Browsing Department of Information and Communication Technology by Subject "Alzheimer’s disease"

Now showing items 1-2 of 2

Classification of Alzheimer’s Disease Stages using Weighted Brain Connectivity based Graph Convolutional Neural Network

Janany, S.; Logiraj, K.; Srivishagan, S.; Tuvensha, J.; Kokul, T.; Nagulan, R. (IEEE, 2025)

Alzheimer’s disease (AD) is a progressive neurode-generative disorder that manifests in distinct stages, including cognitively normal (CN), mild cognitive impairment (MCI), and severe AD. An early and precise classification ...
Functional Biomarkers of Alzheimer’s Disease: Explainable AI using Resting-State fMRI

Sivasothy, P.; Kumaralingam, L.; Tuvensha, J.; Srivishagan, S.; Thanikasalam, K.; Nagulan, R. (IEEE, 2025)

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, highlighting the urgent need for early and reliable diagnostic tools. Biomarkers, measurable indicators of disease presence ...

Search