Anees Abrol
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Anees Abrol is a Research Scientist II at the TReNDS Center and Georgia State University. He investigates advanced machine learning, signal-processing, and deep data fusion frameworks to study complex interactions in multimodal brain imaging data. His work includes end-to-end deep learning models aimed at identifying disease biomarkers, predicting progression to brain abnormalities, and evaluating treatment effects in people with cognitive impairments. He is also known for research on explainable neuroimaging models, lower-dimensional representations, and the disease characterization and prediction utility of time-varying functional connectivity state profiles of the resting human brain.
Updated 9 September 2026
Public sources: trendscenter.org
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