{"id":"https://openalex.org/W7161772745","doi":"https://doi.org/10.1109/isbi61048.2026.11515604","title":"Spooky Vascular Skeletons: A Study of Skeletonization Algorithms and their Evaluation on 2D Vascular Datasets","display_name":"Spooky Vascular Skeletons: A Study of Skeletonization Algorithms and their Evaluation on 2D Vascular Datasets","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161772745","doi":"https://doi.org/10.1109/isbi61048.2026.11515604"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5130255796","display_name":"Jules-Victor Lepinay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jules-Victor Lepinay","raw_affiliation_strings":["EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France","institution_ids":["https://openalex.org/I4210138808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130260688","display_name":"Oscar Morand","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Oscar Morand","raw_affiliation_strings":["EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France","institution_ids":["https://openalex.org/I4210138808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014870613","display_name":"\u00c9lodie Puybareau","orcid":"https://orcid.org/0000-0002-2748-6624"},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elodie Puybareau","raw_affiliation_strings":["EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPITA Research Laboratory (LRE), 94270 Le Kremlin-Bicetre,France","institution_ids":["https://openalex.org/I4210138808"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210138808"],"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.21160000562667847,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.21160000562667847,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10071","display_name":"Bone health and osteoporosis research","score":0.10429999977350235,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports 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/T11366","display_name":"Elasticity and Material Modeling","score":0.039400000125169754,"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/skeletonization","display_name":"Skeletonization","score":0.7867000102996826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666000008583069},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.31630000472068787},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.25029999017715454}],"concepts":[{"id":"https://openalex.org/C23951316","wikidata":"https://www.wikidata.org/wiki/Q1984140","display_name":"Skeletonization","level":2,"score":0.7867000102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623000264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479000210762024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3995000123977661},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2517000138759613},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.25029999017715454},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24469999969005585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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":12,"referenced_works":["https://openalex.org/W1496383623","https://openalex.org/W2015159529","https://openalex.org/W2033723371","https://openalex.org/W2039367092","https://openalex.org/W2048733914","https://openalex.org/W2055738078","https://openalex.org/W2129098176","https://openalex.org/W2150769593","https://openalex.org/W2158008371","https://openalex.org/W3174708193","https://openalex.org/W4390872777","https://openalex.org/W4399196721"],"related_works":[],"abstract_inverted_index":{"Skeletonization":[0],"algorithms":[1,56],"are":[2],"widely":[3],"used":[4],"in":[5,15,36,46,64],"image":[6],"analysis":[7],"and":[8,10,43,61,69,95,117],"processing,":[9],"also":[11],"added":[12],"as":[13],"loss":[14],"neural":[16],"networks.":[17],"But":[18],"do":[19],"we":[20,31],"really":[21],"know":[22],"how":[23],"they":[24],"behave":[25],"with":[26],"vessels?":[27],"In":[28],"this":[29],"work,":[30],"focus":[32],"on":[33,57],"their":[34,44],"application":[35],"vascular":[37,41],"imaging,":[38],"particularly":[39],"for":[40],"segmentation,":[42],"behaviour":[45],"the":[47,83,88,91,107,115],"case":[48],"of":[49,66,90,106,114,119],"2D":[50],"retinal":[51,59],"segmentation.":[52],"We":[53],"apply":[54],"skeletonization":[55,109],"public":[58],"datasets":[60],"evaluated":[62],"them":[63],"terms":[65],"topological":[67],"preservation":[68],"morphological":[70],"coherence":[71],"using":[72],"manually":[73],"annotated":[74],"ground":[75],"truths.":[76],"Our":[77,99],"study":[78],"shows":[79],"that":[80],"even":[81],"if":[82],"topology":[84],"is":[85,93,101,124],"mainly":[86],"respected,":[87],"morphology":[89],"vessels":[92],"not":[94],"gives":[96],"surprising":[97],"artefacts.":[98],"aim":[100],"to":[102,111],"provide":[103],"a":[104],"comparison":[105],"classical":[108],"algorithm":[110],"be":[112],"aware":[113],"advantages":[116],"drawbacks":[118],"those":[120],"implementations.":[121],"The":[122],"code":[123],"publicly":[125],"available":[126],"<sup":[127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[128,130],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>https://github.com/JyVi/Spooky_vascular_skeleton_benchmark":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}
