Multiscale Analysis of Alzheimer’s Disease Using Feature Fusion in Cognitive and Sensory Brain Regions
The findings contribute valuable insights into the effectiveness of feature fusion, sex-specific differences, and the impact of obesity on AD-related biomarkers, paving the way for future research in early AD detection strategies and cognitive impairment classification.
Authors
- Alessander Danna‐dos‐Santos (ORCID: https://orcid.org/0000-0003-0070-1205)
- Bradley J. Bazuin (ORCID: https://orcid.org/0000-0002-3638-3176)
- Aya Hassouneh (ORCID: https://orcid.org/0000-0003-4617-4535)
- Saad Shebrain (ORCID: https://orcid.org/0000-0002-7926-7351)
- Ikhlas M. Abdel-Qader (ORCID: https://orcid.org/0000-0002-7446-8904)
Institutions
- Western Michigan University (US)
- Stryker (United States) (US)
Publication Details
- Journal
- Digital Biomarkers
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1159/000543165
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.49
Funders
- Western Michigan University
- Alzheimer's Disease Neuroimaging Initiative