{"id":"https://openalex.org/W7127121162","doi":"https://doi.org/10.31449/inf.v50i5.12777","title":"Leveraging Local and Global Features: A CNN-Transformer Hybrid for fMRI-Based Autism Diagnosis","display_name":"Leveraging Local and Global Features: A CNN-Transformer Hybrid for fMRI-Based Autism Diagnosis","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7127121162","doi":"https://doi.org/10.31449/inf.v50i5.12777"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i5.12777","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.12777","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12777/6416","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/12777/6416","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124829269","display_name":"Mengzhu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengzhu Yu","raw_affiliation_strings":["Information Technology Department, Qingdao Vocational and Technical College of Hotel Management, Qingdao, Shandong, 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Department, Qingdao Vocational and Technical College of Hotel Management, Qingdao, Shandong, 266100, China","institution_ids":["https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5124829269"],"corresponding_institution_ids":["https://openalex.org/I44468530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11808168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.42399999499320984,"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":0.42399999499320984,"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/T10106","display_name":"Autism Spectrum Disorder Research","score":0.3172000050544739,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.05829999968409538,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5110999941825867},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4991999864578247},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4925000071525574},{"id":"https://openalex.org/keywords/autism-spectrum-disorder","display_name":"Autism spectrum disorder","score":0.45669999718666077},{"id":"https://openalex.org/keywords/autism","display_name":"Autism","score":0.4372999966144562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.413100004196167},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3919000029563904},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36320000886917114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765999794006348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6100999712944031},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47940000891685486},{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.45669999718666077},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i5.12777","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.12777","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12777/6416","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i5.12777","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.12777","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12777/6416","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127121162.pdf","grobid_xml":"https://content.openalex.org/works/W7127121162.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Autism":[0],"Spectrum":[1],"Disorder":[2],"(ASD)":[3],"diagnosis":[4,69],"remains":[5],"challenging":[6],"because":[7],"of":[8,122,126,130,135,143,174,184],"its":[9,32],"heterogeneity":[10],"and":[11,55,132,147,152,158,188],"reliance":[12],"on":[13,106],"subjective":[14],"behavioral":[15],"assessments.":[16],"Resting-state":[17],"functional":[18],"MRI":[19],"(fMRI)":[20],"presents":[21],"a":[22,78,91,100,124,128,193],"compelling":[23],"opportunity":[24],"avenue":[25],"for":[26,66,196],"identifying":[27],"objective":[28],"biomarkers,":[29],"but":[30],"decoding":[31],"complex":[33],"spatiotemporal":[34,84],"patterns":[35],"requires":[36],"advanced":[37],"computational":[38],"models.":[39],"While":[40],"Deep":[41],"Learning":[42],"(DL)":[43],"approaches":[44],"have":[45],"progressed,":[46],"many":[47],"struggle":[48],"to":[49,72,81,94],"concurrently":[50],"capture":[51],"local":[52,185],"neural":[53],"dynamics":[54],"global":[56,97,189],"temporal":[57],"dependencies.":[58],"A":[59],"novel":[60],"end-to-end":[61],"CNN-Transformer":[62],"hybrid":[63],"framework":[64],"designed":[65],"fMRI-based":[67],"autism":[68],"is":[70,192],"proposed":[71],"address":[73],"this.":[74],"Our":[75],"model":[76,95,115],"leverages":[77],"convolutional":[79],"module":[80],"extract":[82],"localized":[83],"features,":[85],"which":[86],"are":[87],"then":[88],"processed":[89],"by":[90],"Transformer":[92],"encoder":[93],"long-range,":[96],"dependencies":[98],"through":[99],"Multi-Head":[101],"Self-Attention":[102],"(MHSA)":[103],"mechanism.":[104],"Evaluated":[105],"the":[107,113,140,172,181],"large":[108],"multi-site":[109],"ABIDE-I":[110],"dataset":[111],"(N=1,035),":[112],"suggested":[114],"achieved":[116],"state-of-the-art":[117],"performance":[118,161,166],"with":[119,149],"an":[120,133,164],"accuracy":[121],"77.85%,":[123],"sensitivity":[125],"76.52%,":[127],"specificity":[129],"78.90%,":[131],"F1-score":[134],"77.71%.":[136],"Ablation":[137],"studies":[138],"confirmed":[139],"critical":[141],"contribution":[142],"each":[144],"architectural":[145],"component,":[146],"comparisons":[148],"pre-trained":[150],"CNNs":[151],"other":[153],"leading":[154],"methods":[155],"demonstrated":[156],"superior":[157],"statistically":[159],"significant":[160],"(p<0.05).":[162],"Despite":[163],"observed":[165],"drop":[167],"in":[168],"site-specific":[169],"evaluations,":[170],"underscoring":[171],"challenge":[173],"scanner":[175],"heterogeneity,":[176],"our":[177],"results":[178],"affirm":[179],"that":[180],"synergistic":[182],"integration":[183],"feature":[186],"learning":[187],"contextual":[190],"modeling":[191],"powerful":[194],"paradigm":[195],"neuroimaging-based":[197],"diagnostic":[198],"applications.":[199]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-03T00:00:00"}