{"id":"https://openalex.org/W4377236326","doi":"https://doi.org/10.1145/3581807.3581816","title":"A 3D U-Net-Based Approach for Intracranial Aneurysm Detection","display_name":"A 3D U-Net-Based Approach for Intracranial Aneurysm Detection","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4377236326","doi":"https://doi.org/10.1145/3581807.3581816"},"language":"en","primary_location":{"id":"doi:10.1145/3581807.3581816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581807.3581816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581807.3581816","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581807.3581816","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101476434","display_name":"Tianyu Zhu","orcid":"https://orcid.org/0000-0002-5670-335X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5670-335X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085132119","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0001-6304-7189"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6304-7189","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768233","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0003-3332-2519"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3332-2519","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016664855","display_name":"Xiangsheng Li","orcid":"https://orcid.org/0000-0003-4980-829X"},"institutions":[{"id":"https://openalex.org/I4210141682","display_name":"Air Force General Hospital PLA","ror":"https://ror.org/042jtt364","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangsheng Li","raw_affiliation_strings":["Medical Imaging Department, Air Force Medical Center, PLA, China"],"raw_orcid":"https://orcid.org/0000-0003-4980-829X","affiliations":[{"raw_affiliation_string":"Medical Imaging Department, Air Force Medical Center, PLA, China","institution_ids":["https://openalex.org/I4210141682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000601742","display_name":"Maoshen Jia","orcid":"https://orcid.org/0000-0002-3452-3913"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoshen Jia","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3452-3913","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043912015","display_name":"Xiaoxia Chang","orcid":"https://orcid.org/0000-0002-1959-9645"},"institutions":[{"id":"https://openalex.org/I169071405","display_name":"Hebei North University","ror":"https://ror.org/03hqwnx39","country_code":"CN","type":"education","lineage":["https://openalex.org/I169071405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Chang","raw_affiliation_strings":["Graduate School, Hebei North University, China"],"raw_orcid":"https://orcid.org/0000-0002-1959-9645","affiliations":[{"raw_affiliation_string":"Graduate School, Hebei North University, China","institution_ids":["https://openalex.org/I169071405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101990898","display_name":"Yuan Meng","orcid":"https://orcid.org/0000-0003-0257-8394"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Meng","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0257-8394","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4049,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83547558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.9998999834060669,"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.9998999834060669,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9991000294685364,"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":0.9980000257492065,"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/magnetic-resonance-angiography","display_name":"Magnetic resonance angiography","score":0.6703526973724365},{"id":"https://openalex.org/keywords/aneurysm","display_name":"Aneurysm","score":0.6626148223876953},{"id":"https://openalex.org/keywords/lumen","display_name":"Lumen (anatomy)","score":0.6202328205108643},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5772198438644409},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5435757637023926},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5218597650527954},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.48846927285194397},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.46408841013908386},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.41137343645095825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31892019510269165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2979421317577362},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19264346361160278}],"concepts":[{"id":"https://openalex.org/C2778212899","wikidata":"https://www.wikidata.org/wiki/Q907325","display_name":"Magnetic resonance angiography","level":3,"score":0.6703526973724365},{"id":"https://openalex.org/C2776098176","wikidata":"https://www.wikidata.org/wiki/Q189389","display_name":"Aneurysm","level":2,"score":0.6626148223876953},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.6202328205108643},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5772198438644409},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5435757637023926},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5218597650527954},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48846927285194397},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.46408841013908386},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.41137343645095825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31892019510269165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2979421317577362},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19264346361160278},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581807.3581816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581807.3581816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581807.3581816","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581807.3581816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581807.3581816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581807.3581816","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321913","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87"},{"id":"https://openalex.org/F4320324051","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377236326.pdf","grobid_xml":"https://content.openalex.org/works/W4377236326.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2024832520","https://openalex.org/W2079856511","https://openalex.org/W2090190388","https://openalex.org/W2144338223","https://openalex.org/W2163466561","https://openalex.org/W2531115109","https://openalex.org/W2551562422","https://openalex.org/W2895926594","https://openalex.org/W2904807675","https://openalex.org/W2909646705","https://openalex.org/W2921924339","https://openalex.org/W3032650301"],"related_works":["https://openalex.org/W2384800030","https://openalex.org/W2463844247","https://openalex.org/W2058302834","https://openalex.org/W2414957343","https://openalex.org/W1995979536","https://openalex.org/W2402230822","https://openalex.org/W2037868411","https://openalex.org/W3151708306","https://openalex.org/W2045141538","https://openalex.org/W2365567861"],"abstract_inverted_index":{"Intracranial":[0],"aneurysm":[1],"refers":[2],"to":[3,41,56,78],"a":[4,13,104,123,177],"neoplastic":[5],"protrusion":[6],"of":[7,17,30,60,72,87,114,131,139,145,152,157,172],"the":[8,18,27,58,70,79,85,91,129,137,150,161,170],"arterial":[9],"wall":[10],"caused":[11],"by":[12,103],"localized":[14],"abnormal":[15],"enlargement":[16],"cerebral":[19],"artery":[20],"lumen.":[21],"In":[22,44,149],"clinical":[23],"practice,":[24],"patients":[25],"in":[26,90,147],"early":[28],"stage":[29],"onset":[31],"generally":[32],"have":[33],"no":[34],"obvious":[35],"symptoms,":[36],"which":[37,182],"is":[38],"very":[39],"easy":[40],"miss":[42],"diagnosis.":[43],"medicine,":[45],"methods":[46],"such":[47],"as":[48,118],"MRA,":[49],"CTA":[50],"and":[51,75,136,159,165,186],"DSA":[52],"can":[53,83],"be":[54],"used":[55,96],"display":[57,84],"images":[59,86,101],"blood":[61,88],"vessels.":[62],"Among":[63],"them,":[64],"magnetic":[65,107],"resonance":[66,108],"angiography":[67,109],"(MRA)":[68],"has":[69],"advantages":[71],"low":[73,178],"cost":[74],"small":[76],"damage":[77],"human":[80],"body.":[81],"Which":[82,141],"vessels":[89],"brain.":[92],"The":[93,111],"data":[94],"set":[95],"herein":[97],"was":[98,163,183],"based":[99],"on":[100],"provided":[102],"three-dimensional":[105],"time-of-flight":[106],"system.":[110],"main":[112],"contributions":[113],"this":[115,173],"paper":[116],"are":[117],"follows:":[119],"(1)":[120],"We":[121],"improved":[122],"classic":[124],"3D":[125],"U-Net":[126],"model":[127],"with":[128,154],"combination":[130],"attention":[132],"gate,":[133],"residual":[134],"connection,":[135],"changes":[138],"size.":[140],"achieved":[142,176],"automatic":[143],"segmentation":[144],"aneurysms":[146,153],"MRA.":[148],"detection":[151],"mean":[155],"diameters":[156],"6.10mm":[158],"7.69mm,":[160],"sensitivity":[162],"83.4%":[164],"86.4%":[166],"respectively.":[167,189],"(2)":[168],"On":[169],"basis":[171],"sensitivity,":[174],"we":[175],"false":[179],"positive":[180],"rate":[181],"0.36":[184],"FPs/case":[185,188],"0.34":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}