乐胖代购免代理版

{"id":"https://openalex.org/W4298326410","doi":"https://doi.org/10.1007/s11548-022-02750-9","title":"Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients","display_name":"Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4298326410","doi":"https://doi.org/10.1007/s11548-022-02750-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/36181631"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02750-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02750-9.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02750-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009266943","display_name":"Leonhard Rist","orcid":"https://orcid.org/0000-0002-9589-3774"},"institutions":[],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Leonhard Rist","raw_affiliation_strings":["Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021951093","display_name":"Oliver Taubmann","orcid":"https://orcid.org/0000-0001-5668-8092"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthcare (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Taubmann","raw_affiliation_strings":["Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany"],"affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033636973","display_name":"Florian Thamm","orcid":"https://orcid.org/0000-0003-3079-5660"},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Thamm","raw_affiliation_strings":["Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014013366","display_name":"Hendrik Ditt","orcid":"https://orcid.org/0000-0002-6168-7403"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthcare (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik Ditt","raw_affiliation_strings":["Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany"],"affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064451296","display_name":"Michael S\u00fchling","orcid":"https://orcid.org/0000-0002-1060-3759"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthcare (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael S\u00fchling","raw_affiliation_strings":["Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany"],"affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Siemensstr. 3, Forchheim, 91301, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, FAU Erlangen-Nuernberg, Martensstrasse 3, Erlangen, 90156, Germany","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009266943"],"corresponding_institution_ids":[],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":0.522,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.523442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987,"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":0.9987,"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":0.9983,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9965,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.62178403},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5389036},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke","score":0.46936753},{"id":"https://openalex.org/keywords/magnetic-resonance-angiography","display_name":"Magnetic resonance angiography","score":0.46260867},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed Tomography Angiography","score":0.446371}],"concepts":[{"id":"https://openalex.org/C2781349735","wikidata":"https://www.wikidata.org/wiki/Q4904824","display_name":"Bifurcation","level":3,"score":0.7308793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624141},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.62178403},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5389036},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5162818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48022276},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.46936753},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.46529636},{"id":"https://openalex.org/C2778212899","wikidata":"https://www.wikidata.org/wiki/Q907325","display_name":"Magnetic resonance angiography","level":3,"score":0.46260867},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.446371},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.43748695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32495713},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.29965812},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2558443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16221005},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.08863601},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002533","descriptor_name":"Cerebral Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002533","descriptor_name":"Cerebral Angiography","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018810","descriptor_name":"Magnetic Resonance Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018810","descriptor_name":"Magnetic Resonance Angiography","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02750-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02750-9.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939487","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36181631","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02750-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02750-9.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320320873","funder_display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W137654030","https://openalex.org/W1981689827","https://openalex.org/W1986948114","https://openalex.org/W1994966878","https://openalex.org/W2049418804","https://openalex.org/W2113475904","https://openalex.org/W2119851068","https://openalex.org/W2261035264","https://openalex.org/W2315275639","https://openalex.org/W2803306216","https://openalex.org/W3060184237","https://openalex.org/W3090810709"],"related_works":["https://openalex.org/W4322723990","https://openalex.org/W3125011624","https://openalex.org/W2952760143","https://openalex.org/W2888673113","https://openalex.org/W2370917603","https://openalex.org/W2161834806","https://openalex.org/W2101228095","https://openalex.org/W2040462461","https://openalex.org/W2017776670","https://openalex.org/W1508631387"],"abstract_inverted_index":{"Vessel":[0],"labeling":[1,193],"is":[2],"a":[3,29,64,121,151,196],"prerequisite":[4],"for":[5,12,17,90,115,129,136,199],"comparing":[6],"cerebral":[7],"vasculature":[8],"across":[9],"patients,":[10],"e.g.,":[11],"straightened":[13],"vessel":[14,192,206],"examination":[15],"or":[16,38],"localization.":[18],"Extracting":[19],"vessels":[20,93,118,159],"from":[21,77,120],"computed":[22],"tomography":[23],"angiography":[24,53],"scans":[25],"may":[26],"come":[27],"with":[28],"trade-off":[30],"in":[31,73,144,164,173,189],"segmentation":[32],"accuracy.":[33],"Vessels":[34],"might":[35],"be":[36],"neglected":[37],"artificially":[39],"created,":[40],"increasing":[41],"the":[42,84,91,104,167,185,191],"difficulty":[43],"of":[44,83,86,94,146,153,160,166,184],"labeling.":[45],"Related":[46],"work":[47],"mainly":[48],"focuses":[49],"on":[50],"magnetic":[51],"resonance":[52],"without":[54],"stroke":[55,133],"and":[56,71,127,169,215],"uses":[57,212],"trainable":[58],"approaches":[59],"requiring":[60],"costly":[61],"labels.We":[62],"present":[63],"robust":[65],"method":[66],"to":[67,123],"identify":[68],"major":[69],"arteries":[70,186],"bifurcations":[72,82],"cerebrovascular":[74],"models":[75],"generated":[76],"existing":[78],"segmentations.":[79],"To":[80],"localize":[81],"Circle":[85],"Willis,":[87],"candidate":[88],"paths":[89,126],"adjacent":[92,117],"interest":[95,161],"are":[96,107,141,162,187],"identified":[97],"using":[98],"registered":[99],"landmarks.":[100],"From":[101],"those":[102],"paths,":[103],"optimal":[105],"ones":[106],"extracted":[108],"by":[109],"recursively":[110],"maximizing":[111],"an":[112],"objective":[113],"function":[114],"all":[116],"starting":[119],"bifurcation":[122,139,200],"avoid":[124],"erroneous":[125],"compensate":[128],"stroke.In":[130],"100":[131],"CTA":[132],"data":[134],"sets":[135],"evaluation,":[137],"6":[138],"locations":[140],"placed":[142],"correctly":[143,171],"85%":[145],"cases;":[147],"92.5%":[148],"when":[149],"allowing":[150],"margin":[152],"5":[154],"mm.":[155],"On":[156],"average,":[157],"14":[158],"found":[163],"90%":[165],"cases":[168],"traced":[170,188],"end-to-end":[172],"73.5%.":[174],"The":[175,208],"baseline":[176],"achieves":[177],"similar":[178],"detection":[179],"rates":[180],"but":[181],"only":[182,211],"35.5%":[183],"full.Formulating":[190],"process":[194],"as":[195],"maximization":[197],"task":[198],"matching":[201],"can":[202],"vastly":[203],"improve":[204],"accurate":[205],"tracing.":[207],"proposed":[209],"algorithm":[210],"simple":[213],"features":[214],"does":[216],"not":[217],"require":[218],"expensive":[219],"training":[220],"data.":[221]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4298326410","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-04-19T04:55:57.267015","created_date":"2022-10-02"}