{"id":"https://openalex.org/W4308067851","doi":"https://doi.org/10.1109/icip46576.2022.9897794","title":"BGSNet: Bidirectional-Guided Semi-3D Network for Prediction of Hematoma Expansion","display_name":"BGSNet: Bidirectional-Guided Semi-3D Network for Prediction of Hematoma Expansion","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308067851","doi":"https://doi.org/10.1109/icip46576.2022.9897794"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897794","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5100621579","display_name":"Qin Wan","orcid":"https://orcid.org/0000-0001-7688-5392"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Wan","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088522061","display_name":"Zhuo Kuang","orcid":"https://orcid.org/0000-0001-7009-2287"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Kuang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101592517","display_name":"Xianbo Deng","orcid":"https://orcid.org/0000-0001-7748-5825"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbo Deng","raw_affiliation_strings":["Huazhong University of Science and Technology,Tongji Medical College,Wuhan,China","Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Tongji Medical College,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054396268","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-0630-0405"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Electronic and Information Communications,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Electronic and Information Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100621579"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":2.3359,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87051793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1106","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9990000128746033,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.991100013256073,"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/T10028","display_name":"Topic Modeling","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47541719675064087},{"id":"https://openalex.org/keywords/hematoma","display_name":"Hematoma","score":0.4557402729988098},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09796878695487976},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07684910297393799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47541719675064087},{"id":"https://openalex.org/C2779662492","wikidata":"https://www.wikidata.org/wiki/Q468787","display_name":"Hematoma","level":2,"score":0.4557402729988098},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09796878695487976},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07684910297393799}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897794","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1965069494","https://openalex.org/W2147199549","https://openalex.org/W2359269788","https://openalex.org/W2464497605","https://openalex.org/W2761279809","https://openalex.org/W2771236480","https://openalex.org/W2949197413","https://openalex.org/W2963150162","https://openalex.org/W2963351448","https://openalex.org/W2963383024","https://openalex.org/W2963954913","https://openalex.org/W2979444991","https://openalex.org/W2985076077","https://openalex.org/W3025464397","https://openalex.org/W3089870586","https://openalex.org/W3128876534","https://openalex.org/W3164931079","https://openalex.org/W6631190155","https://openalex.org/W6728881024"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Hematoma":[0],"expansion":[1,35,78],"prediction":[2,79],"is":[3,16,91,158],"critical":[4],"for":[5,75,117],"the":[6,42,51,107,131,135,155],"prognostic":[7],"outcomes":[8],"of":[9,134,141,145,150],"patients":[10],"with":[11,80,99],"life-threatening":[12],"intracerebral":[13],"hemorrhage,":[14],"which":[15],"time-consuming":[17],"and":[18,50,124,147],"replies":[19],"on":[20,55,120],"experts\u2019":[21],"experience.":[22],"Though":[23],"deep":[24],"learning":[25],"based":[26,54],"approaches":[27],"have":[28],"greatly":[29],"reduced":[30],"labor":[31],"costs":[32],"in":[33,102,169],"hematoma":[34,77,86],"prediction,":[36],"there":[37],"still":[38],"exist":[39],"two":[40],"challenges:":[41],"high":[43],"computational":[44,82],"complexity":[45],"brought":[46],"by":[47],"3D-CNN-based":[48],"models,":[49],"poor":[52],"performance":[53,133],"single-modality":[56],"medical":[57,121],"imaging":[58,122],"data.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,111],"propose":[64,112],"a":[65,85,113,143,148],"bidirectional-guided":[66,114],"semi-3D":[67,88],"network,":[68],"named":[69],"BGSNet,":[70],"to":[71,93,162],"utilize":[72],"multi-modality":[73],"data":[74,123],"accurate":[76],"less":[81],"complexity.":[83],"Specifically,":[84],"attentive":[87],"(HAS)":[89],"module":[90],"constructed":[92],"extract":[94],"high-level":[95],"3D":[96,163],"visual":[97],"features":[98],"fewer":[100],"parameters":[101],"2D-CNN":[103],"level.":[104],"To":[105],"explore":[106],"potential":[108],"cross-modality":[109],"associations,":[110],"(BG)":[115],"strategy":[116],"joint":[118],"training":[119],"clinical":[125,170],"records":[126],"simultaneously.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"superior":[132],"proposed":[136,156],"framework,":[137],"achieving":[138],"an":[139],"accuracy":[140],"0.817,":[142],"recall":[144],"0.679,":[146],"specificity":[149],"0.864":[151],"respectively.":[152],"More":[153],"importantly,":[154],"framework":[157],"more":[159,167],"light-weight":[160],"compared":[161],"networks,":[164],"making":[165],"it":[166],"feasible":[168],"applications.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}