{"id":"https://openalex.org/W2934708523","doi":"https://doi.org/10.1109/tmi.2022.3153322","title":"ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays","display_name":"ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays","publication_year":2022,"publication_date":"2022-02-22","ids":{"openalex":"https://openalex.org/W2934708523","doi":"https://doi.org/10.1109/tmi.2022.3153322","mag":"2934708523","pmid":"https://pubmed.ncbi.nlm.nih.gov/35192461"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3153322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3153322","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/1904.00325","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074672910","display_name":"Chengsheng Mao","orcid":"https://orcid.org/0000-0002-1515-9626"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengsheng Mao","raw_affiliation_strings":["Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-1515-9626","affiliations":[{"raw_affiliation_string":"Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101613727","display_name":"Liang Yao","orcid":"https://orcid.org/0000-0002-8637-0760"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Yao","raw_affiliation_strings":["Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-8637-0760","affiliations":[{"raw_affiliation_string":"Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452550","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0003-0195-7456"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":10.6352,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.99005383,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"41","issue":"8","first_page":"1990","last_page":"2003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9968000054359436,"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":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243874669075012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181282043457031},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6716889142990112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6337328553199768},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6207219958305359},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5337755680084229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5185006856918335},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5173389315605164},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.500354528427124},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4717482030391693},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4222736060619354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4138995409011841},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1490631103515625}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243874669075012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181282043457031},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6716889142990112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6337328553199768},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6207219958305359},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5337755680084229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5185006856918335},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5173389315605164},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.500354528427124},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4717482030391693},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4222736060619354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4138995409011841},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1490631103515625},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2022.3153322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3153322","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:35192461","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35192461","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:1904.00325","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00325","pdf_url":"https://arxiv.org/pdf/1904.00325","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},{"id":"pmh:oai:pubmedcentral.nih.gov:9367633","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9367633","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.00325","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.00325","pdf_url":"https://arxiv.org/pdf/1904.00325","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"awards":[{"id":"https://openalex.org/G1629986891","display_name":null,"funder_award_id":"R01 GM105688","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G2996462631","display_name":null,"funder_award_id":"5UL1TR001422","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3022260635","display_name":null,"funder_award_id":"U01TR003528","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4191436871","display_name":null,"funder_award_id":"R01 LM013337","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G456172639","display_name":null,"funder_award_id":"UL1 TR001422","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G4685174425","display_name":null,"funder_award_id":"R21 LM012618","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G5930967413","display_name":null,"funder_award_id":"R01LM013337","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6218964800","display_name":null,"funder_award_id":"R21LM012618","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6233336011","display_name":null,"funder_award_id":"U01 