{"id":"https://openalex.org/W4387967970","doi":"https://doi.org/10.1145/3581783.3611718","title":"Cerebrovascular Segmentation in TOF-MRA with Topology Regularization Adversarial Model","display_name":"Cerebrovascular Segmentation in TOF-MRA with Topology Regularization Adversarial Model","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967970","doi":"https://doi.org/10.1145/3581783.3611718"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5100420548","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-4203-2145"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4203-2145","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015551771","display_name":"Yunqing Chen","orcid":"https://orcid.org/0000-0002-3504-8472"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqing Chen","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3504-8472","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731558","display_name":"Shuang Song","orcid":"https://orcid.org/0000-0003-3262-7898"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Song","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3262-7898","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020853087","display_name":"J Wang","orcid":"https://orcid.org/0009-0005-3189-3547"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Wang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-3189-3547","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790255","display_name":"Huansheng Ning","orcid":"https://orcid.org/0000-0001-6413-193X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huansheng Ning","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6413-193X","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052045981","display_name":"Ruoxiu Xiao","orcid":"https://orcid.org/0000-0002-2721-4813"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxiu Xiao","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2721-4813","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.6667,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71739329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4250","last_page":"4259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987999796867371,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.687259316444397},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6572381258010864},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6557320356369019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245057582855225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6153052449226379},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6048840284347534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49982786178588867},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49581894278526306},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4699661433696747},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43281638622283936},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42577916383743286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3203963041305542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25581979751586914}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.687259316444397},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6572381258010864},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6557320356369019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245057582855225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6153052449226379},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6048840284347534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49982786178588867},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49581894278526306},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4699661433696747},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43281638622283936},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42577916383743286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3203963041305542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25581979751586914},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1655563952","display_name":null,"funder_award_id":"FRF-TP-22-047A1","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G239681883","display_name":null,"funder_award_id":"2023M730226","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2651212656","display_name":null,"funder_award_id":"2020-JKCS-008","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6417476113","display_name":null,"funder_award_id":"62176268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6438028287","display_name":null,"funder_award_id":"2020-JKCS-008","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323137","display_name":"Chinese Academy of Medical Sciences","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320338467","display_name":"Major Scientific and Technological Project of Zhejiang Province","ror":null},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2015259521","https://openalex.org/W2464708700","https://openalex.org/W2622064152","https://openalex.org/W2955268453","https://openalex.org/W3034600949","https://openalex.org/W3035159724","https://openalex.org/W3042074344","https://openalex.org/W3085016271","https://openalex.org/W3090313818","https://openalex.org/W3101639073","https://openalex.org/W3129490616","https://openalex.org/W3130661843","https://openalex.org/W3132455321","https://openalex.org/W3136424010","https://openalex.org/W3174708193","https://openalex.org/W3194662286","https://openalex.org/W3194699675","https://openalex.org/W3216457818","https://openalex.org/W3216802946","https://openalex.org/W4212875960","https://openalex.org/W4214760846","https://openalex.org/W4224304145","https://openalex.org/W4283271083","https://openalex.org/W4283399238","https://openalex.org/W4283704557","https://openalex.org/W4287181769","https://openalex.org/W4292640859","https://openalex.org/W4312453532","https://openalex.org/W4320085508","https://openalex.org/W4323925299","https://openalex.org/W4379660275","https://openalex.org/W6600755281","https://openalex.org/W6610295226"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W2355833770","https://openalex.org/W3126451824","https://openalex.org/W2294590153"],"abstract_inverted_index":{"Time-of-flight":[0],"magnetic":[1],"resonance":[2],"angiography":[3],"(TOF-MRA)":[4],"is":[5,18],"a":[6,62,76],"common":[7],"cerebrovascular":[8,13,68,116],"imaging.":[9],"Accurate":[10],"and":[11,31,53,100,160],"automatic":[12],"segmentation":[14,36,69],"in":[15,23,47,70,84],"TOF-MRA":[16,71,85],"images":[17,86],"an":[19,102],"important":[20],"auxiliary":[21],"method":[22,138,154],"clinical":[24,167],"practice.":[25],"Due":[26],"to":[27,40,43,79,105,125,135],"the":[28,34,48,97,110,145,149],"complex":[29],"semantics":[30],"noise":[32],"interference,":[33],"existing":[35],"methods":[37],"often":[38],"fail":[39],"pay":[41],"attention":[42],"topological":[44,128],"correlation,":[45],"resulting":[46],"neglect":[49],"of":[50,112,115],"branch":[51],"vessels":[52],"vascular":[54],"topology":[55,63],"destruction.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,74,92,118],"proposed":[61,146],"regularization":[64],"adversarial":[65,103],"model":[66,78,99,104,147],"for":[67],"images.":[72],"Firstly,":[73],"trained":[75],"self-supervised":[77,98],"learn":[80],"spatial":[81],"semantic":[82],"layout":[83],"by":[87],"image":[88],"context":[89],"restoration.":[90],"Subsequently,":[91],"exploited":[93],"initialization":[94],"based":[95],"on":[96],"constructed":[101,131],"accomplish":[106],"parameter":[107],"optimization.":[108],"Considering":[109],"limitations":[111],"uneven":[113],"distribution":[114],"classes,":[117],"introduced":[119],"skeleton":[120],"structures":[121],"as":[122],"discriminative":[123],"features":[124],"enhance":[126],"vessel":[127],"strength.":[129],"We":[130],"some":[132],"latest":[133],"models":[134],"test":[136],"our":[137,153],"over":[139],"two":[140],"datasets.":[141],"Results":[142],"show":[143],"that":[144],"attains":[148],"highest":[150],"score.":[151],"Therefore,":[152],"can":[155],"obtain":[156],"accurate":[157],"connectivity":[158],"information":[159],"higher":[161],"graph":[162],"similarity,":[163],"leading":[164],"more":[165],"meaningful":[166],"utility.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
