{"id":"https://openalex.org/W4410297048","doi":"https://doi.org/10.1109/isbi60581.2025.10981229","title":"Unsupervised Anomaly Detection Framework for Coronary Artery Lesions in CTCA","display_name":"Unsupervised Anomaly Detection Framework for Coronary Artery Lesions in CTCA","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410297048","doi":"https://doi.org/10.1109/isbi60581.2025.10981229"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5000718330","display_name":"Dongwoo Kang","orcid":"https://orcid.org/0000-0001-7151-703X"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongwoo Kang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Hongik University,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Hongik University,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050558950","display_name":"Jaewon Choi","orcid":"https://orcid.org/0000-0001-9795-553X"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewon Choi","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Hongik University,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Hongik University,Seoul,South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101491780","display_name":"Jonghye Woo","orcid":"https://orcid.org/0000-0002-5621-9218"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonghye Woo","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School,Dept. of Radiology,Boston,MA,USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School,Dept. of Radiology,Boston,MA,USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["University of Southern California,Dept. of Electrical and Computer Engineering,Los Angeles,CA,USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Dept. of Electrical and Computer Engineering,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000718330"],"corresponding_institution_ids":["https://openalex.org/I94588446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18490531,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.8399999737739563,"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"}},"topics":[{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.8399999737739563,"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/T12979","display_name":"Cardiovascular Disease and Adiposity","score":0.7675999999046326,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.7008000016212463,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6615247130393982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47903934121131897},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.4330936074256897},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4258677661418915},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.4249143600463867},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.4198354184627533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295878767967224},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2903479337692261},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10801544785499573}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6615247130393982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47903934121131897},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.4330936074256897},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4258677661418915},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4249143600463867},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4198354184627533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295878767967224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2903479337692261},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10801544785499573},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964828756","https://openalex.org/W2002963704","https://openalex.org/W2010524512","https://openalex.org/W2072874640","https://openalex.org/W2073089137","https://openalex.org/W2096682736","https://openalex.org/W2886584550","https://openalex.org/W2987228832","https://openalex.org/W3163998281","https://openalex.org/W3165688950","https://openalex.org/W4220901568","https://openalex.org/W4323859455","https://openalex.org/W4379388985"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Coronary":[0],"artery":[1],"disease":[2],"is":[3],"a":[4,68,90,115],"leading":[5],"cause":[6],"of":[7,108],"mortality":[8],"world-wide,":[9],"emphasizing":[10],"the":[11,106],"need":[12],"for":[13,23,38,49],"accurate":[14],"and":[15,66,103,117],"efficient":[16],"detection":[17,26,52],"methods.":[18],"Current":[19],"deep":[20,69],"learning":[21],"approaches":[22],"coronary":[24,30,50],"lesion":[25,51,85],"in":[27,53],"computed":[28],"tomography":[29],"angiog-raphy":[31],"(CTCA)":[32],"rely":[33],"on":[34,74,81,89,98],"large":[35],"labeled":[36],"datasets":[37],"supervised":[39],"learning,":[40],"limiting":[41],"scalability.":[42],"This":[43],"study":[44],"proposes":[45],"an":[46],"unsu-pervised":[47],"framework":[48],"CTCA.":[54],"Using":[55],"vessel":[56],"linearization,":[57],"we":[58],"generated":[59],"small":[60],"linear":[61],"volume":[62],"patches":[63,76,109],"from":[64],"CTCA":[65],"trained":[67],"autoencoder":[70],"model,":[71],"MemAE,":[72],"exclusively":[73],"normal":[75],"to":[77],"detect":[78],"anomalies":[79],"based":[80],"reconstruction":[82,101,112],"error":[83,102],"without":[84],"location":[86],"labels.":[87],"Results":[88],"public":[91],"dataset":[92],"demonstrate":[93],"high":[94,111],"accuracy,":[95],"achieving":[96],"97.5%":[97],"per-patient":[99],"average":[100],"85%":[104],"using":[105],"number":[107],"with":[110],"error,":[113],"offering":[114],"scalable":[116],"accessible":[118],"solution.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
