{"id":"https://openalex.org/W4413752682","doi":"https://doi.org/10.1007/s10278-025-01612-5","title":"Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition","display_name":"Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W4413752682","doi":"https://doi.org/10.1007/s10278-025-01612-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/40866763"},"language":"en","primary_location":{"id":"doi:10.1007/s10278-025-01612-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-025-01612-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-025-01612-5.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10278-025-01612-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023949803","display_name":"G S Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gi-Youn Kim","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111215075","display_name":"Hyeon Sik Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon Sik Yang","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072344377","display_name":"Jundong Hwang","orcid":"https://orcid.org/0000-0001-9324-3922"},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jundong Hwang","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101604762","display_name":"Kijeong Lee","orcid":"https://orcid.org/0000-0001-6459-2365"},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijeong Lee","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101510554","display_name":"Jin Wook Choi","orcid":"https://orcid.org/0000-0002-2396-4705"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Wook Choi","raw_affiliation_strings":["Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044664640","display_name":"Woo\u2010Sang Jung","orcid":"https://orcid.org/0000-0001-7355-7684"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo Sang Jung","raw_affiliation_strings":["Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000191249","display_name":"Regina E. Y. Kim","orcid":"https://orcid.org/0000-0003-2578-0069"},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Regina Eun Young Kim","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334091","display_name":"Donghyeon Kim","orcid":"https://orcid.org/0000-0001-9222-1297"},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyeon Kim","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342775","display_name":"Minho Lee","orcid":"https://orcid.org/0000-0002-4821-0221"},"institutions":[{"id":"https://openalex.org/I4210095123","display_name":"The Seoul Institute","ror":"https://ror.org/00pnt8b91","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210095123"]},{"id":"https://openalex.org/I4210164563","display_name":"Neurology, Inc","ror":"https://ror.org/05ne0gd95","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210164563"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"Minho Lee","raw_affiliation_strings":["Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea. minho.lee@neurophet.com","Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4821-0221","affiliations":[{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea. minho.lee@neurophet.com","institution_ids":["https://openalex.org/I4210164563"]},{"raw_affiliation_string":"Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210095123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100342775"],"corresponding_institution_ids":["https://openalex.org/I4210095123","https://openalex.org/I4210164563"],"apc_list":null,"apc_paid":null,"fwci":0.8661,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76526138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"39","issue":"3","first_page":"2095","last_page":"2109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9973000288009644,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7534084320068359},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6188256144523621},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5006835460662842},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.484742134809494},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4724869132041931},{"id":"https://openalex.org/keywords/perfusion-scanning","display_name":"Perfusion scanning","score":0.43886011838912964},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4301319420337677},{"id":"https://openalex.org/keywords/perfusion","display_name":"Perfusion","score":0.37954795360565186},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3512645959854126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35040056705474854},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3479481339454651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34503069519996643},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.168337881565094},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15283745527267456}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7534084320068359},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6188256144523621},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5006835460662842},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.484742134809494},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4724869132041931},{"id":"https://openalex.org/C135691158","wikidata":"https://www.wikidata.org/wiki/Q7168308","display_name":"Perfusion scanning","level":3,"score":0.43886011838912964},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4301319420337677},{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.37954795360565186},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3512645959854126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35040056705474854},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3479481339454651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34503069519996643},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.168337881565094},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15283745527267456},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000083242","descriptor_name":"Ischemic Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000083242","descriptor_name":"Ischemic Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D002560","descriptor_name":"Cerebrovascular Circulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002560","descriptor_name":"Cerebrovascular Circulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009929","descriptor_name":"Organ Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009929","descriptor_name":"Organ Size","qualifier_ui":null,"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":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055420","descriptor_name":"Perfusion Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055420","descriptor_name":"Perfusion Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10278-025-01612-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-025-01612-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-025-01612-5.