{"id":"https://openalex.org/W7214970346","doi":"https://doi.org/10.1007/978-3-032-39382-1_2","title":"Semi-supervised Multi-output Segmentation of Type-B Aortic Dissection","display_name":"Semi-supervised Multi-output Segmentation of Type-B Aortic Dissection","publication_year":2026,"publication_date":"2026-09-30","ids":{"openalex":"https://openalex.org/W7214970346","doi":"https://doi.org/10.1007/978-3-032-39382-1_2"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-39382-1_2","doi":"https://doi.org/10.1007/978-3-032-39382-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-39382-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7214897449","display_name":"Pattern Recognition. ICPR 2026 International Workshops"},"type":"conference-paper","is_traditional":true,"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/A5034137924","display_name":"Denis Mikhailapov","orcid":"https://orcid.org/0009-0009-1105-4358","observed_orcids":["https://orcid.org/0009-0009-1105-4358"]},"institutions":[{"id":"https://openalex.org/I4210096862","display_name":"Sobolev Institute of Mathematics","ror":"https://ror.org/00shc0s02","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210096862","https://openalex.org/I4210124601","https://openalex.org/I4210127387"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Denis Mikhailapov","raw_affiliation_strings":["Sobolev Institute of Mathematics of the SB RAS, Novosibirsk, 630090, Russia"],"raw_orcid":"https://orcid.org/0009-0009-1105-4358","affiliations":[{"raw_affiliation_string":"Sobolev Institute of Mathematics of the SB RAS, Novosibirsk, 630090, Russia","institution_ids":["https://openalex.org/I4210096862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057139922","display_name":"Vladimir Berikov","orcid":"https://orcid.org/0000-0002-5207-9764","observed_orcids":["https://orcid.org/0000-0002-5207-9764"]},"institutions":[{"id":"https://openalex.org/I4210096862","display_name":"Sobolev Institute of Mathematics","ror":"https://ror.org/00shc0s02","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210096862","https://openalex.org/I4210124601","https://openalex.org/I4210127387"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladimir Berikov","raw_affiliation_strings":["Sobolev Institute of Mathematics of the SB RAS, Novosibirsk, 630090, Russia"],"raw_orcid":"https://orcid.org/0000-0002-5207-9764","affiliations":[{"raw_affiliation_string":"Sobolev Institute of Mathematics of the SB RAS, Novosibirsk, 630090, Russia","institution_ids":["https://openalex.org/I4210096862"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057139922"],"corresponding_institution_ids":["https://openalex.org/I4210096862"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9448000192642212,"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":0.9448000192642212,"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/T10618","display_name":"Aortic Disease and Treatment Approaches","score":0.014299999922513962,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10036","display_name":"Advanced Neural Network Applications","score":0.008899999782443047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/type-b-aortic-dissection","display_name":"type B aortic dissection","score":0.9879999756813049},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9959999918937683},{"id":"https://openalex.org/keywords/true-lumen","display_name":"true lumen","score":0.5559999942779541},{"id":"https://openalex.org/keywords/false-lumen","display_name":"false lumen","score":1.0},{"id":"https://openalex.org/keywords/false-lumen-thrombosis","display_name":"false lumen thrombosis","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ct-angiography","display_name":"CT angiography","score":0.7450000047683716},{"id":"https://openalex.org/keywords/3d-medical-image-segmentation","display_name":"3D medical image segmentation","score":0.8450000286102295},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.5569999814033508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8324000239372253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8069999814033508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7246999740600586},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5601999759674072},{"id":"https://openalex.org/C2779993142","wikidata":"https://www.wikidata.org/wiki/Q594660","display_name":"Aortic dissection","level":3,"score":0.5396999716758728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4345000088214874},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3837999999523163},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.2863999903202057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-39382-1_2","doi":"https://doi.org/10.1007/978-3-032-39382-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-39382-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6240000128746033}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2072698996","https://openalex.org/W2097229021","https://openalex.org/W2161722088","https://openalex.org/W2412782625","https://openalex.org/W2593634001","https://openalex.org/W2734349601","https://openalex.org/W2741549951","https://openalex.org/W2981232104","https://openalex.org/W3005650525","https://openalex.org/W3024821730","https://openalex.org/W3093025088","https://openalex.org/W3102943316","https://openalex.org/W3112326948","https://openalex.org/W3139279841","https://openalex.org/W3171816794","https://openalex.org/W3174699664","https://openalex.org/W3202045586","https://openalex.org/W3204025806","https://openalex.org/W3205995453","https://openalex.org/W4220955967","https://openalex.org/W4224246723","https://openalex.org/W4224989742","https://openalex.org/W4226502176","https://openalex.org/W4283800702","https://openalex.org/W4285293667","https://openalex.org/W4294674459","https://openalex.org/W4313291198","https://openalex.org/W4319866413","https://openalex.org/W4323924189","https://openalex.org/W4377713204","https://openalex.org/W4382358571","https://openalex.org/W4386075941","https://openalex.org/W4387211674","https://openalex.org/W4387831664","https://openalex.org/W4387910697","https://openalex.org/W4390561780","https://openalex.org/W4392184619","https://openalex.org/W4394777751","https://openalex.org/W4404840283","https://openalex.org/W4411699742","https://openalex.org/W4413989486"],"related_works":["https://openalex.org/W7117043353","https://openalex.org/W2810178789","https://openalex.org/W4404489363","https://openalex.org/W4405516999","https://openalex.org/W2981232104","https://openalex.org/W4360841419","https://openalex.org/W7155073224","https://openalex.org/W4392255474","https://openalex.org/W3206135325","https://openalex.org/W3112326948"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-01T00:00:00"}