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#xGeriatricMedicine (5) Clinical Information and Decision Making (3527) Dementia and Cognitive Decline (866) Machine Learning (3043) Computer-Aided Diagnosis (404) Advancements in Neuroimaging (25)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2405.09553v1, first published .
Elderly man's profile with a stylized brain overlay, symbolizing cognitive health.

Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development

Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development

Authors of this article:

Lilia Lazli1 Author Orcid Image
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Journals

  1. Erdoğmuş P, Kabakuş A. Early diagnosis of Alzheimer’s Disease using hybrid CNN-Transformer models with Grad-CAM interpretability. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2025;15(3):829 View
  2. Yadav A, Khan I, Agarwal P, Kaur H. A proposed hybrid PCA–t-SNE approach for early prediction of Alzheimer’s disease. International Journal of Information Technology 2025;17(9):5231 View
  3. Sharma R, Acharya V. Lightweight Vision Transformer with transfer learning for interpretable Alzheimer’s disease severity assessment. Scientific Reports 2025;15(1) View
  4. Boudi A, He J, Abd El Kader I, Liu X, Mouhafid M. Advancing Alzheimer's Disease Diagnosis Using VGG19 and XGBoost: A Neuroimaging-Based Method. Current Alzheimer Research 2025;22(10):757 View
  5. Yu Z, Mulholland A, Huang T, Liu Q. Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities. Journal of Medical Internet Research 2026;28:e85414 View
  6. Salakapuri R, Terlapu P, Terlapu K, Dadhirao C, Sadi R, Rao B. Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis. Discover Artificial Intelligence 2026;6(1) View
  7. Öztürk Söylemez D, Ay Doğru S. NeuroFusion-ViT: A Hybrid CNN–EVA Transformer Model with Cross-Attention Fusion for MRI-Based Alzheimer’s Stage Classification. Diagnostics 2026;16(5):754 View
  8. Kathilankal Jis J, Chen K, Zhao C, Chen L, Pouriyeh S, Xie Z, Xie Y. Centralized Review of Alzheimer’s Disease and Related Dementias Biomedical Repositories and Computational Methods. Bioengineering 2026;13(6):698 View

Books/Policy Documents

  1. Kumari A, Basha N, Shaffi N, Viswan V, Mahmud M. Brain Informatics. View

Conference Proceedings

  1. Mohammed S, Malhotra N, Kumar S. 2025 5th Asian Conference on Innovation in Technology (ASIANCON). Dual-Model Framework for Alzheimer's Detection in CT Imaging: A Comparative Study of EfficientNetV2-B0 and ResNet50V2 View
  2. C.A B, Renuka K. 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). A Survey of Structural MRI-based Classification of Alzheimer's Disease: Traditional Machine Learning to Deep Neural Architectures View
  3. Geddam R, Ghayvat H, Paul S. 2026 2nd International Conference on Big Data & Machine Learning (ICBDML). Data-Driven Approaches for Dementia Prognosis Using Machine Learning Techniques View