodz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017593963","display_name":"Micha\u0142 Strzelecki","orcid":"https://orcid.org/0000-0001-9102-4929"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Strzelecki","raw_affiliation_strings":["Lodz University of Technology, Institute of Electronics, Lodz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188884621"],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58921332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9886000156402588,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9708999991416931,"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/segmentation","display_name":"Segmentation","score":0.7880817651748657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111872434616089},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6872704029083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606600284576416},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6520196199417114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6045765280723572},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5919886231422424},{"id":"https://openalex.org/keywords/magnetic-resonance-angiography","display_name":"Magnetic resonance angiography","score":0.5711619257926941},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4969945251941681},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.46181049942970276},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.41230645775794983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39475566148757935},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1620458960533142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11117255687713623},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1016162633895874}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7880817651748657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111872434616089},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6872704029083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606600284576416},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6520196199417114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6045765280723572},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5919886231422424},{"id":"https://openalex.org/C2778212899","wikidata":"https://www.wikidata.org/wiki/Q907325","display_name":"Magnetic resonance angiography","level":3,"score":0.5711619257926941},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4969945251941681},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46181049942970276},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.41230645775794983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39475566148757935},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1620458960533142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11117255687713623},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1016162633895874},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spa.2015.7365133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W832804043","https://openalex.org/W1657025610","https://openalex.org/W1962314142","https://openalex.org/W1974954013","https://openalex.org/W1995629473","https://openalex.org/W1998221749","https://openalex.org/W2006594119","https://openalex.org/W2023494034","https://openalex.org/W2027931360","https://openalex.org/W2051608954","https://openalex.org/W2080657715","https://openalex.org/W2116040950","https://openalex.org/W2125241439","https://openalex.org/W2129534965","https://openalex.org/W2145803225","https://openalex.org/W2146564473","https://openalex.org/W2150788460","https://openalex.org/W2167648425","https://openalex.org/W6636722433","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2373659438","https://openalex.org/W2162755489","https://openalex.org/W1879755808","https://openalex.org/W2072057318","https://openalex.org/W2164781768","https://openalex.org/W744483630","https://openalex.org/W2050783914","https://openalex.org/W2085099126"],"abstract_inverted_index":{"Quantitative":[0],"modeling":[1],"of":[2,9,26,34],"brain":[3,89],"vasculature":[4],"is":[5,39],"important":[6,41],"for":[7,15,77,85],"diagnosis":[8],"vessel":[10,27,35],"pathologies":[11],"as":[12,14],"well":[13],"surgery":[16],"treatment":[17],"planning.":[18],"Magnetic":[19],"resonance":[20],"angiography":[21],"(MRA)":[22],"provides":[23],"reliable":[24],"visualization":[25],"tree":[28],"structure":[29],"and":[30,87],"its":[31,46],"organization.":[32],"Accuracy":[33],"segmentation":[36,59],"from":[37],"MRA":[38],"an":[40],"step":[42],"in":[43],"model":[44,50],"building;":[45],"accuracy":[47],"influences":[48],"obtained":[49],"quality.":[51],"This":[52],"paper":[53],"presents":[54],"three":[55],"level":[56],"set":[57],"based":[58],"approaches,":[60],"including":[61],"one":[62],"that":[63],"represents":[64],"original":[65],"authors":[66],"contribution.":[67],"These":[68],"methods":[69],"are":[70,98],"combined":[71],"together":[72],"with":[73,96],"vesselness":[74],"function":[75],"estimated":[76],"analyzed":[78],"images.":[79,92],"Presented":[80],"algorithms":[81],"were":[82],"applied":[83],"both":[84],"artificial":[86],"real":[88],"3D":[90],"MR":[91],"Analysis":[93],"results":[94],"along":[95],"discussion":[97],"also":[99],"included.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}