{"id":"https://openalex.org/W4406271589","doi":"https://doi.org/10.1109/bibm62325.2024.10821851","title":"Alifuse: Aligning and Fusing Multimodal Medical Data for Computer-Aided Diagnosis","display_name":"Alifuse: Aligning and Fusing Multimodal Medical Data for Computer-Aided Diagnosis","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271589","doi":"https://doi.org/10.1109/bibm62325.2024.10821851"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821851","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/A5048890580","display_name":"Qiuhui Chen","orcid":"https://orcid.org/0000-0002-1210-1306"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuhui Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101067674","display_name":"Yi Hong","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Hong","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.8448,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92926722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3082","last_page":"3087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.21389999985694885,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.21389999985694885,"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/T12031","display_name":"Speech and dialogue systems","score":0.20110000669956207,"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":0.7389050126075745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4687139093875885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389050126075745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4687139093875885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821851","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2001199794","https://openalex.org/W2115799070","https://openalex.org/W2122328291","https://openalex.org/W2123957845","https://openalex.org/W2150534249","https://openalex.org/W2194775991","https://openalex.org/W2902652978","https://openalex.org/W3025885500","https://openalex.org/W3176196997","https://openalex.org/W3208314443","https://openalex.org/W4283821415","https://openalex.org/W4312749457","https://openalex.org/W4313156423","https://openalex.org/W4380319195","https://openalex.org/W4385573131","https://openalex.org/W4405102058","https://openalex.org/W6755207826","https://openalex.org/W6761274798","https://openalex.org/W6784333009","https://openalex.org/W6790830454","https://openalex.org/W6791353385","https://openalex.org/W6810452849","https://openalex.org/W6810596876","https://openalex.org/W6850204008"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Medical":[0],"data":[1,27,88],"collected":[2],"for":[3,49,89],"diagnostic":[4],"decisions":[5],"are":[6],"typically":[7],"multimodal,":[8],"providing":[9],"comprehensive":[10],"information":[11],"on":[12,132],"a":[13,29,33,44],"subject.":[14],"While":[15],"computer-aided":[16],"diagnosis":[17],"systems":[18],"can":[19],"benefit":[20],"from":[21],"multimodal":[22,53],"inputs,":[23],"effectively":[24],"fusing":[25,52],"such":[26],"remains":[28],"challenging":[30],"task":[31],"and":[32,51,61,64,70,75,86,108,110,136],"key":[34],"focus":[35],"in":[36],"medical":[37,54,59],"research.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,57,92],"propose":[43],"transformer-based":[45],"framework,":[46],"called":[47],"Alifuse,":[48],"aligning":[50],"data.":[55],"Specifically,":[56],"convert":[58],"images":[60,107],"both":[62],"unstructured":[63],"structured":[65],"clinical":[66],"records":[67],"into":[68],"vision":[69],"language":[71],"tokens,":[72],"employing":[73],"intramodal":[74],"intermodal":[76],"attention":[77],"mechanisms":[78],"to":[79,125],"learn":[80],"unified":[81],"representations":[82],"of":[83,114,120],"all":[84],"imaging":[85],"non-imaging":[87],"classification.":[90],"Additionally,":[91],"integrate":[93],"restoration":[94],"modeling":[95],"with":[96,117],"contrastive":[97],"learning":[98,101],"frameworks,":[99],"jointly":[100],"the":[102,111,118],"high-level":[103],"semantic":[104],"alignment":[105],"between":[106],"texts":[109],"low-level":[112],"understanding":[113],"one":[115],"modality":[116],"help":[119],"another.":[121],"We":[122],"apply":[123],"Alifuse":[124],"classify":[126],"Alzheimer\u2019s":[127],"disease,":[128],"achieving":[129],"state-of-the-art":[130],"performance":[131],"five":[133],"public":[134],"datasets":[135],"outperforming":[137],"eight":[138],"baselines.":[139],"The":[140],"source":[141],"code":[142],"is":[143],"available":[144],"at":[145],"https://github.com/Qybc/Alifuse.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}