Author

Akram Qashou

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#graph neural networks Open access Sep 2026

RMGAT: a Relational Multi-Scale Graph Attention Network for spatial transcriptomics domain identification with systematic component ablation

Mapping spatially coherent tissue domains from spatial transcriptomics data is a prerequisite for characterizing cell-type, developmental patterning, and disease-associated disruptions of tissue architecture. While graph neural network (GNN) methods have substantially improved domain identification over expressio...

M. Al-Taie, Firas Hazzaa, Akram Qashou et al. · BMC Bioinformatics · 0 citations

Open access Aug 2026

Contrastive self-supervised learning for epileptic seizure detection from EEG with calibration and robustness evaluation under physiology-aligned perturbations

Labelled EEG data for epileptic seizure detection are scarce, and clinical recordings routinely suffer from realistic signal degradation including electrode loss, baseline drift, and sampling jitter. We present a proof-of-concept study applying contrastive self-supervised learning (SSL) to EEG epileptic seizure detecti...

M. Al-Taie, Firas Hazzaa, Akram Qashou · Discover Artificial Intellig... · 0 citations