Browsing Department of Information and Communication Technology by Subject "explainable AI"

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Explainable Graph Attention Networks for Identifying Structural Brain Connectivity Changes Across Normal Aging

Vaitheeswaran, T.; Nagulan, R.; Srivishagan, S.; Pavithira, K.; Logiraj, I.; Hariharan, I.; Varatharasa, V. (IEEE, 2026)

Normal brain aging refers to the gradual and natural changes in brain structure and function that occur as individuals grow older, in the absence of neurodegenerative diseases such as Alzheimer’s disease. Identifying ...
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 ...

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