{"id":"https://openalex.org/W3105469062","doi":"https://doi.org/10.1145/3388440.3412470","title":"CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging","display_name":"CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3105469062","doi":"https://doi.org/10.1145/3388440.3412470","mag":"3105469062"},"language":"en","primary_location":{"id":"doi:10.1145/3388440.3412470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388440.3412470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.03002","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Luca Tomasetti","orcid":null},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Luca Tomasetti","raw_affiliation_strings":["University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kjersti Engan","orcid":null},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kjersti Engan","raw_affiliation_strings":["University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mahdieh Khanmohammadi","orcid":null},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Mahdieh Khanmohammadi","raw_affiliation_strings":["University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Department of Electrical Engineering and Computer Science, BMDLab Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kathinka D\u00e6hli Kurz","orcid":null},"institutions":[{"id":"https://openalex.org/I2800132241","display_name":"Stavanger University Hospital","ror":"https://ror.org/04zn72g03","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I2800132241"]},{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kathinka D\u00e6hli Kurz","raw_affiliation_strings":["Stavanger University Hospital, Stavanger medical imaging laboratory (SMIL), University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"Stavanger University Hospital, Stavanger medical imaging laboratory (SMIL), University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I2800132241","https://openalex.org/I92008406"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92008406"],"apc_list":null,"apc_paid":null,"fwci":0.2909,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62045311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9905999898910522,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9905999898910522,"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":0.5856000185012817},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.5690000057220459},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.5631999969482422},{"id":"https://openalex.org/keywords/perfusion-scanning","display_name":"Perfusion scanning","score":0.5019999742507935},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.42250001430511475},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3605000078678131},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.35830000042915344},{"id":"https://openalex.org/keywords/cerebral-infarction","display_name":"Cerebral infarction","score":0.3467999994754791},{"id":"https://openalex.org/keywords/perfusion","display_name":"Perfusion","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.733299970626831},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.5690000057220459},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5631999969482422},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.527400016784668},{"id":"https://openalex.org/C135691158","wikidata":"https://www.wikidata.org/wiki/Q7168308","display_name":"Perfusion scanning","level":3,"score":0.5019999742507935},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3986000120639801},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C2779450755","wikidata":"https://www.wikidata.org/wiki/Q1209150","display_name":"Cerebral infarction","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C3020166492","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Acute stroke","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C2777798775","wikidata":"https://www.wikidata.org/wiki/Q207550","display_name":"Infarction","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.31679999828338623},{"id":"https://openalex.org/C2780577055","wikidata":"https://www.wikidata.org/wiki/Q2069532","display_name":"Penumbra","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.2955999970436096},{"id":"https://openalex.org/C2779581417","wikidata":"https://www.wikidata.org/wiki/Q1931577","display_name":"Thrombolysis","level":3,"score":0.2896000146865845},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2986936838","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain tissue","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C2775841333","wikidata":"https://www.wikidata.org/wiki/Q498179","display_name":"Middle cerebral artery","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.2745000123977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2718999981880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C154281038","wikidata":"https://www.wikidata.org/wiki/Q629232","display_name":"Cerebral perfusion pressure","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3388440.3412470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388440.3412470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.03002","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.03002","pdf_url":"https://arxiv.org/pdf/2104.03002","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.03002","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.03002","pdf_url":"https://arxiv.org/pdf/2104.03002","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2065423367","https://openalex.org/W2080190646","https://openalex.org/W2107741047","https://openalex.org/W2121300729","https://openalex.org/W2124260943","https://openalex.org/W2143789330","https://openalex.org/W2159233098","https://openalex.org/W2419532403","https://openalex.org/W2806069072","https://openalex.org/W2944491145","https://openalex.org/W2946457696","https://openalex.org/W2962914239"],"related_works":[],"abstract_inverted_index":{"More":[0],"than":[1],"13":[2],"million":[3],"people":[4],"suffer":[5],"from":[6,111],"ischemic":[7],"cerebral":[8],"stroke":[9,37],"worldwide":[10],"each":[11],"year.":[12],"Thrombolytic":[13],"treatment":[14,23],"can":[15],"reduce":[16],"brain":[17],"damage":[18],"but":[19],"has":[20,69],"a":[21,30],"narrow":[22],"window.":[24],"Computed":[25],"Tomography":[26],"Perfusion":[27],"imaging":[28],"is":[29,95],"commonly":[31],"used":[32],"primary":[33],"assessment":[34],"tool":[35],"for":[36,84],"patients,":[38],"and":[39,56,74,77,115,127],"typically":[40],"the":[41,50,57,90,109,112,116],"radiologists":[42],"will":[43],"evaluate":[44],"resulting":[45],"parametric":[46,91,113],"maps":[47],"to":[48,63,103,107],"estimate":[49],"affected":[51],"areas,":[52],"dead":[53],"tissue":[54,59],"(core),":[55],"surrounding":[58],"at":[60],"risk":[61],"(penumbra),":[62],"decide":[64],"further":[65],"treatments.":[66],"Different":[67],"work":[68],"been":[70],"reported,":[71],"suggesting":[72],"thresholds,":[73],"semi-automated":[75],"methods,":[76],"in":[78,98,122],"later":[79],"years":[80],"deep":[81],"neural":[82],"networks,":[83],"segmenting":[85],"infarction":[86],"areas":[87],"based":[88],"on":[89],"maps.":[92],"However,":[93],"there":[94],"no":[96],"consensus":[97],"terms":[99,123],"of":[100,124],"which":[101],"thresholds":[102],"use,":[104],"or":[105],"how":[106],"combine":[108],"information":[110],"maps,":[114],"presented":[117],"methods":[118],"all":[119],"have":[120],"limitations":[121],"both":[125],"accuracy":[126],"reproducibility.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-11-23T00:00:00"}
