{"id":"https://openalex.org/W4402436587","doi":"https://doi.org/10.1109/tim.2024.3458059","title":"Automatic Diagnosis and Subtyping of Ischemic Stroke Based on a Multidimensional Deep Learning System","display_name":"Automatic Diagnosis and Subtyping of Ischemic Stroke Based on a Multidimensional Deep Learning System","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402436587","doi":"https://doi.org/10.1109/tim.2024.3458059"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3458059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3458059","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5023505987","display_name":"Xuewei Mao","orcid":"https://orcid.org/0000-0002-2300-5723"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewei Mao","raw_affiliation_strings":["School of Automation and the Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","School of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2300-5723","affiliations":[{"raw_affiliation_string":"School of Automation and the Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"School of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651866","display_name":"Wei Shan","orcid":"https://orcid.org/0000-0002-8616-2670"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210087691","display_name":"Beijing Tian Tan Hospital","ror":"https://ror.org/003regz62","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087691"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shan","raw_affiliation_strings":["Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8616-2670","affiliations":[{"raw_affiliation_string":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I4210087691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018438088","display_name":"Jinpeng Yu","orcid":"https://orcid.org/0000-0002-5432-1702"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Yu","raw_affiliation_strings":["School of Automation and the Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","School of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5432-1702","affiliations":[{"raw_affiliation_string":"School of Automation and the Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"School of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1828,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78469802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9269999861717224,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9269999861717224,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subtyping","display_name":"Subtyping","score":0.9488575458526611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5924423336982727},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4822483956813812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45805275440216064},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33095163106918335},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20629674196243286}],"concepts":[{"id":"https://openalex.org/C83852419","wikidata":"https://www.wikidata.org/wiki/Q2713292","display_name":"Subtyping","level":2,"score":0.9488575458526611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5924423336982727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4822483956813812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45805275440216064},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33095163106918335},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20629674196243286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3458059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3458059","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1710657440","display_name":null,"funder_award_id":"62403264","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"},{"id":"https://openalex.org/G4699572786","display_name":null,"funder_award_id":"20220484159","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G4853586701","display_name":null,"funder_award_id":"2022CXGC020901","funder_id":"https://openalex.org/F4320329863","funder_display_name":"Postdoctoral Innovation Project of Shandong Province"},{"id":"https://openalex.org/G6331895245","display_name":null,"funder_award_id":"82201504","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"},{"id":"https://openalex.org/G6421470455","display_name":null,"funder_award_id":"62473220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6584650465","display_name":null,"funder_award_id":"Z211100002121047","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G778890441","display_name":null,"funder_award_id":"23-2-1-119-zyyd-jch","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329863","display_name":"Postdoctoral Innovation Project of Shandong Province","ror":null},{"id":"https://openalex.org/F4320331088","display_name":"Natural Science Foundation for Young Scientists of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1664927784","https://openalex.org/W1929984647","https://openalex.org/W2069703221","https://openalex.org/W2093814225","https://openalex.org/W2157135059","https://openalex.org/W2220129321","https://openalex.org/W2332285323","https://openalex.org/W2418233705","https://openalex.org/W2488953036","https://openalex.org/W2572341261","https://openalex.org/W2760314420","https://openalex.org/W2803306216","https://openalex.org/W2891793399","https://openalex.org/W2909479956","https://openalex.org/W2912810649","https://openalex.org/W2914040405","https://openalex.org/W2916323829","https://openalex.org/W2921112006","https://openalex.org/W2923418412","https://openalex.org/W2976907604","https://openalex.org/W2979307665","https://openalex.org/W2979396152","https://openalex.org/W2998393945","https://openalex.org/W3015383111","https://openalex.org/W3040090744","https://openalex.org/W3081911348","https://openalex.org/W3114039321","https://openalex.org/W3128343154","https://openalex.org/W3136467361","https://openalex.org/W3136804573","https://openalex.org/W3168491317","https://openalex.org/W3210089899","https://openalex.org/W3214772416","https://openalex.org/W3215280593","https://openalex.org/W4200478585","https://openalex.org/W4214773122","https://openalex.org/W4249961951","https://openalex.org/W4281922870","https://openalex.org/W4282837177","https://openalex.org/W4293378269","https://openalex.org/W4297095638","https://openalex.org/W4317659928","https://openalex.org/W4319300571","https://openalex.org/W4396761083","https://openalex.org/W6769622434","https://openalex.org/W6777986256"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"The":[0,86],"classification":[1,143],"and":[2,44,74,144,146],"subtyping":[3,145],"of":[4,51,61,67,112,120,125],"ischemic":[5,52,141],"stroke":[6,53,142],"play":[7],"a":[8,27,48],"significant":[9],"role":[10],"in":[11,108,130,139,150],"therapeutic":[12],"decision-making,":[13],"which":[14],"leads":[15],"to":[16,46,81,92,102],"higher":[17],"requirements":[18],"on":[19,56],"the":[20,57,64,68,75,93,105,118,121,126,135],"infarct":[21],"lesion":[22],"location.":[23],"This":[24],"study":[25],"established":[26,136],"novel":[28],"deep":[29],"learning":[30],"system":[31],"(DLS)":[32],"integrating":[33],"four":[34,109],"different":[35],"models,":[36],"blood":[37],"supply,":[38],"border":[39],"zone,":[40],"brain":[41,153],"structure":[42],"atlas,":[43],"cortex,":[45],"provide":[47],"multidimensional":[49,88],"delineation":[50],"lesions.":[54],"Based":[55],"atlas":[58],"segmentation":[59],"logic":[60],"each":[62],"model,":[63],"output":[65],"channels":[66],"convolutional":[69],"neural":[70],"networks":[71],"were":[72,79],"rearranged,":[73],"image":[76,100],"preprocessing":[77],"parameters":[78],"optimized":[80],"achieve":[82],"faster":[83],"convergence":[84],"speed.":[85],"proposed":[87],"DLS":[89],"is":[90],"applied":[91],"magnetic":[94],"resonance":[95],"diffusion":[96],"weighted":[97],"imaging":[98],"(MRI-DWI)":[99],"examinations":[101],"accurately":[103],"locate":[104],"infarction":[106],"lesions":[107],"specific":[110],"types":[111],"territories.":[113],"Two":[114],"experienced":[115],"neuroradiologists":[116],"evaluate":[117],"performance":[119],"system.":[122],"About":[123],"90%":[124],"results":[127],"are":[128],"acceptable":[129],"clinical":[131],"evaluation":[132],"tests,":[133],"proving":[134],"system\u2019s":[137],"feasibility":[138],"comprehensive":[140],"its":[147],"further":[148],"potential":[149],"diagnosing":[151],"other":[152],"disorders.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}