{"id":"https://openalex.org/W3021654843","doi":"https://doi.org/10.1109/tmi.2020.2992546","title":"Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning","display_name":"Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning","publication_year":2020,"publication_date":"2020-05-05","ids":{"openalex":"https://openalex.org/W3021654843","doi":"https://doi.org/10.1109/tmi.2020.2992546","mag":"3021654843","pmid":"https://pubmed.ncbi.nlm.nih.gov/32386147"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.2992546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2992546","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.03227","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021307773","display_name":"Hengyuan Kang","orcid":"https://orcid.org/0000-0002-3454-0078"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyuan Kang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3454-0078","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028116005","display_name":"Liming Xia","orcid":"https://orcid.org/0000-0001-8481-3380"},"institutions":[{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Xia","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I4210160344","https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085984788","display_name":"Fuhua Yan","orcid":"https://orcid.org/0000-0002-5910-1506"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhua Yan","raw_affiliation_strings":["Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I2801556517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045894956","display_name":"Zhibin Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Wan","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044868467","display_name":"Feng Shi","orcid":"https://orcid.org/0000-0003-1522-9943"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shi","raw_affiliation_strings":["Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1522-9943","affiliations":[{"raw_affiliation_string":"Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112528149","display_name":"Huan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Yuan","raw_affiliation_strings":["Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062099441","display_name":"Huiting Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiting Jiang","raw_affiliation_strings":["Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074384370","display_name":"Dijia Wu","orcid":"https://orcid.org/0000-0002-0636-9912"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dijia Wu","raw_affiliation_strings":["Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0636-9912","affiliations":[{"raw_affiliation_string":"Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019679816","display_name":"He Sui","orcid":"https://orcid.org/0000-0002-4932-0502"},"institutions":[{"id":"https://openalex.org/I1318643470","display_name":"Union Hospital","ror":"https://ror.org/01j7r2734","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1318643470"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Sui","raw_affiliation_strings":["Department of Radiology, China\u2013Japan Union Hospital of Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, China\u2013Japan Union Hospital of Jilin University, Changchun, China","institution_ids":["https://openalex.org/I1318643470","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604573","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0003-1410-6650"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1410-6650","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"Department of Research and Development, Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.1838,"has_fulltext":false,"cited_by_count":269,"citation_normalized_percentile":{"value":0.99601888,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"39","issue":"8","first_page":"2606","last_page":"2614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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/T10862","display_name":"AI in cancer detection","score":0.9902999997138977,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8768230080604553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6952796578407288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598573923110962},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6173934936523438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5114501714706421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5091668963432312},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4996657371520996},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4361308813095093},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.335502028465271},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2807677388191223},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.17939236760139465},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17913082242012024},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.11912813782691956}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8768230080604553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6952796578407288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598573923110962},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6173934936523438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5114501714706421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5091668963432312},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4996657371520996},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4361308813095093},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.335502028465271},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2807677388191223},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.17939236760139465},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17913082242012024},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11912813782691956},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073640","descriptor_name":"Betacoronavirus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073640","descriptor_name":"Betacoronavirus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073640","descriptor_name":"Betacoronavirus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011024","descriptor_name":"Pneumonia, Viral","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011024","descriptor_name":"Pneumonia, Viral","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011024","descriptor_name":"Pneumonia, Viral","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018352","descriptor_name":"Coronavirus