{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T03:20:04Z","timestamp":1775445604611,"version":"3.50.1"},"reference-count":32,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.patrec.2026.02.033","type":"journal-article","created":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T07:44:04Z","timestamp":1773215044000},"page":"133-138","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["DuoViT-AD: A dual-scale vision transformer for Alzheimer\u2019s disease detection from brain MRI"],"prefix":"10.1016","volume":"203","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5672-2982","authenticated-orcid":false,"given":"Sana","family":"Trigui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hala","family":"Bezine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.patrec.2026.02.033_bib0001","first-page":"528","article-title":"2023 Alzheimer\u2019s disease facts and figures","volume":"19","author":"Alzheimer\u2019s Association","year":"2023","journal-title":"Alzheimer\u2019s Dementia"},{"key":"10.1016\/j.patrec.2026.02.033_bib0002","series-title":"World Alzheimer Report 2015","author":"Prince","year":"2015"},{"issue":"2","key":"10.1016\/j.patrec.2026.02.033_bib0003","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1152\/physrev.2001.81.2.741","article-title":"Alzheimer\u2019s disease: genes, proteins, and therapy","volume":"81","author":"Selkoe","year":"2001","journal-title":"Physiol. Rev."},{"issue":"5580","key":"10.1016\/j.patrec.2026.02.033_bib0004","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1126\/science.1072994","article-title":"The amyloid hypothesis of alzheimer\u2019s disease: progress and problems on the road to therapeutics","volume":"297","author":"Hardy","year":"2002","journal-title":"Science"},{"issue":"1","key":"10.1016\/j.patrec.2026.02.033_bib0005","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/S1474-4422(09)70299-6","article-title":"Hypothetical model of dynamic biomarkers of the alzheimer\u2019s pathological cascade","volume":"9","author":"Jr","year":"2010","journal-title":"Lancet Neurol."},{"issue":"12","key":"10.1016\/j.patrec.2026.02.033_bib0006","doi-asserted-by":"crossref","first-page":"1985","DOI":"10.1001\/archneur.58.12.1985","article-title":"Current concepts in mild cognitive impairment","volume":"58","author":"Petersen","year":"2001","journal-title":"Arch. Neurol."},{"issue":"11","key":"10.1016\/j.patrec.2026.02.033_bib0007","doi-asserted-by":"crossref","first-page":"2412","DOI":"10.1212\/WNL.43.11.2412-a","article-title":"The clinical dementia rating (cdr): current version and scoring rules","volume":"43","author":"Morris","year":"1993","journal-title":"Neurology"},{"key":"10.1016\/j.patrec.2026.02.033_bib0008","first-page":"292","volume":"12","author":"Dubois","year":"2016","journal-title":"Preclinical alzheimer\u2019s disease: definition, natural history, and diagnostic criteria"},{"issue":"3","key":"10.1016\/j.patrec.2026.02.033_bib0009","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/j.1365-2796.2004.01388.x","article-title":"Mild cognitive impairment as a diagnostic entity","volume":"256","author":"Petersen","year":"2004","journal-title":"J. Intern. Med."},{"issue":"3","key":"10.1016\/j.patrec.2026.02.033_bib0010","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1159\/000068484","article-title":"Kinematic analysis of handwriting movements in patients with alzheimer\u2019s disease, mild cognitive impairment, depression and healthy subjects","volume":"15","author":"Schr\u00f6ter","year":"2003","journal-title":"Dement. Geriatr. Cogn. Disord."},{"issue":"9","key":"10.1016\/j.patrec.2026.02.033_bib0011","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1136\/jnnp.2006.106914","article-title":"Quantitative gait dysfunction and risk of cognitive decline and dementia","volume":"78","author":"Verghese","year":"2007","journal-title":"Neurosurg. Psychiatr. J. Neurol."},{"issue":"2","key":"10.1016\/j.patrec.2026.02.033_bib0012","doi-asserted-by":"crossref","first-page":"407","DOI":"10.3233\/JAD-150520","article-title":"Linguistic features identify alzheimer\u2019s disease in narrative speech","volume":"49","author":"Fraser","year":"2016","journal-title":"J. Alzheimers Dis."},{"issue":"2","key":"10.1016\/j.patrec.2026.02.033_bib0013","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1038\/nrneurol.2009.215","article-title":"The clinical use of structural mri in alzheimer disease","volume":"6","author":"Frisoni","year":"2010","journal-title":"Nat. Rev. Neurol."},{"issue":"2","key":"10.1016\/j.patrec.2026.02.033_bib0014","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1016\/j.neuroimage.2010.08.044","article-title":"Multivariate analysis of mri data for alzheimer\u2019s disease, mild cognitive impairment and healthy controls","volume":"54","author":"Westman","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.patrec.2026.02.033_bib0015","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.neuroimage.2016.02.079","article-title":"Single subject prediction of brain disorders in neuroimaging: promises and pitfalls","volume":"145","author":"Arbabshirani","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.patrec.2026.02.033_bib0016","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s11042-023-14815-1","article-title":"Teaching learning-based brain storm optimization tuned deep-cnn for alzheimer\u2019s disease classification","volume":"82","author":"Roopa","year":"2023","journal-title":"Multimed. Tools Appl."