{"id":"https://openalex.org/W2921571953","doi":"https://doi.org/10.1117/12.2507351","title":"Computerized identification of early ischemic changes in acute stroke in noncontrast CT using deep learning","display_name":"Computerized identification of early ischemic changes in acute stroke in noncontrast CT using deep learning","publication_year":2019,"publication_date":"2019-03-13","ids":{"openalex":"https://openalex.org/W2921571953","doi":"https://doi.org/10.1117/12.2507351","mag":"2921571953"},"language":"en","primary_location":{"id":"doi:10.1117/12.2507351","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2507351","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","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/A5022430625","display_name":"Noriyuki Takahashi","orcid":"https://orcid.org/0000-0001-8448-4919"},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyuki Takahashi","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063813216","display_name":"Yuki Shinohara","orcid":"https://orcid.org/0000-0001-6586-4086"},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Shinohara","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109351508","display_name":"Toshibumi Kinoshita","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshibumi Kinoshita","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000748148","display_name":"Tomomi Ohmura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomomi Ohmura","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072133852","display_name":"Keisuke Matsubara","orcid":"https://orcid.org/0000-0003-1823-1651"},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Matsubara","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109289903","display_name":"Yongbum Lee","orcid":"https://orcid.org/0000-0003-1242-7725"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yongbum Lee","raw_affiliation_strings":["Niigata Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Niigata Univ. (Japan)","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103637473","display_name":"Hideto Toyoshima","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087631","display_name":"Research Institute for Brain and Blood Vessels Akita","ror":"https://ror.org/003z23p70","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210087631"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideto Toyoshima","raw_affiliation_strings":["Research Institute for Brain and Blood Vessels - Akita (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Brain and Blood Vessels - Akita (Japan)","institution_ids":["https://openalex.org/I4210087631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9588,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75340222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9979000091552734,"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/insula","display_name":"Insula","score":0.559248685836792},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.4647969603538513},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4493286907672882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43916356563568115},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.369037926197052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24227288365364075},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1914757490158081},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15764844417572021}],"concepts":[{"id":"https://openalex.org/C104996578","wikidata":"https://www.wikidata.org/wiki/Q827617","display_name":"Insula","level":2,"score":0.559248685836792},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.4647969603538513},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4493286907672882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43916356563568115},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.369037926197052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24227288365364075},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1914757490158081},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15764844417572021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2507351","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2507351","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1992534855","https://openalex.org/W2089047925","https://openalex.org/W2139621750","https://openalex.org/W2146502635","https://openalex.org/W2148656951","https://openalex.org/W2153664287","https://openalex.org/W2171058244","https://openalex.org/W2345010043","https://openalex.org/W2621028221","https://openalex.org/W6681435938"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725"],"abstract_inverted_index":{"Treatment":[0],"for":[1,31,73,87,191],"patients":[2,149,154,220],"with":[3,40,150,155,221],"acute":[4,222],"ischemic":[5,24,223],"stroke":[6],"is":[7,29,35],"most":[8,69],"commonly":[9],"determined":[10],"based":[11],"on":[12,14,26,90],"findings":[13],"noncontrast":[15],"computerized":[16,46],"tomography":[17],"(CT).":[18],"Identifying":[19],"hypoattenuation":[20,39,56,67,193,211],"of":[21,77,81,84,95,99,130,147,178,183,189],"the":[22,58,62,91,100,109,128,131,139,195,206,213,217],"early":[23],"changes":[25],"CT":[27,114,121],"images":[28,86],"crucial":[30],"diagnosis.":[32],"However,":[33],"it":[34],"difficult":[36],"to":[37,54,108,138,208],"identify":[38,55,210],"certainty.":[41],"We":[42,134],"present":[43],"an":[44,175,180,186],"atlas-based":[45],"method":[47,75,137,163,173,204],"using":[48,144,166],"a":[49,118,145,167],"convolutional":[50],"neural":[51],"network":[52],"(CNN)":[53],"in":[57,127,194,212,219],"lentiform":[59,101,140,214],"nucleus":[60,102,141,215],"and":[61,93,103,142,158,185,216],"insula,":[63],"two":[64,196],"locations":[65],"where":[66],"appears":[68],"frequently.":[70],"The":[71,97],"algorithm":[72],"this":[74,136,202],"consisted":[76],"anatomic":[78],"standardization,":[79],"setting":[80],"regions,":[82],"creation":[83],"input":[85],"classification,":[88],"training":[89],"CNN":[92,132],"classification":[94,129],"hypoattenuation.":[96],"regions":[98],"insula":[104,143,218],"were":[105],"set":[106],"according":[107],"Alberta":[110],"Stroke":[111],"Programme":[112],"Early":[113],"score":[115],"(ASPECTS)":[116],"method,":[117],"visual":[119],"quantitative":[120],"scoring":[122],"system.":[123],"AlexNet":[124],"was":[125,164],"used":[126],"architecture.":[133],"applied":[135],"database":[146],"20":[148,153,159],"right-sided":[151],"hypoattenuation,":[152,157],"left-sided":[156],"normal":[160],"subjects.":[161],"Our":[162],"evaluated":[165],"leave-one-case-out":[168],"cross-validation":[169],"test.":[170],"This":[171],"new":[172,203],"had":[174],"average":[176,181,187],"accuracy":[177],"88.3%,":[179],"sensitivity":[182],"87.5%,":[184],"specificity":[188],"90%":[190],"identifying":[192],"regions.":[197],"These":[198],"results":[199],"indicate":[200],"that":[201],"has":[205],"potential":[207],"accurately":[209],"stroke.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