Infections","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D018352","descriptor_name":"Coronavirus Infections","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D018352","descriptor_name":"Coronavirus Infections","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2020.2992546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2992546","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:32386147","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32386147","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2005.03227","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03227","pdf_url":"https://arxiv.org/pdf/2005.03227","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.03227","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03227","pdf_url":"https://arxiv.org/pdf/2005.03227","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2561744925","display_name":null,"funder_award_id":"61976151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2853090662","display_name":null,"funder_award_id":"Grant 61732011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4600748250","display_name":null,"funder_award_id":"2018YFC0116400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6704021317","display_name":null,"funder_award_id":"2018YFC0116400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6813436119","display_name":null,"funder_award_id":"61732011","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1670132599","https://openalex.org/W2014418634","https://openalex.org/W2108598243","https://openalex.org/W2138584058","https://openalex.org/W2187089797","https://openalex.org/W2339611570","https://openalex.org/W2344823654","https://openalex.org/W2551492216","https://openalex.org/W2560014990","https://openalex.org/W2620350742","https://openalex.org/W2741998188","https://openalex.org/W2788633781","https://openalex.org/W2811374795","https://openalex.org/W2901954625","https://openalex.org/W2919115771","https://openalex.org/W2962914239","https://openalex.org/W2970947021","https://openalex.org/W2998789541","https://openalex.org/W3003573988","https://openalex.org/W3004668429","https://openalex.org/W3004906315","https://openalex.org/W3005272159","https://openalex.org/W3005879071","https://openalex.org/W3006882119","https://openalex.org/W3007170347","https://openalex.org/W3007273493","https://openalex.org/W3007764760","https://openalex.org/W3007940623","https://openalex.org/W3008985036","https://openalex.org/W3009875419","https://openalex.org/W3010278110","https://openalex.org/W3011041531","https://openalex.org/W3014725478","https://openalex.org/W3036029926","https://openalex.org/W3037538421","https://openalex.org/W3104810384","https://openalex.org/W3129576291","https://openalex.org/W4206211383","https://openalex.org/W4298263839","https://openalex.org/W6636883489","https://openalex.org/W6767380147","https://openalex.org/W6773675225","https://openalex.org/W6774807847","https://openalex.org/W6948179336","https://openalex.org/W6966950452"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W4297676672","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Recently,":[0],"the":[1,12,16,40,46,63,72,122,144,178,192,207],"outbreak":[2],"of":[3,19,42,62,74,79,110,129,137,165,180,209],"Coronavirus":[4],"Disease":[5],"2019":[6],"(COVID-19)":[7],"has":[8,53],"spread":[9],"rapidly":[10],"across":[11],"world.":[13],"Due":[14],"to":[15,70,148,177],"large":[17,158],"number":[18,208],"infected":[20],"patients":[21],"and":[22,36,44,112,155,199],"heavy":[23],"labor":[24],"for":[25,60,119,134],"doctors,":[26],"computer-aided":[27],"diagnosis":[28,47,61,73],"with":[29,76,115,126],"machine":[30],"learning":[31],"algorithm":[32],"is":[33,100,113,124,146,160],"urgently":[34],"needed,":[35],"could":[37],"largely":[38],"reduce":[39],"efforts":[41],"clinicians":[43],"accelerate":[45],"process.":[48],"Chest":[49],"computed":[50],"tomography":[51],"(CT)":[52],"been":[54],"recognized":[55],"as":[56],"an":[57],"informative":[58],"tool":[59],"disease.":[64],"In":[65,167],"this":[66,168],"study,":[67],"we":[68],"propose":[69],"conduct":[71],"COVID-19":[75],"a":[77,96,127,157],"series":[78],"features":[80,89,111,184],"extracted":[81],"from":[82,93,107],"CT":[83,91],"images.":[84],"To":[85],"fully":[86],"explore":[87],"multiple":[88],"describing":[90],"images":[92],"different":[94,108,163],"views,":[95],"unified":[97],"latent":[98],"representation":[99,145],"learned":[101],"which":[102],"can":[103,172],"completely":[104],"encode":[105],"information":[106],"aspects":[109],"endowed":[114],"promising":[116],"class":[117,142],"structure":[118],"separability.":[120],"Specifically,":[121],"completeness":[123],"guaranteed":[125,161],"group":[128],"backward":[130],"neural":[131],"networks":[132],"(each":[133],"one":[135],"type":[136],"features),":[138],"while":[139],"by":[140],"using":[141],"labels":[143],"enforced":[147],"be":[149],"compact":[150],"within":[151],"COVID-19/community-acquired":[152],"pneumonia":[153],"(CAP)":[154],"also":[156],"margin":[159],"between":[162],"types":[164],"pneumonia.":[166],"way,":[169],"our":[170],"model":[171],"well":[173],"avoid":[174],"overfitting":[175],"compared":[176],"case":[179],"directly":[181],"projecting":[182],"high-dimensional":[183],"into":[185],"classes.":[186],"Extensive":[187],"experimental":[188],"results":[189],"show":[190],"that":[191],"proposed":[193],"method":[194],"outperforms":[195],"all":[196],"comparison":[197],"methods,":[198],"rather":[200],"stable":[201],"performances":[202],"are":[203],"observed":[204],"when":[205],"varying":[206],"training":[210],"data.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":104},{"year":2020,"cited_by_count":55}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}