{"id":"https://openalex.org/W7117479905","doi":"https://doi.org/10.1109/dicta68720.2025.11302496","title":"MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs","display_name":"MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7117479905","doi":"https://doi.org/10.1109/dicta68720.2025.11302496"},"language":null,"primary_location":{"id":"doi:10.1109/dicta68720.2025.11302496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100317564","display_name":"Pengyu Wang","orcid":"https://orcid.org/0000-0002-3704-1530"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Pengyu Wang","raw_affiliation_strings":["The School of Computer Science, The University of Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"The School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121515538","display_name":"Shuchang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shuchang Ye","raw_affiliation_strings":["The School of Computer Science, The University of Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"The School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121454428","display_name":"Usman Naseem","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Usman Naseem","raw_affiliation_strings":["School of Coumputing, Macquarie University,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"School of Coumputing, Macquarie University,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614823","display_name":"Jinman Kim","orcid":"https://orcid.org/0000-0002-3647-7826"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinman Kim","raw_affiliation_strings":["The School of Computer Science, The University of Sydney,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"The School of Computer Science, The University of Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100317564"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65855855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2888999879360199,"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":0.2888999879360199,"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":0.219200000166893,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.17960000038146973,"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/medical-imaging","display_name":"Medical imaging","score":0.3808000087738037},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.3416000008583069},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3192000091075897},{"id":"https://openalex.org/keywords/medical-literature","display_name":"Medical literature","score":0.3028999865055084},{"id":"https://openalex.org/keywords/medical-treatment","display_name":"Medical treatment","score":0.2734000086784363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899999737739563},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3601999878883362},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34689998626708984},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33250001072883606},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C2779231881","wikidata":"https://www.wikidata.org/wiki/Q5977147","display_name":"Medical literature","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C2982822547","wikidata":"https://www.wikidata.org/wiki/Q179661","display_name":"Medical treatment","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2646999955177307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta68720.2025.11302496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1956340063","https://openalex.org/W2152772232","https://openalex.org/W2963466845","https://openalex.org/W3103694015","https://openalex.org/W3104609094","https://openalex.org/W4281729070","https://openalex.org/W4360604432","https://openalex.org/W4401527931","https://openalex.org/W4403456961","https://openalex.org/W4404781082","https://openalex.org/W4406260141","https://openalex.org/W4406800520","https://openalex.org/W4408492863"],"related_works":[],"abstract_inverted_index":{"Medical":[0,57],"Large":[1],"Vision-Language":[2],"Models":[3],"(MedLVLMs)":[4],"have":[5],"been":[6],"widely":[7],"adopted":[8],"for":[9,48,70],"medical":[10],"report":[11,119],"generation.":[12],"Despite":[13],"Med-LVLMs":[14],"producing":[15],"state-of-the-art":[16,115],"performance,":[17],"they":[18],"exhibit":[19],"a":[20,62,101],"bias":[21],"toward":[22],"predicting":[23],"findings":[24,98],"as":[25],"normal,":[26],"leading":[27],"to":[28,39,84],"reports":[29,91],"that":[30,66,92,111],"overlook":[31],"critical":[32],"abnormalities.":[33],"Furthermore,":[34],"these":[35,53],"models":[36],"often":[37],"fail":[38],"provide":[40],"comprehensive":[41,102],"descriptions":[42],"of":[43,77,104],"radiologically":[44],"relevant":[45,106],"regions":[46],"necessary":[47],"accurate":[49],"diagnosis.":[50],"To":[51],"address":[52],"challenges,":[54],"we":[55],"propose":[56],"Report":[58],"Generation":[59],"Agents":[60],"(MRGAgents),":[61],"novel":[63],"multi-agent":[64],"framework":[65],"fine-tunes":[67],"specialized":[68],"agents":[69],"different":[71],"disease":[72],"categories.":[73],"By":[74],"curating":[75],"subsets":[76],"the":[78,114],"IU":[79],"X-ray":[80],"and":[81,96,121],"MIMICCXR":[82],"datasets":[83],"train":[85],"disease-specific":[86],"agents,":[87],"our":[88],"MRGAgents":[89,112],"generates":[90],"effectively":[93],"balance":[94],"normal":[95],"abnormal":[97],"while":[99],"ensuring":[100],"description":[103],"clinically":[105],"regions.":[107],"Our":[108],"experiments":[109],"demonstrate":[110],"outperformed":[113],"counterparts,":[116],"improving":[117],"both":[118],"comprehensiveness":[120],"diagnostic":[122],"utility.":[123]},"counts_by_year":[],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-12-29T00:00:00"}