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","raw_type":"journal-article"},{"id":"pmid:40866763","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40866763","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_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":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging informatics in medicine","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13230423","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13230423/","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_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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging Inform Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10278-025-01612-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-025-01612-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-025-01612-5.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413752682.pdf","grobid_xml":"https://content.openalex.org/works/W4413752682.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1973965874","https://openalex.org/W2018577646","https://openalex.org/W2023537572","https://openalex.org/W2047232697","https://openalex.org/W2077261742","https://openalex.org/W2107741047","https://openalex.org/W2112824300","https://openalex.org/W2126896722","https://openalex.org/W2144760540","https://openalex.org/W2149860264","https://openalex.org/W2155982020","https://openalex.org/W2313339984","https://openalex.org/W2911964244","https://openalex.org/W2976206834","https://openalex.org/W2981398180","https://openalex.org/W2992022772","https://openalex.org/W3091187230","https://openalex.org/W3179469391","https://openalex.org/W3183255859","https://openalex.org/W4205407285","https://openalex.org/W4207023749","https://openalex.org/W4226325124","https://openalex.org/W4293581532","https://openalex.org/W4313814658","https://openalex.org/W4316019748","https://openalex.org/W4318205958","https://openalex.org/W4361267284","https://openalex.org/W4366534508","https://openalex.org/W4386264499","https://openalex.org/W4387860408","https://openalex.org/W4388936702","https://openalex.org/W4392454041","https://openalex.org/W4404127725"],"related_works":["https://openalex.org/W2467919609","https://openalex.org/W3032083687","https://openalex.org/W2383101986","https://openalex.org/W2471267301","https://openalex.org/W2467341106","https://openalex.org/W2385340480","https://openalex.org/W2133730772","https://openalex.org/W2015301357","https://openalex.org/W2361304792","https://openalex.org/W2382734415"],"abstract_inverted_index":{"Abstract":[0],"Volumetric":[1],"estimation":[2,227],"of":[3,17,71,120,138,166,193,228],"affected":[4,41,229],"brain":[5,42,230],"volumes":[6,170,231],"using":[7,232],"computed":[8],"tomography":[9],"perfusion":[10,112],"(CTP)":[11],"is":[12],"crucial":[13],"in":[14,33,234],"the":[15,116,121,148,152,186,207],"management":[16],"acute":[18],"ischemic":[19],"stroke":[20],"(AIS)":[21],"and":[22,45,61,87,114,178,199,222,241],"relies":[23],"on":[24,147],"commercial":[25,246],"software,":[26],"which":[27],"has":[28],"limitations":[29],"such":[30],"as":[31],"variations":[32],"results":[34,117],"due":[35],"to":[36,110,156,244],"image":[37],"quality.":[38],"To":[39],"predict":[40],"volume":[43],"accurately":[44],"robustly,":[46],"we":[47],"propose":[48],"a":[49,91,216],"hybrid":[50,218],"approach":[51,93],"that":[52],"integrates":[53],"singular":[54],"value":[55],"decomposition":[56],"(SVD),":[57],"deep":[58],"learning":[59,63],"(DL),":[60],"machine":[62],"(ML)":[64],"techniques.":[65],"We":[66,89,105,214],"included":[67],"449":[68],"CTP":[69,100,233],"images":[70],"patients":[72,235],"with":[73,75,118,171,236],"AIS":[74],"manually":[76],"annotated":[77],"vessel":[78,149],"landmarks":[79,98],"provided":[80],"by":[81],"expert":[82],"radiologists,":[83],"collected":[84],"between":[85],"2021":[86],"2023.":[88],"developed":[90,215],"CNN-based":[92],"for":[94,168,180,195,201,225],"predicting":[95],"eight":[96],"vascular":[97],"from":[99],"images,":[101],"integrating":[102],"ML":[103,153,187,223],"components.":[104],"then":[106],"used":[107],"SVD-related":[108],"methods":[109],"generate":[111],"maps":[113],"compared":[115,155,243],"those":[119],"RapidAI":[122],"software":[123],"(RapidAI,":[124],"Menlo":[125],"Park,":[126],"California).":[127],"The":[128],"proposed":[129],"CNN":[130],"model":[131,219],"achieved":[132,190,211],"an":[133],"average":[134],"Euclidean":[135],"distance":[136],"error":[137],"4.63":[139],"$$\\pm$$":[140],"<mml:math":[141],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[142],"<mml:mo>\u00b1</mml:mo>":[143],"</mml:math>":[144],"2.00":[145],"mm":[146],"localization.":[150],"Without":[151],"components,":[154],"RapidAI,":[157],"our":[158],"method":[159],"yielded":[160],"concordance":[161],"correlation":[162],"coefficient":[163],"(CCC)":[164],"scores":[165,192],"0.898":[167],"estimating":[169],"cerebral":[172],"blood":[173],"flow":[174],"(CBF)":[175],"&lt;":[176,197],"30%":[177,198],"0.715":[179],"Tmax":[181,202],"&gt;":[182,203],"6":[183,204],"s.":[184,205],"Using":[185],"method,":[188],"it":[189,210],"CCC":[191],"0.905":[194],"CBF":[196],"0.879":[200],"For":[206],"data":[208],"assessment,":[209],"0.8":[212],"accuracy.":[213],"robust":[217],"combining":[220],"DL":[221],"techniques":[224],"volumetric":[226],"AIS,":[237],"demonstrating":[238],"improved":[239],"accuracy":[240],"robustness":[242],"existing":[245],"solutions.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}