Author

Adham Atyabi

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Open access Sep 2026

Explainable Hybrid GRU–TabTransformer Learning with Cross-Attention and LLM-Assisted Interpretation for Stroke Risk Prediction

Early stroke risk prediction offers an opportunity for timely interventions and may help reduce the clinical burden associated with stroke. Artificial intelligence (AI) provides medical practitioners with tools to analyse clinical biomarkers and predict a patient’s stroke risk. However, existing models lack interpretab...

Moses Guddah, Adham Atyabi · Applied Informatics · 0 citations

Jul 2026

Multimodal Pretraining for Generalizable EEG Representation Learning

Electroencephalography (EEG) models used for epilepsy are often limited to specific datasets and tasks. This limited approach can make it challenging to apply these models across different datasets or in various situations. However, recent studies in foundation models and self-supervised learning suggest that an adapta...

Targol Bakhtiarvand, J. Kalita, Adham Atyabi · arXiv.org · 0 citations