<script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'UA-48293608-1'); </script>
Logo-bi
Bioimpacts. 2025;15: 30849 | Published on: 2025 Apr 12. doi: 10.34172/bi.30849
PMID: 40584904        PMCID: PMC12204811

Original Article

A hybrid transformer-based approach for early detection of Alzheimer’s disease using MRI images

Qi Wu 1 ORCID, Yannan Wang 2 * ORCID, Xiaojuan Zhang 1, Hongqiang Zhang 3, Kuanyu Che 4

Cited by CrossRef: 1

1- Mou F, Ahmed T, Huda M, Nandi A. Artificial neural networks fighting real neural decline: a systematic review of AI in Alzheimer’s research. Artif Intell Rev. 2026;59(4) [Crossref]
2- Dum A, Kulhalli K, Singh P. Alzheimer’s detection using discrete wavelet transform based image fusion and vision information transformer. Front Signal Process. 2026;6 [Crossref]
3- Mane D, Bidwe R, Shetty R, Shinde A, Shende G, Sharma V. A survey of deep learning techniques in detecting neurological disorders using MRI. BioMed Eng OnLine. 2026;25(1) [Crossref]
4- Hemlathadhevi D, Paranthaman I, Agoramoorthy M, Palani D. An efficient vision transformer-based 3D adaptive residual densenet with gated recurrent unit for early detection of alzheimer disease from magnetic resonance imaging. Expert Systems with Applications. 2026;298:129638 [Crossref]
5- A. Hassanain A, Hong T, Kumar R, Ali Abdelrahman M. Hierarchical Swin Transformer for Multi-Stage Dementia Diagnosis with Clinically-Grounded Visual Explainability. JSAA-International Journal. 2026;3(2) [Crossref]
6- Mathivanan S, Subramaniam S, Subramaniam D, R S, S.K.B S, S S. Progression-guided spatiotemporal memory transformers for accurate and consistent longitudinal brain tumor segmentation. Sci Rep. 2026;16(1) [Crossref]
7- González E, Dicu M, Villar J, Chira C. Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images. Int J Neur Syst. 2026; [Crossref]
8- Cosar M. Measuring the prediction performance of Alzheimer’s disease using MR images with a deep learning model supported by a cross-replication strategy. 2026;12:e3580 [Crossref]

Poster

As a peer-reviewed international open-access journal, BioImpacts publishes articles on basic and translational aspects of pharmaceutical and biomedical sciences. 
Acceptance rate (2024): 19% 
Publication fee: Free of charge

Indexing/Abstracting Info
PubMed; PubMed Central; Scopus; Science Citation Index Expanded; Google Scholar;   SJR; Essential Science Indicators; Embase; EBSCOhost; CAS: DOAJ: SHERPA/RoMEO
Member of   
Follower of ICMJE
Permission: Creative Commons