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Author

Abdullah Al-Amaren

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Aug 2026

Training boost: a new image representation for enhanced edge detection in neural networks

OL-RGB is an input representation that amplifies inter-region contrast without extra sensors, extra annotation, or any change to the network, and is on par with recent transformer-based detectors that need one to two orders of magnitude more inference parameters, although it remains below the strongest diffusion-based...

Abdullah Al-Amaren, Rami Al-ouran, Saed Alrabaee · 0 citations
Open access 2026

Detecting Data Poisoning Attacks in Medical Imaging Using Explainability-Driven Features

This work proposes a model-centric Explainable Artificial Intelligence (XAI)-based approach to identify data poisoning in medical imaging classifiers and introduces an explainability-driven paradigm for post-training poisoning detection in medical imaging systems.

Akhila Asgar, Ahmed Saleh Bataineh, Ashika Sameem Abdul Rasheed et al. · 0 citations

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