{"id":"https://openalex.org/W4224980337","doi":"https://doi.org/10.1109/isbi52829.2022.9761591","title":"Learning Left Main Bifurcation Shape Features with an Autoencoder","display_name":"Learning Left Main Bifurcation Shape Features with an Autoencoder","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224980337","doi":"https://doi.org/10.1109/isbi52829.2022.9761591"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761591","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://unsworks.unsw.edu.au/bitstreams/d1c43d3f-8a1a-467d-919a-1fa61ed38aab/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070482922","display_name":"Nanway Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nanway Chen","raw_affiliation_strings":["University of New South Wales,School of Mechanical and Manufacturing Engineering","School of Mechanical and Manufacturing Engineering, University of New South Wales"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Mechanical and Manufacturing Engineering","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering, University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024811638","display_name":"Ramtin Gharleghi","orcid":"https://orcid.org/0000-0001-7478-2920"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ramtin Gharleghi","raw_affiliation_strings":["University of New South Wales,School of Mechanical and Manufacturing Engineering","School of Mechanical and Manufacturing Engineering, University of New South Wales"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Mechanical and Manufacturing Engineering","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering, University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055952724","display_name":"Arcot Sowmya","orcid":"https://orcid.org/0000-0001-9236-5063"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arcot Sowmya","raw_affiliation_strings":["University of New South Wales,School of Computer Science and Engineering","School of Computer Science and Engineering, University of New South Wales"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044217298","display_name":"Susann Beier","orcid":"https://orcid.org/0000-0002-9815-108X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Susann Beier","raw_affiliation_strings":["University of New South Wales,School of Mechanical and Manufacturing Engineering","School of Mechanical and Manufacturing Engineering, University of New South Wales"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Mechanical and Manufacturing Engineering","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering, University of New South Wales","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070482922"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11908078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/autoencoder","display_name":"Autoencoder","score":0.8280051946640015},{"id":"https://openalex.org/keywords/bifurcation","display_name":"Bifurcation","score":0.7310034036636353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356103777885437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5114730596542358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3886529207229614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3389667868614197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2865859270095825},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2775833308696747},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.08297139406204224}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8280051946640015},{"id":"https://openalex.org/C2781349735","wikidata":"https://www.wikidata.org/wiki/Q4904824","display_name":"Bifurcation","level":3,"score":0.7310034036636353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356103777885437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5114730596542358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3886529207229614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3389667868614197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2865859270095825},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2775833308696747},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.08297139406204224},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761591","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_81256","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.4/unsworks_81256","pdf_url":"https://unsworks.unsw.edu.au/bitstreams/d1c43d3f-8a1a-467d-919a-1fa61ed38aab/download","source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), INDIA, Kolkata, 2022-03-28 - 2022-03-31","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_81256","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.4/unsworks_81256","pdf_url":"https://unsworks.unsw.edu.au/bitstreams/d1c43d3f-8a1a-467d-919a-1fa61ed38aab/download","source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), INDIA, Kolkata, 2022-03-28 - 2022-03-31","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6100000143051147,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320776","display_name":"Auckland Medical Research Foundation","ror":"https://ror.org/05wtegv53"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224980337.pdf","grobid_xml":"https://content.openalex.org/works/W4224980337.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W1981386994","https://openalex.org/W1986406470","https://openalex.org/W2005569745","https://openalex.org/W2165023525","https://openalex.org/W2317089366","https://openalex.org/W2518799190","https://openalex.org/W2560609797","https://openalex.org/W2796426482","https://openalex.org/W2898520770","https://openalex.org/W2949671016","https://openalex.org/W3026630178","https://openalex.org/W6640963894","https://openalex.org/W6748208425","https://openalex.org/W6749757727","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4220775285","https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Geometric":[0],"characteristics":[1,19],"of":[2,17,48,54,81,114,141,144,166],"the":[3,49,55,65,93],"coronary":[4,56],"arteries":[5],"have":[6],"been":[7],"suggested":[8],"as":[9],"potential":[10],"markers":[11],"for":[12],"disease":[13],"risk.":[14],"However,":[15],"evaluation":[16],"such":[18],"rely":[20],"on":[21,64,104],"judgement":[22],"by":[23,88],"human":[24],"experts,":[25],"and":[26,30,127],"are":[27],"thus":[28],"variable":[29],"may":[31],"lack":[32],"sophistication.":[33],"Here":[34],"we":[35],"apply":[36],"recent":[37],"advances":[38],"in":[39,73,111,156],"3D":[40],"deep":[41],"learning":[42],"to":[43,68,147],"automatically":[44],"obtain":[45],"shape":[46,71],"representation":[47],"Left":[50],"Main":[51],"Bifurcation":[52],"(LMB)":[53],"artery.":[57],"We":[58,98],"train":[59],"a":[60,74,135,167],"Variational":[61],"Auto-Encoder":[62],"based":[63],"FoldingNet":[66],"architecture":[67],"encode":[69],"LMB":[70,168],"features":[72,80,110],"450-dimension":[75],"feature":[76,94],"vector.":[77],"The":[78],"geometric":[79],"patient-specific":[82],"LMBs":[83],"can":[84,152],"then":[85],"be":[86,154],"manipulated":[87],"modifying,":[89],"combining":[90],"or":[91,121],"interpolating":[92],"vectors":[95],"before":[96],"decoding.":[97],"also":[99,153],"show":[100],"that":[101],"these":[102],"vectors,":[103],"average,":[105],"perform":[106],"better":[107],"than":[108],"hand-crafted":[109],"predicting":[112],"measures":[113],"adverse":[115],"blood":[116],"flow":[117],"(oscillating":[118],"shear":[119,131],"index":[120],"\u2018OSI\u2019,":[122],"relative":[123],"residence":[124],"time":[125,128],"\u2018RRT\u2019":[126],"averaged":[129],"wall":[130],"stress":[132],"\u2018TAWSS\u2019)":[133],"with":[134],"R":[136],"<sup":[137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[139],"goodness":[140],"fit":[142],"value":[143],"84.1%":[145],"compared":[146],"79.7%.":[148],"These":[149],"learned":[150],"representations":[151],"used":[155],"other":[157],"downstream":[158],"predictive":[159],"modelling":[160],"tasks":[161],"where":[162],"an":[163],"encoded":[164],"version":[165],"is":[169],"needed.":[170]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}