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Author

Turgay Batbat

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Open access Sep 2026

Feature-Based Machine-Learning Spike Marking in Signal and Source Space EEG: A Proof-of-Principle Case Study of Focal Epilepsy

Accurate detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG) plays a crucial role in epilepsy diagnosis. Our work investigates the classification of IEDs using Artificial Neural Networks (ANNs) trained on EEG data represented in both signal and source space, in a proof-of-principle ca...

L. Jafarova, Demet Yeşi̇lbaş, Christoph Kellinghaus et al. · 0 citations
Open access Sep 2026

A3Net: A Lightweight Attention-Guided Encoder–Decoder for Multi-Class Brain Tumor Segmentation with Cross-Dataset Domain Gap Characterization

Accurate multi-class segmentation of brain tumors from T1-weighted contrast-enhanced MRI is essential for surgical planning and treatment monitoring, yet existing high-performance architectures exceed 30 M parameters, limiting deployment in resource-constrained clinical settings. This work introduces A3Net, a lightweig...

Turgay Batbat, Ezzaldeen H. A. Abukhattab · 0 citations

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