{"id":"https://openalex.org/W4390992135","doi":"https://doi.org/10.1109/bibm58861.2023.10386013","title":"Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning","display_name":"Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390992135","doi":"https://doi.org/10.1109/bibm58861.2023.10386013"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10386013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069390870","display_name":"Dexuan Xu","orcid":"https://orcid.org/0000-0003-3100-5886"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexuan Xu","raw_affiliation_strings":["Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104230937","display_name":"Yanyuan Chen","orcid":"https://orcid.org/0000-0003-1579-5857"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyuan Chen","raw_affiliation_strings":["Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324161","display_name":"Jiayu Zhang","orcid":"https://orcid.org/0000-0002-7089-317X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Zhang","raw_affiliation_strings":["Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Research Center for S.E. School of Software &amp; Micro.,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071063696","display_name":"Yiwei Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Lou","raw_affiliation_strings":["Peking University,School of Computer Science,China","School of Computer Science, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079106687","display_name":"Hanpin Wang","orcid":"https://orcid.org/0000-0002-2439-1670"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210092262","display_name":"Ministry of Education","ror":"https://ror.org/00dh5gw98","country_code":"RO","type":"funder","lineage":["https://openalex.org/I2799732796","https://openalex.org/I4210092262"]}],"countries":["CN","RO"],"is_corresponding":false,"raw_author_name":"Hanpin Wang","raw_affiliation_strings":["Peking University,Key Laboratory of High Confidece Software Technologies (MOE) School of Computer Science,China","Key Laboratory of High Confidece Software Technologies (MOE) School of Computer Science, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Key Laboratory of High Confidece Software Technologies (MOE) School of Computer Science,China","institution_ids":["https://openalex.org/I4210092262"]},{"raw_affiliation_string":"Key Laboratory of High Confidece Software Technologies (MOE) School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113259141","display_name":"Jing He","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["Peking University People&#x2019;s Hospital,Department of Rheumatology and Immunology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University People&#x2019;s Hospital,Department of Rheumatology and Immunology,China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210124809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055065021","display_name":"Yu Huang","orcid":"https://orcid.org/0000-0002-9935-7717"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Huang","raw_affiliation_strings":["Peking University,National Engineering Research Center for Software Engineering,China","National Engineering Research Center for Software Engineering, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,National Engineering Research Center for Software Engineering,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2320","last_page":"2325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.9966999888420105,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9779000282287598,"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/computer-science","display_name":"Computer science","score":0.7710811495780945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384687185287476},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45592665672302246},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.414874792098999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3883819580078125},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35792821645736694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710811495780945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384687185287476},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45592665672302246},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.414874792098999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3883819580078125},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35792821645736694},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10386013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1895577753","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2152772232","https://openalex.org/W2154652894","https://openalex.org/W2591804103","https://openalex.org/W2896457183","https://openalex.org/W2903721568","https://openalex.org/W2911489562","https://openalex.org/W2963206148","https://openalex.org/W2995225687","https://openalex.org/W3104609094","https://openalex.org/W3130502265","https://openalex.org/W3173688449","https://openalex.org/W3181252431","https://openalex.org/W4214493665","https://openalex.org/W4214679539","https://openalex.org/W4231449374","https://openalex.org/W4281729070","https://openalex.org/W4313527304","https://openalex.org/W4366779622","https://openalex.org/W6677328238","https://openalex.org/W6682631176","https://openalex.org/W6774314701","https://openalex.org/W6798001135"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"The":[0],"automated":[1],"generation":[2],"of":[3,13,19,25,30,89,144,155],"radiology":[4,52,161],"reports":[5],"has":[6],"attracted":[7],"significant":[8],"attention":[9],"in":[10,120],"the":[11,16,68,76,85,90,109,121,128,142,145,153],"field":[12],"bioinformatics.":[14],"Currently,":[15],"main":[17],"limitations":[18],"this":[20],"task":[21],"include":[22],"insufficient":[23],"utilization":[24],"prior":[26,81],"medical":[27],"knowledge,":[28],"lack":[29],"efficient":[31],"knowledge":[32,82,91,99],"fusion":[33],"algorithms,":[34],"and":[35,62,80,98,107,112,117,132,140,164,175],"less":[36],"distinctiveness":[37],"between":[38,78,130],"different":[39],"generated":[40],"reports.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46,148],"propose":[47],"a":[48],"novel":[49],"algorithm":[50],"for":[51,67],"report":[53],"generation,":[54],"which":[55],"includes":[56],"Structured":[57],"Knowledge-Enhanced":[58],"Multi-modal":[59],"Attention":[60],"(SKEMA)":[61],"Dual-Branch":[63],"Contrastive":[64],"Learning":[65],"(DBCL)":[66],"first":[69],"time.":[70],"SKEMA":[71],"aims":[72],"to":[73,93,135,151],"effectively":[74],"bridge":[75],"gap":[77],"visual":[79],"by":[83],"leveraging":[84],"high-order":[86],"adjacency":[87],"matrix":[88],"graph":[92],"weightedly":[94],"fuse":[95],"image":[96],"features":[97,104,111,114],"features.":[100],"We":[101],"enhance":[102],"both":[103,173],"through":[105],"masking,":[106],"use":[108],"original":[110],"augmented":[113],"as":[115],"positive":[116,131],"negative":[118,133],"samples":[119,134],"dual-branch":[122],"contrastive":[123],"learning":[124],"(DBCL).":[125],"DBCL":[126],"increases":[127],"differences":[129],"avoid":[136],"generating":[137],"templated":[138],"results,":[139],"enhances":[141],"robustness":[143],"model.":[146],"Finally,":[147],"conducted":[149],"experiments":[150],"demonstrate":[152],"effectiveness":[154],"our":[156],"model":[157,167],"on":[158,172],"two":[159],"public":[160],"datasets,":[162],"IU-Xray":[163],"MIMIC-CXR.":[165],"Our":[166],"outperformed":[168],"previous":[169],"baseline":[170],"methods":[171],"datasets":[174],"achieved":[176],"excellent":[177],"evaluation":[178],"scores.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
