{"id":"https://openalex.org/W4406260125","doi":"https://doi.org/10.1109/bibm62325.2024.10821990","title":"Radiographic Reports Generation via Retrieval Enhanced Cross-modal Fusion","display_name":"Radiographic Reports Generation via Retrieval Enhanced Cross-modal Fusion","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260125","doi":"https://doi.org/10.1109/bibm62325.2024.10821990"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5090010416","display_name":"Xia Hou","orcid":"https://orcid.org/0000-0001-6006-4215"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Hou","raw_affiliation_strings":["Beijing Information Science and Technology University,School of Computer Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436612","display_name":"Yifan Luo","orcid":"https://orcid.org/0000-0002-6993-6283"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Luo","raw_affiliation_strings":["Beijing Information Science and Technology University,School of Computer Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016074700","display_name":"Wenfeng Song","orcid":"https://orcid.org/0000-0003-0828-8718"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Song","raw_affiliation_strings":["Beijing Information Science and Technology University,School of Computer Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021883","display_name":"Yuting Guo","orcid":"https://orcid.org/0000-0003-0220-9599"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Guo","raw_affiliation_strings":["Beihang University,The State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,The State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China","institution_ids":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112528361","display_name":"Wenzhe You","orcid":null},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe You","raw_affiliation_strings":["Stomatology Center of China-Japan Friendship Hospital,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stomatology Center of China-Japan Friendship Hospital,Beijing,China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Beihang University,The State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,The State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China","institution_ids":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27690164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2032","last_page":"2039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8788999915122986,"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/T10028","display_name":"Topic Modeling","score":0.8788999915122986,"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/T11121","display_name":"Public Relations and Crisis Communication","score":0.8648999929428101,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.8587999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6440005898475647},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.5705603361129761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690305233001709},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5544471144676208},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4142276346683502},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38503703474998474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35091671347618103},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24401625990867615},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18394723534584045},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1823248267173767}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6440005898475647},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.5705603361129761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690305233001709},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5544471144676208},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4142276346683502},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38503703474998474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35091671347618103},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24401625990867615},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18394723534584045},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1823248267173767},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335783","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2152772232","https://openalex.org/W2575842049","https://openalex.org/W2770165365","https://openalex.org/W2903721568","https://openalex.org/W2949167374","https://openalex.org/W2963084599","https://openalex.org/W2963466845","https://openalex.org/W2995225687","https://openalex.org/W2997704374","https://openalex.org/W3034144331","https://openalex.org/W3037792789","https://openalex.org/W3045164092","https://openalex.org/W3104609094","https://openalex.org/W3137069976","https://openalex.org/W3173688449","https://openalex.org/W3181252431","https://openalex.org/W4229027955","https://openalex.org/W4231122779","https://openalex.org/W4285108627","https://openalex.org/W4312420429","https://openalex.org/W4386076004","https://openalex.org/W4386076360","https://openalex.org/W4390970476","https://openalex.org/W4390992246","https://openalex.org/W4394625850","https://openalex.org/W6677328238","https://openalex.org/W6682631176"],"related_works":["https://openalex.org/W2187699143","https://openalex.org/W2363602550","https://openalex.org/W609884419","https://openalex.org/W2052024821","https://openalex.org/W2074789357","https://openalex.org/W2416044114","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Accurate":[0],"radiographic":[1,23],"reports":[2],"are":[3,150],"crucial":[4],"for":[5,22],"effective":[6,73],"clinical":[7],"decision-making":[8],"and":[9,17,32,36,64,78,97,102,108,118,141,148],"patient":[10],"safety,":[11],"as":[12],"they":[13],"directly":[14],"influence":[15],"diagnosis":[16],"treatment":[18],"plans.":[19],"Existing":[20],"models":[21,149],"report":[24,34,139],"generation":[25],"often":[26],"struggle":[27],"with":[28],"integrating":[29],"medical":[30,76,95,123],"image":[31],"textual":[33,79],"features":[35],"addressing":[37],"data":[38,80,88],"imbalances.":[39],"To":[40],"overcome":[41],"these":[42,83],"limitations,":[43],"we":[44],"propose":[45],"an":[46],"enhanced":[47],"cross-modal":[48],"aligned":[49],"retrieval-driven":[50],"network":[51],"(EARnet).":[52],"Our":[53,146],"model":[54,131],"incorporates":[55],"two":[56],"key":[57],"innovations:":[58],"Enhanced":[59],"Cross-modal":[60],"Alignment":[61],"(ECA)":[62],"module":[63],"Case-based":[65],"Retrieval":[66],"Augmenter":[67],"(CRA)":[68],"module.":[69],"ECA":[70],"ensures":[71],"the":[72,92,116,121],"integration":[74],"of":[75,94,105,120,138],"visual":[77],"by":[81,90],"aligning":[82],"modalities.":[84],"CRA":[85],"helps":[86],"mitigate":[87],"imbalance":[89],"improving":[91],"representation":[93],"information":[96],"ensuring":[98],"a":[99],"more":[100],"balanced":[101],"comprehensive":[103],"coverage":[104],"both":[106],"normal":[107],"abnormal":[109],"cases.":[110],"This":[111],"dual-module":[112],"approach":[113],"significantly":[114],"improves":[115],"coherence":[117],"accuracy":[119,142],"generated":[122],"reports.":[124],"Evaluation":[125],"results":[126],"demonstrate":[127],"that":[128],"our":[129],"EARnet":[130],"substantially":[132],"outperforms":[133],"existing":[134],"methods":[135],"in":[136],"terms":[137],"quality":[140],"across":[143],"multiple":[144],"metrics.":[145],"codes":[147],"available":[151],"at":[152],"https://github.com/lyf616/EARnet.":[153]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
