{"id":"https://openalex.org/W7150886521","doi":"https://doi.org/10.1109/access.2026.3681292","title":"AD-ViTNet: Modeling Global Structural Dependencies in Brain MRI for Alzheimer\u2019s Disease Detection Using Vision Transformer","display_name":"AD-ViTNet: Modeling Global Structural Dependencies in Brain MRI for Alzheimer\u2019s Disease Detection Using Vision Transformer","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7150886521","doi":"https://doi.org/10.1109/access.2026.3681292"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3681292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3681292","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3681292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133036790","display_name":"Syed Nisar Hussain Bukhari","orcid":null},"institutions":[{"id":"https://openalex.org/I8778637","display_name":"National Institute of Technology Srinagar","ror":"https://ror.org/03sfwvw54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152752","https://openalex.org/I8778637"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Nisar Hussain Bukhari","raw_affiliation_strings":["National Institute of Electronics and Information Technology (NIELIT), Srinagar, Jammu and Kashmir, India"],"raw_orcid":"https://orcid.org/0000-0002-8626-8838","affiliations":[{"raw_affiliation_string":"National Institute of Electronics and Information Technology (NIELIT), Srinagar, Jammu and Kashmir, India","institution_ids":["https://openalex.org/I8778637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028557268","display_name":"Kingsley A. Ogudo","orcid":"https://orcid.org/0000-0001-6589-4904"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Kingsley A. Ogudo","raw_affiliation_strings":["Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg, South Africa"],"raw_orcid":"https://orcid.org/0000-0001-6589-4904","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34589615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"53019","last_page":"53037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.20360000431537628,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.20360000431537628,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15039999783039093,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.06080000102519989,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5332000255584717},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44359999895095825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.398499995470047},{"id":"https://openalex.org/keywords/brain-disease","display_name":"Brain disease","score":0.39800000190734863},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.33500000834465027},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.32839998602867126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713699996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650999784469604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5965999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5332000255584717},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44359999895095825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C2991673738","wikidata":"https://www.wikidata.org/wiki/Q5062122","display_name":"Brain disease","level":3,"score":0.39800000190734863},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3174000084400177},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3681292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3681292","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:131d172cdf914e9db7b0a4c4d6e55241","is_oa":true,"landing_page_url":"https://doaj.org/article/131d172cdf914e9db7b0a4c4d6e55241","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 53019-53037 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3681292","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3681292","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323959","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Although":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5],"shown":[6],"promising":[7],"results":[8,132],"for":[9,118,220],"automated":[10],"detection":[11],"of":[12,38,155,158,162,201,217],"Alzheimer\u2019s":[13,78],"disease":[14],"(AD)":[15],"from":[16,76],"structural":[17,57,73],"MRI,":[18],"their":[19,26],"reliance":[20],"on":[21,72],"local":[22],"receptive":[23],"fields":[24],"limits":[25],"ability":[27],"to":[28,54,92,194],"capture":[29],"the":[30,39,48,77,98,135,147,187,199,215],"diffuse":[31],"and":[32,70,89,116,126,160,168,213],"spatially":[33],"distributed":[34],"neurodegenerative":[35],"changes":[36],"characteristic":[37],"disease.":[40],"To":[41],"address":[42],"this":[43,45],"limitation,":[44],"study":[46],"proposes":[47],"AD-ViTNet,":[49],"a":[50],"Vision":[51],"Transformer-based":[52],"framework":[53,68],"model":[55],"global":[56,94,202],"dependencies":[58],"in":[59,205],"brain":[60,100],"MRI":[61,74,84],"through":[62],"self-attention":[63,91],"mechanisms.":[64],"The":[65],"proposed":[66],"AD-ViTNet":[67,136,151],"trained":[69],"evaluated":[71],"data":[75],"Disease":[79],"Neuroimaging":[80],"Initiative":[81],"(ADNI)":[82],"processes":[83],"scans":[85],"using":[86,176],"patch-wise":[87],"representations":[88],"multi-head":[90],"learn":[93],"contextual":[95],"features":[96],"across":[97,142],"entire":[99],"volume.":[101],"Comprehensive":[102],"comparative":[103],"experiments":[104],"are":[105,191],"conducted":[106],"against":[107],"widely":[108],"used":[109],"CNN":[110],"architectures,":[111],"including":[112],"ResNet50,":[113],"EfficientNetB0,":[114],"InceptionNet,":[115],"VGG16,":[117],"binary":[119],"classification":[120],"between":[121],"cognitively":[122],"normal":[123],"control":[124],"subjects":[125],"individuals":[127],"diagnosed":[128],"with":[129,179,211],"AD.":[130],"Experimental":[131],"show":[133],"that":[134,186],"consistently":[137],"outperforms":[138],"all":[139,180],"benchmark":[140],"models":[141],"multiple":[143],"evaluation":[144,149],"metrics.":[145],"In":[146],"primary":[148],"setting,":[150],"achieves":[152],"an":[153],"accuracy":[154],"96.8%,":[156,159],"F1-score":[157],"AUC":[161],"0.983,":[163],"indicating":[164],"strong":[165],"discriminative":[166],"capability":[167],"robust":[169],"feature":[170],"representation.":[171],"Statistical":[172],"significance":[173],"is":[174],"verified":[175],"McNemar\u2019s":[177],"test,":[178],"comparisons":[181],"yielding":[182],"p-values":[183],"<0.05,":[184],"confirming":[185],"observed":[188],"performance":[189],"improvements":[190],"not":[192],"attributable":[193],"chance.":[195],"These":[196],"findings":[197],"demonstrate":[198],"effectiveness":[200],"attention":[203],"mechanisms":[204],"capturing":[206],"heterogeneous":[207],"atrophy":[208],"patterns":[209],"associated":[210],"AD":[212],"highlight":[214],"potential":[216],"transformer-based":[218],"architectures":[219],"reliable,":[221],"computer-aided":[222],"neuroimaging":[223],"diagnosis.":[224]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-04-07T00:00:00"}