{"id":"https://openalex.org/W4323323091","doi":"https://doi.org/10.48550/arxiv.2303.01837","title":"A Hybrid Approach to Full-Scale Reconstruction of Renal Arterial Network","display_name":"A Hybrid Approach to Full-Scale Reconstruction of Renal Arterial Network","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4323323091","doi":"https://doi.org/10.48550/arxiv.2303.01837"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2303.01837","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.01837","pdf_url":"https://arxiv.org/pdf/2303.01837","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.01837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062873705","display_name":"Peidi Xu","orcid":"https://orcid.org/0000-0002-6102-604X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Peidi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015097155","display_name":"Niels\u2010Henrik Holstein\u2010Rathlou","orcid":"https://orcid.org/0000-0003-1683-3464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holstein-Rathlou, Niels-Henrik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077419021","display_name":"Stinne Byrholdt S\u00f8gaard","orcid":"https://orcid.org/0000-0002-1611-4585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S\u00f8gaard, Stinne Byrholdt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084008668","display_name":"Carsten Gundlach","orcid":"https://orcid.org/0000-0002-2895-1882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gundlach, Carsten","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068371728","display_name":"Charlotte Mehlin S\u00f8rensen","orcid":"https://orcid.org/0000-0002-9984-3125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S\u00f8rensen, Charlotte Mehlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039465110","display_name":"Kenny Erleben","orcid":"https://orcid.org/0000-0001-6808-4747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erleben, Kenny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032274861","display_name":"Olga Sosnovtseva","orcid":"https://orcid.org/0000-0001-7334-9869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sosnovtseva, Olga","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087093410","display_name":"Sune Darkner","orcid":"https://orcid.org/0000-0001-6114-7100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darkner, Sune","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5062873705"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":false,"primary_topic":{"id":"https://openalex.org/T12067","display_name":"Renal and Vascular Pathologies","score":0.977400004863739,"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"}},"topics":[{"id":"https://openalex.org/T12067","display_name":"Renal and Vascular Pathologies","score":0.977400004863739,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9632999897003174,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9337999820709229,"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":0.6744471788406372},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6229224801063538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4750347435474396},{"id":"https://openalex.org/keywords/renal-artery","display_name":"Renal artery","score":0.433992475271225},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4294784367084503},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.3949577808380127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34034860134124756},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16804686188697815},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12167957425117493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744471788406372},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6229224801063538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4750347435474396},{"id":"https://openalex.org/C2776634560","wikidata":"https://www.wikidata.org/wiki/Q707540","display_name":"Renal artery","level":3,"score":0.433992475271225},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4294784367084503},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.3949577808380127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34034860134124756},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16804686188697815},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12167957425117493}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2303.01837","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.01837","pdf_url":"https://arxiv.org/pdf/2303.01837","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/46153443-9b7f-4c0e-8125-5c12748146f3","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/46153443-9b7f-4c0e-8125-5c12748146f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Xu , P , Holstein-Rathlou , N H , S\u00f8gaard , S B , Gundlach , C , S\u00f8rensen , C M , Erleben , K , Sosnovtseva , O & Darkner , S 2023 , ' A hybrid approach to full-scale reconstruction of renal arterial network ' , Scientific Reports , vol. 13 , no. 1 , 7569 . https://doi.org/10.1038/s41598-023-34739-y","raw_type":"article"},{"id":"doi:10.48550/arxiv.2303.01837","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.01837","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.01837","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.01837","pdf_url":"https://arxiv.org/pdf/2303.01837","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4323323091.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2391251536","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2319387424","https://openalex.org/W3019031333","https://openalex.org/W2803381041","https://openalex.org/W2025519350"],"abstract_inverted_index":{"The":[0],"renal":[1,36,51,75,88],"vasculature,":[2],"acting":[3],"as":[4,107],"a":[5,69,79,104,108,126,139],"resource":[6],"distribution":[7],"network,":[8],"plays":[9],"an":[10,27],"important":[11],"role":[12],"in":[13],"both":[14],"the":[15,20,30,35,74,87,114,130],"physiology":[16],"and":[17,32,42,53,98,111,133,146],"pathophysiology":[18],"of":[19,29,34,50,73,86,95,100],"kidney.":[21],"However,":[22],"no":[23],"imaging":[24],"techniques":[25],"allow":[26],"assessment":[28],"structure":[31],"function":[33],"vasculature":[37],"due":[38],"to":[39,54,67,82,144],"limited":[40],"spatial":[41],"temporal":[43],"resolution.":[44],"To":[45],"develop":[46,55],"realistic":[47,70],"computer":[48],"simulations":[49],"function,":[52],"new":[56],"image-based":[57],"diagnostic":[58],"methods":[59],"based":[60],"on":[61],"artificial":[62],"intelligence,":[63],"it":[64],"is":[65],"necessary":[66],"have":[68],"full-scale":[71],"model":[72],"vasculature.":[76],"We":[77],"propose":[78],"hybrid":[80],"framework":[81],"build":[83],"subject-specific":[84],"models":[85],"vascular":[89],"network":[90],"by":[91,112],"using":[92],"semi-automated":[93],"segmentation":[94],"large":[96],"arteries":[97],"estimation":[99],"cortex":[101],"area":[102],"from":[103,138],"micro-CT":[105],"scan":[106],"starting":[109],"point,":[110],"adopting":[113],"Global":[115],"Constructive":[116],"Optimization":[117],"algorithm":[118],"for":[119],"generating":[120],"smaller":[121],"vessels.":[122],"Our":[123],"results":[124],"show":[125],"statistical":[127],"correspondence":[128],"between":[129],"reconstructed":[131],"data":[132,136],"existing":[134],"anatomical":[135],"obtained":[137],"rat":[140],"kidney":[141],"with":[142],"respect":[143],"morphometric":[145],"hemodynamic":[147],"parameters.":[148]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}