{"id":"https://openalex.org/W7124156312","doi":"https://doi.org/10.1145/3777577.3777646","title":"Relevance-Aware Domain Adaptation with Unified Multimodal Representation for Neuroimaging Classification","display_name":"Relevance-Aware Domain Adaptation with Unified Multimodal Representation for Neuroimaging Classification","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124156312","doi":"https://doi.org/10.1145/3777577.3777646"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777646","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777646","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777646","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123025877","display_name":"Kexin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kexin Zheng","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001423716","display_name":"Ming Ke","orcid":"https://orcid.org/0000-0002-9690-1529"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Ke","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022298310","display_name":"Lubin Wang","orcid":"https://orcid.org/0000-0002-8695-9161"},"institutions":[{"id":"https://openalex.org/I4391767653","display_name":"Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences","ror":"https://ror.org/055qbch41","country_code":null,"type":"facility","lineage":["https://openalex.org/I200296433","https://openalex.org/I4391767653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubin Wang","raw_affiliation_strings":["Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4391767653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642867","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-7950-4233"},"institutions":[{"id":"https://openalex.org/I4391767653","display_name":"Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences","ror":"https://ror.org/055qbch41","country_code":null,"type":"facility","lineage":["https://openalex.org/I200296433","https://openalex.org/I4391767653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4391767653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102714779","display_name":"Pinhong Chen","orcid":"https://orcid.org/0000-0001-6607-4166"},"institutions":[{"id":"https://openalex.org/I4391767653","display_name":"Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences","ror":"https://ror.org/055qbch41","country_code":null,"type":"facility","lineage":["https://openalex.org/I200296433","https://openalex.org/I4391767653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinhong Chen","raw_affiliation_strings":["Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4391767653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103140884","display_name":"Kai Gao","orcid":"https://orcid.org/0000-0002-9605-4964"},"institutions":[{"id":"https://openalex.org/I4391767653","display_name":"Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences","ror":"https://ror.org/055qbch41","country_code":null,"type":"facility","lineage":["https://openalex.org/I200296433","https://openalex.org/I4391767653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Gao","raw_affiliation_strings":["Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4391767653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5123025877"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8661307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.699400007724762,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.699400007724762,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.07850000262260437,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.046300001442432404,"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/adversarial-system","display_name":"Adversarial system","score":0.6353999972343445},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.625},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6079000234603882},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5981000065803528},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5881999731063843},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5577999949455261},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5051000118255615},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48989999294281006},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4185999929904938},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3783999979496002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684999704360962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7275000214576721},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6353999972343445},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.625},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6079000234603882},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5981000065803528},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5881999731063843},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5577999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5504999756813049},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5051000118255615},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48989999294281006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777646","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777646","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777646","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777646","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2167868121","https://openalex.org/W3016410370","https://openalex.org/W3034552520","https://openalex.org/W3145104656","https://openalex.org/W3153445520","https://openalex.org/W3213217559","https://openalex.org/W4206042814","https://openalex.org/W4385986816","https://openalex.org/W4410251311"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"for":[3,74,95,164,169],"diagnosing":[4],"brain":[5],"disorders":[6],"from":[7,28,124],"neuroimaging":[8],"data":[9,27,43,56],"are":[10],"hindered":[11],"by":[12],"poor":[13],"generalization":[14],"across":[15],"different":[16],"clinical":[17,171],"sites,":[18],"a":[19,32,58,81,91,101,161],"challenge":[20],"known":[21],"as":[22,45],"cross-site":[23],"heterogeneity.":[24],"While":[25],"aggregating":[26],"multiple":[29],"sources":[30,44],"is":[31,152],"common":[33],"strategy,":[34],"it":[35,99],"often":[36],"fails":[37],"because":[38],"existing":[39],"methods":[40],"treat":[41],"all":[42],"equally":[46],"informative,":[47],"diluting":[48],"valuable":[49],"signals.":[50],"Concurrently,":[51],"effectively":[52],"fusing":[53],"multimodal":[54,88],"MRI":[55],"remains":[57],"non-trivial":[59],"task.":[60],"To":[61],"address":[62],"these":[63],"dual":[64],"challenges,":[65],"we":[66],"propose":[67],"the":[68,115,121,125,131,148,153],"RADMM":[69,139],"Net,":[70],"an":[71],"end-to-end":[72],"framework":[73],"multi-source":[75],"domain":[76,158],"adaptation.":[77],"Our":[78],"method":[79],"uses":[80],"cortical":[82],"surface":[83],"mapping":[84],"technique":[85],"to":[86,114,156],"unify":[87],"features":[89],"into":[90],"topology-preserving":[92],"2D":[93],"representation":[94],"effective":[96],"fusion.":[97],"Critically,":[98],"incorporates":[100],"Relevance-Aware":[102],"Domain":[103],"Weighting":[104],"(RADW)":[105],"module":[106],"that":[107,147],"dynamically":[108],"prioritizes":[109],"source":[110],"domains":[111],"most":[112,126],"similar":[113],"target":[116],"during":[117],"adversarial":[118],"training,":[119],"ensuring":[120],"model":[122],"learns":[123],"relevant":[127],"data.":[128],"Experiments":[129],"on":[130],"public":[132],"ABIDE":[133],"I":[134],"&":[135],"II":[136],"datasets":[137],"show":[138],"Net":[140],"significantly":[141],"outperforms":[142],"baselines.":[143],"Ablation":[144],"studies":[145],"confirm":[146],"dynamic":[149],"weighting":[150],"mechanism":[151],"key":[154],"contributor":[155],"overcoming":[157],"shift,":[159],"establishing":[160],"robust":[162],"pathway":[163],"developing":[165],"generalizable":[166],"diagnostic":[167],"tools":[168],"real-world":[170],"applications.":[172]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-15T00:00:00"}