TR003528","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1752064231","https://openalex.org/W1836465849","https://openalex.org/W1994488211","https://openalex.org/W1996579832","https://openalex.org/W2050964073","https://openalex.org/W2057508887","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2290847742","https://openalex.org/W2295107390","https://openalex.org/W2557074642","https://openalex.org/W2558460151","https://openalex.org/W2558748708","https://openalex.org/W2581887665","https://openalex.org/W2604314403","https://openalex.org/W2606780347","https://openalex.org/W2607264901","https://openalex.org/W2607855566","https://openalex.org/W2611650229","https://openalex.org/W2624407581","https://openalex.org/W2751808960","https://openalex.org/W2756897662","https://openalex.org/W2765312638","https://openalex.org/W2768252147","https://openalex.org/W2770241596","https://openalex.org/W2770384498","https://openalex.org/W2770468159","https://openalex.org/W2786016794","https://openalex.org/W2788537604","https://openalex.org/W2793854008","https://openalex.org/W2884149198","https://openalex.org/W2885373832","https://openalex.org/W2886327376","https://openalex.org/W2889730211","https://openalex.org/W2890531016","https://openalex.org/W2892094955","https://openalex.org/W2897806204","https://openalex.org/W2912503608","https://openalex.org/W2932399282","https://openalex.org/W2946236639","https://openalex.org/W2962708065","https://openalex.org/W2962767366","https://openalex.org/W2962810718","https://openalex.org/W2962838801","https://openalex.org/W2962946486","https://openalex.org/W2962967746","https://openalex.org/W2962975664","https://openalex.org/W2963052338","https://openalex.org/W2963184176","https://openalex.org/W2963281829","https://openalex.org/W2963312728","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963486920","https://openalex.org/W2963532541","https://openalex.org/W2963630186","https://openalex.org/W2963653811","https://openalex.org/W2963695795","https://openalex.org/W2963867952","https://openalex.org/W2963942157","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964121744","https://openalex.org/W2964145825","https://openalex.org/W2964321699","https://openalex.org/W2966580510","https://openalex.org/W2995225687","https://openalex.org/W3024371423","https://openalex.org/W3047443805","https://openalex.org/W3094433718","https://openalex.org/W3095689340","https://openalex.org/W3098394437","https://openalex.org/W3100848837","https://openalex.org/W3101156210","https://openalex.org/W3103695279","https://openalex.org/W3116116041","https://openalex.org/W4200627693","https://openalex.org/W4289542422","https://openalex.org/W4293412117","https://openalex.org/W4294558607","https://openalex.org/W4295608163","https://openalex.org/W4300485340","https://openalex.org/W4382395241","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6745119210","https://openalex.org/W6746260573","https://openalex.org/W6746693533","https://openalex.org/W6748557511","https://openalex.org/W6748799445","https://openalex.org/W6767153324","https://openalex.org/W6805563554"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2084942241"],"abstract_inverted_index":{"Image":[0],"representation":[1,17,98,103],"is":[2,90],"a":[3,134],"fundamental":[4],"task":[5],"in":[6,133,157],"computer":[7],"vision.":[8],"However,":[9],"most":[10],"of":[11,104],"the":[12,19,37,56,102,173],"existing":[13],"approaches":[14],"for":[15,74,92,123,130],"image":[16,27,63,77,97,106],"ignore":[18],"relations":[20,30,58],"between":[21,31],"images":[22,32,38,85],"and":[23,39,65,113,148,161,164,168],"consider":[24,54],"each":[25],"input":[26],"independently.":[28],"Intuitively,":[29],"can":[33,126,153,165],"help":[34],"to":[35,47,59,82],"understand":[36],"maintain":[40],"model":[41],"consistency":[42],"over":[43],"related":[44],"images,":[45,124],"leading":[46],"better":[48,170],"explainability.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"modeling":[55],"image-level":[57],"generate":[60],"more":[61],"informative":[62,121],"representations,":[64],"propose":[66],"ImageGCN,":[67],"an":[68,105],"end-to-end":[69],"graph":[70],"convolutional":[71],"network":[72],"framework":[73],"inductive":[75],"multi-relational":[76],"modeling.":[78],"We":[79],"apply":[80],"ImageGCN":[81,100,125,152],"chest":[83],"X-ray":[84],"where":[86],"rich":[87],"relational":[88],"information":[89],"available":[91],"disease":[93,159],"identification.":[94],"Unlike":[95],"previous":[96],"models,":[99],"learns":[101],"using":[107],"both":[108,158],"its":[109,114],"original":[110],"pixel":[111],"features":[112],"relationship":[115],"with":[116],"other":[117],"images.":[118],"Besides":[119],"learning":[120],"representations":[122],"also":[127],"be":[128],"used":[129],"object":[131],"detection":[132],"weakly":[135],"supervised":[136],"manner.":[137],"The":[138],"experimental":[139],"results":[140,171],"on":[141],"3":[142],"open-source":[143],"x-ray":[144],"datasets,":[145],"ChestX-ray14,":[146],"CheXpert":[147],"MIMIC-CXR":[149],"demonstrate":[150],"that":[151],"outperform":[154],"respective":[155],"baselines":[156],"identification":[160],"localization":[162],"tasks":[163],"achieve":[166],"comparable":[167],"often":[169],"than":[172],"state-of-the-art":[174],"methods.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}