{"id":"https://openalex.org/W7091342662","doi":"https://doi.org/10.5281/zenodo.17358162","title":"Circle of Willis Centerline Graphs and Morphometric Features","display_name":"Circle of Willis Centerline Graphs and Morphometric Features","publication_year":2025,"publication_date":"2025-08-29","ids":{"openalex":"https://openalex.org/W7091342662","doi":"https://doi.org/10.5281/zenodo.17358162"},"language":"en","primary_location":{"id":"pmh:doi:10.5281/zenodo.17358161","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Musio, Fabio","orcid":"https://orcid.org/0009-0009-6205-9407"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Musio, Fabio","raw_affiliation_strings":["ZHAW Zurich University of Applied Sciences","University of Zurich"],"affiliations":[{"raw_affiliation_string":"ZHAW Zurich University of Applied Sciences","institution_ids":["https://openalex.org/I858936495"]},{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Juchler, Norman","orcid":"https://orcid.org/0000-0001-8518-7211"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Juchler, Norman","raw_affiliation_strings":["ZHAW Zurich University of Applied Sciences"],"affiliations":[{"raw_affiliation_string":"ZHAW Zurich University of Applied Sciences","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, Kaiyuan","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yang, Kaiyuan","raw_affiliation_strings":["University of Zurich"],"affiliations":[{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shit, Suprosanna","orcid":"https://orcid.org/0000-0003-4435-7207"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shit, Suprosanna","raw_affiliation_strings":["University of Zurich"],"affiliations":[{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prabhakar, Chinmay","orcid":"https://orcid.org/0000-0002-1780-8108"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Prabhakar, Chinmay","raw_affiliation_strings":["University of Zurich"],"affiliations":[{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Menze, Bjoern","orcid":"https://orcid.org/0000-0003-4136-5690"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Menze, Bjoern","raw_affiliation_strings":["University of Zurich"],"affiliations":[{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hirsch, Sven","orcid":"https://orcid.org/0000-0002-5678-4110"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hirsch, Sven","raw_affiliation_strings":["ZHAW Zurich University of Applied Sciences"],"affiliations":[{"raw_affiliation_string":"ZHAW Zurich University of Applied Sciences","institution_ids":["https://openalex.org/I858936495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202697423","https://openalex.org/I858936495"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.06989999860525131,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.06989999860525131,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.035100001841783524,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.026399999856948853,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.59579998254776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5313000082969666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5212000012397766},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46970000863075256},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46239998936653137},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3490999937057495},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.3240000009536743},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.32260000705718994}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471000075340271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4609000086784363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38830000162124634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37209999561309814},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3490999937057495},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.3240000009536743},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.5281/zenodo.17358161","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.17358162","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17358162