{"id":"https://openalex.org/W4387211894","doi":"https://doi.org/10.1007/978-3-031-43898-1_23","title":"A Model-Agnostic Framework for\u00a0Universal Anomaly Detection of\u00a0Multi-organ and\u00a0Multi-modal Images","display_name":"A Model-Agnostic Framework for\u00a0Universal Anomaly Detection of\u00a0Multi-organ and\u00a0Multi-modal Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387211894","doi":"https://doi.org/10.1007/978-3-031-43898-1_23"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-43898-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-43898-1_23","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,"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"},"type":"book-chapter","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/A5101638514","display_name":"Yinghao Zhang","orcid":"https://orcid.org/0009-0007-5165-4898"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghao Zhang","raw_affiliation_strings":["National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014222179","display_name":"Donghuan Lu","orcid":"https://orcid.org/0000-0002-8399-7410"},"institutions":[{"id":"https://openalex.org/I4210103558","display_name":"Tencent Healthcare (China)","ror":"https://ror.org/019xckf23","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghuan Lu","raw_affiliation_strings":["Tencent Healthcare Co., Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Healthcare Co., Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I4210103558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058644424","display_name":"Munan Ning","orcid":"https://orcid.org/0009-0005-3418-085X"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Munan Ning","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459790","display_name":"Dong Wei","orcid":"https://orcid.org/0000-0001-5969-6987"},"institutions":[{"id":"https://openalex.org/I4210103558","display_name":"Tencent Healthcare (China)","ror":"https://ror.org/019xckf23","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wei","raw_affiliation_strings":["Tencent Healthcare Co., Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Healthcare Co., Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I4210103558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I4210103558","display_name":"Tencent Healthcare (China)","ror":"https://ror.org/019xckf23","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Healthcare Co., Jarvis Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Healthcare Co., Jarvis Lab, Shenzhen, China","institution_ids":["https://openalex.org/I4210103558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100613491"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0665,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79501163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9945999979972839,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/computer-science","display_name":"Computer science","score":0.8244096040725708},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.701339840888977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851277351379395},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5952030420303345},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5824316740036011},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5336576104164124},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4858798384666443},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47747230529785156},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44038042426109314},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4368341267108917},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41808009147644043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4106752872467041},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4106364846229553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3977871835231781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8244096040725708},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.701339840888977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851277351379395},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5952030420303345},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5824316740036011},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5336576104164124},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4858798384666443},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47747230529785156},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44038042426109314},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4368341267108917},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41808009147644043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4106752872467041},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4106364846229553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977871835231781},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-43898-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-43898-1_23","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,"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/8","score":0.5,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2783748519","https://openalex.org/W2789863594","https://openalex.org/W2809891684","https://openalex.org/W2892341857","https://openalex.org/W2914570111","https://openalex.org/W2925312408","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2963351448","https://openalex.org/W2970971581","https://openalex.org/W2987228832","https://openalex.org/W3045459094","https://openalex.org/W3105939760","https://openalex.org/W3189108671","https://openalex.org/W3213233983","https://openalex.org/W6600041127","https://openalex.org/W6600281463","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}