{"id":"https://openalex.org/W7126098374","doi":"https://doi.org/10.1109/bibm66473.2025.11356103","title":"SET-GFRN: Hybrid Architecture Fusing Structural and Functional MRI for Brain Age Estimation","display_name":"SET-GFRN: Hybrid Architecture Fusing Structural and Functional MRI for Brain Age Estimation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126098374","doi":"https://doi.org/10.1109/bibm66473.2025.11356103"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5035320788","display_name":"Jiachen Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiachen Song","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101293701","display_name":"Jiaxiang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Cao","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124177627","display_name":"Yan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124172489","display_name":"Lihong Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Qiao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103162735","display_name":"Baobin Li","orcid":"https://orcid.org/0000-0001-5828-9976"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baobin Li","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035320788"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75657994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4069","last_page":"4072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9746999740600586,"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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9746999740600586,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.014000000432133675,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.001500000013038516,"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/neuroimaging","display_name":"Neuroimaging","score":0.47429999709129333},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4611999988555908},{"id":"https://openalex.org/keywords/healthy-aging","display_name":"Healthy aging","score":0.4422000050544739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39750000834465027},{"id":"https://openalex.org/keywords/brain-aging","display_name":"Brain aging","score":0.39010000228881836},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36059999465942383},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3391999900341034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619700014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932000279426575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4796000123023987},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.47429999709129333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C3017819807","wikidata":"https://www.wikidata.org/wiki/Q332154","display_name":"Healthy aging","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2993665655","wikidata":"https://www.wikidata.org/wiki/Q4692577","display_name":"Brain aging","level":3,"score":0.39010000228881836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":19,"referenced_works":["https://openalex.org/W1560723556","https://openalex.org/W2078563124","https://openalex.org/W2167868121","https://openalex.org/W2194775991","https://openalex.org/W2425111248","https://openalex.org/W2590651237","https://openalex.org/W2752782242","https://openalex.org/W2766141193","https://openalex.org/W2963608065","https://openalex.org/W2964015378","https://openalex.org/W3037286432","https://openalex.org/W3092783643","https://openalex.org/W3164390524","https://openalex.org/W4206367614","https://openalex.org/W4313413262","https://openalex.org/W4323923206","https://openalex.org/W4382656787","https://openalex.org/W4390992317","https://openalex.org/W4408355718"],"related_works":[],"abstract_inverted_index":{"Brain":[0],"age":[1,31,71,136],"has":[2],"emerged":[3],"as":[4],"a":[5,65,84,92,105],"critical":[6],"biomarker":[7],"for":[8,87,97,133],"assessing":[9],"neurodevelopmental":[10],"health":[11],"and":[12,21,25,46,68,78,110],"aging":[13],"trajectories,":[14],"demonstrating":[15,127],"significant":[16],"potential":[17],"in":[18],"early":[19],"detection":[20],"monitoring":[22],"of":[23,107,113,130],"neurological":[24],"psychiatric":[26],"disorders.":[27],"While":[28],"existing":[29],"brain":[30,55,70,135],"prediction":[32,72],"models":[33],"predominantly":[34],"rely":[35],"on":[36,115],"structural":[37,88],"MRI":[38,51],"(sMRI)":[39],"due":[40],"to":[41],"their":[42],"rich":[43],"anatomical":[44],"detail":[45],"predictive":[47],"accuracy,":[48],"resting-state":[49],"functional":[50,99],"(rs-fMRI)\u2014which":[52],"captures":[53],"dynamic":[54],"connectivity\u2014remains":[56],"underutilized":[57],"despite":[58],"offering":[59],"complementary":[60],"insights.":[61],"This":[62],"study":[63],"proposes":[64],"highly":[66],"accurate":[67],"generalizable":[69],"framework":[73],"that":[74],"effectively":[75,122],"fuses":[76],"sMRI":[77],"rs-fMRI":[79],"modalities.":[80],"Specifically,":[81],"we":[82],"integrate":[83],"Squeeze-and-Excitation":[85],"Transformer":[86],"feature":[89],"extraction":[90],"with":[91],"Graph":[93],"Frequency":[94],"Recurrent":[95],"Network":[96],"modeling":[98],"dynamics.":[100],"Our":[101],"hybrid":[102],"model":[103],"achieves":[104],"MAE":[106],"1.31":[108],"years":[109],"Pearson's":[111],"R":[112],"0.976":[114],"the":[116,128],"ABIDE":[117],"I":[118],"dataset":[119],"while":[120],"generalizing":[121],"across":[123],"independent":[124],"datasets,":[125],"thus":[126],"utility":[129],"multimodal":[131],"fusion":[132],"robust":[134],"estimation.":[137]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-30T00:00:00"}