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"dataset"}],"best_oa_location":{"id":"pmh:doi:10.5281/zenodo.17358161","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,284],"dataset":[1,46,66,104,135,171,263,285,330],"contains":[2],"anatomically":[3],"labeled":[4],"centerline":[5,63,76,178],"graphs,":[6],"surface":[7,186],"meshes,":[8],"and":[9,36,53,61,77,95,106,127,154,167,198,211,224,248,279],"derived":[10],"morphometric":[11],"features":[12],"of":[13,16,31,89,102,146,196,273,321],"the":[14,24,43,48,70,103,111,116,123,133,147,170,230,251,289,295,300,334,340],"Circle":[15],"Willis":[17,90,274],"(CoW).":[18],"The":[19,45,65,138,156,227,326],"data":[20,126],"is":[21,80,108,158,240,250,286],"based":[22],"on":[23,144,160,328],"TopCoW":[25,50,134,148],"2024":[26],"training":[27],"set,":[28],"which":[29],"consists":[30],"250":[32],"(=125":[33],"paired)":[34],"CTA":[35,243],"MRA":[37],"images":[38],"displaying":[39],"brain":[40],"vasculature,":[41],"including":[42],"CoW.":[44],"complements":[47],"available":[49,159],"multi-class":[51,128],"segmentations":[52],"supports":[54],"research":[55],"in":[56,82,110,115,264],"vascular":[57],"morphology,":[58],"graph-based":[59],"modeling,":[60],"automated":[62],"extraction.":[64],"itself,":[67],"along":[68],"with":[69],"accompanying":[71],"baseline":[72,139],"algorithm":[73,140],"for":[74,207,222,242,246],"CoW":[75,173,177,181,185,189,202,216],"feature":[78,220],"extraction,":[79],"described":[81],"our":[83],"manuscript:":[84],"Musio":[85,269,311],"et":[86,270],"al.,":[87,271],"\u201cCircle":[88,272],"Centerline":[91,275],"Graphs:":[92,276],"A":[93,99,277],"Dataset":[94,278],"Baseline":[96,280],"Algorithm\u201d":[97,281],"(2026)":[98,282],"detailed":[100],"description":[101,193],"structure":[105],"contents":[107],"provided":[109],"README":[112],"file":[113],"included":[114],"downloadable":[117],"ZIP":[118],"archive.":[119],"For":[120,164,304],"access":[121],"to":[122,132,151,299],"raw":[124],"imaging":[125],"masks,":[129],"please":[130,267,308],"refer":[131],"repository:https://zenodo.org/records/15692630":[136],"Note:":[137],"can":[141],"be":[142],"applied":[143],"top":[145],"segmentation":[149],"models":[150],"extract":[152],"centerlines":[153],"features.":[155],"code":[157],"GitHub:":[161],"https://github.com/fmusio/CoW_Centerline_Extraction":[162],"Contents":[163],"each":[165],"patient":[166,252],"modality":[168,239],"(n=250),":[169],"includes:":[172],"Graph":[174],"(cow_graphs/):":[175],"Labeled":[176,184],"graph":[179],"(.vtp)":[180,188],"Mesh":[182],"(cow_meshes/):":[183],"mesh":[187],"Variant":[190,192],"(cow_variants/):":[191],"encoding":[194],"presence/absence":[195],"segments":[197,223],"fetal-type":[199],"PCA":[200],"(.json)":[201,215,226],"Nodes":[203],"(cow_nodes/):":[204],"Node":[205],"descriptions":[206,221],"start,":[208],"end,":[209],"bifurcation":[210],"segment":[212],"boundary":[213],"points":[214],"Features":[217],"(cow_features/):":[218],"Morphometric":[219],"bifurcations":[225],"files":[228],"follow":[229],"same":[231],"naming":[232],"pattern":[233],"as":[234],"introduced":[235],"by":[236,333,339],"TopCoW:":[237],"topcow_{modality}_{pat_id}.{suffix}Where":[238],"ct":[241],"or":[244,306],"mr":[245],"MRA,":[247],"pat_id":[249],"ID":[253],"(e.g.,":[254],"001,":[255],"002,":[256],"...).":[257],"Citation":[258],"If":[259],"you":[260,297],"use":[261],"this":[262,329],"your":[265],"work,":[266],"cite:":[268],"License":[283],"released":[287],"under":[288],"CC":[290],"BY-NC":[291],"(Attribution-NonCommercial)":[292],"license.By":[293],"downloading":[294],"data,":[296],"agree":[298],"license":[301],"terms.":[302],"Contact":[303],"questions":[305],"feedback,":[307],"contact:":[309],"Fabio":[310],"\u2013":[312,318],"fabio.musio@zhaw.ch":[313],"Prof.":[314],"Dr.":[315],"Sven":[316],"Hirsch":[317],"sven.hirsch@zhaw.chZurich":[319],"University":[320],"Applied":[322],"Sciences":[323],"(ZHAW)":[324],"Acknowledgements":[325],"work":[327],"was":[331],"supported":[332],"EU":[335,341],"project":[336],"GEMINI":[337],"(funded":[338],"Horizon":[342],"Europe":[343],"R&I":[344],"programme,":[345],"Grant":[346],"No.":[347],"101136438).":[348]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-16T00:00:00"}