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eess.IV2026
LightHybridNet: A Lightweight Hybrid Deep Learning Framework for Efficient Multi-Label Ophthalmic Disease Classification in Imbalanced Fundus Images
Hem Raj Dadral Najam Ul Hasan, Naveed Ejaz, Muhammad Aslam Jarwar
Eye diseases are a major global cause of blindness and vision impairment, highlighting the need for accurate and early diagnosis to prevent further deterioration. Despite advances…
cs.LG2026
Towards Modality-Agnostic Seizure Classification: A Unified Deep Learning Framework for Heterogeneous EEG and Intracranial EEG Signals
Ramya Sundaram, Muhammad Aslam Jarwar, M Uma +2
Seizure prediction and detection, essential for clinical treatment of epilepsy, remain the crucial task of this neurological disease. EEG and iEEG are widely used to analyze epilep…