},{"key":"10.1016\/j.patrec.2026.02.033_bib0017","article-title":"Automated classification of alzheimer\u2019s disease and mild cognitive impairment using a single mri and deep neural networks","volume":"21","author":"Basaia","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.patrec.2026.02.033_bib0018","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.media.2017.01.008","article-title":"Deep ensemble learning of sparse regression models for brain disease diagnosis","volume":"37","author":"Suk","year":"2017","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.patrec.2026.02.033_bib0019","series-title":"International Conference on Learning Representations","article-title":"An image is worth 16x16 words: transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"10.1016\/j.patrec.2026.02.033_bib0020","doi-asserted-by":"crossref","first-page":"8996","DOI":"10.1038\/s41598-024-59578-3","article-title":"Joint transformer architecture in brain 3d mri classification: its application in alzheimer\u2019s disease classification","volume":"14","author":"Alp","year":"2024","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.patrec.2026.02.033_bib0021","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0318998","article-title":"Hybrid-rvit: hybridizing resnet-50 and vision transformer for enhanced alzheimer\u2019s disease detection","volume":"20","author":"Yan","year":"2025","journal-title":"PLoS ONE"},{"issue":"1","key":"10.1016\/j.patrec.2026.02.033_bib0022","first-page":"130","article-title":"Transforming alzheimer\u2019s disease diagnosis: implementing vision transformer (vit) for mri images classification","volume":"24","author":"Kurniasari","year":"2025","journal-title":"J. Inf. Commun. Technol."},{"issue":"20","key":"10.1016\/j.patrec.2026.02.033_bib0023","doi-asserted-by":"crossref","first-page":"2763","DOI":"10.3390\/healthcare11202763","article-title":"A cognitive semantic approach for alzheimer\u2019s disease detection using vision transformer","volume":"11","author":"Almufareh","year":"2023","journal-title":"Healthcare"},{"key":"10.1016\/j.patrec.2026.02.033_bib0024","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.patrec.2024.06.003","article-title":"Vthsc-mir: vision transformer hashing with supervised contrastive learning for medical image retrieval","volume":"184","author":"Kumar","year":"2024","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.02.033_bib0025","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.patrec.2021.11.017","article-title":"Biomedical image segmentation based on full-resolution network","volume":"153","author":"Qu","year":"2022","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.02.033_bib0026","series-title":"Alzheimer MRI 4 Classes Dataset","author":"Kaggle","year":"2023"},{"key":"10.1016\/j.patrec.2026.02.033_bib0027","series-title":"2021 IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"6804","article-title":"Multiscale vision transformers","author":"Fan","year":"2021"},{"key":"10.1016\/j.patrec.2026.02.033_bib0028","first-page":"46","article-title":"Classifying alzheimer\u2019s disease based on a convolutional neural network with mri images","volume":"5","author":"Av\u015far","year":"2023","journal-title":"J. Artif. Intell. Syst."},{"issue":"1","key":"10.1016\/j.patrec.2026.02.033_bib0029","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s40708-024-00238-7","article-title":"Ensemble of vision transformer architectures for efficient alzheimer\u2019s disease classification using 2d cnn and swin transformers","volume":"11","author":"Shaffi","year":"2024","journal-title":"Brain Inf."},{"key":"10.1016\/j.patrec.2026.02.033_bib0030","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/ACCESS.2022.3204395","article-title":"Addnet: an effective deep learning model for early detection of alzheimer disease in mri scans","volume":"10","author":"Fareed","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.patrec.2026.02.033_bib0031","series-title":"Alzheimer\u2019s Detection from MRI (Oasis Dataset)","author":"Kaggle","year":"2023"},{"issue":"9","key":"10.1016\/j.patrec.2026.02.033_bib0032","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1162\/jocn.2007.19.9.1498","article-title":"Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults","volume":"19","author":"Marcus","year":"2007","journal-title":"J. Cogn. Neurosci."}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526000784?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526000784?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:58:57Z","timestamp":1774976337000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865526000784"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":32,"alternative-id":["S0167865526000784"],"URL":"https:\/\/doi.org\/10.1016\/j.patrec.2026.02.033","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DuoViT-AD: A dual-scale vision transformer for Alzheimer\u2019s disease detection from brain MRI","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patrec.2026.02.033","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}