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M. Umair

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Review Open access 2026

Explainable and Trustworthy AI in Oncology: A Systematic Review Across Major Organ Systems

The increasing adoption of AI in cancer diagnosis requires transparency and interpretability, particularly in AI-based clinical decision support systems. However, the inherent complexity and opacity of many AI models hinder their clinical acceptance and integration into healthcare workflows. This systematic review prov...

Muhammad Hassan, Muhammad Zubair, Rozeena Ibrahim et al. · 0 citations
#natural language process... Preprint Sep 2026

Using Semantic Uncertainty to Estimate Transition Relevance in Turn-taking

Turn-taking is a fundamental mechanism that governs when interlocutors speak and listen. Although Spoken Dialogue Systems (SDS) exploit a range of linguistic, acoustic, and non-verbal cues, they produce ill-timed responses in unscripted interaction. A central challenge is anticipating Transition Relevance Places (TRPs)...

Muhammad Umair, J. D. de Ruiter · 0 citations
Open access 2026

Towards Effective Noise Removal and Visual Enhancement Using CILA-SegNet for Color Casting and Illumination Distortions in Underwater Images

A deep learning based framework using MSRCC-Net by adding Adaptive Feature Decoupling Module (AFDM) and Hierarchical Feature Encoder (HFE) as novelty to correct color imbalance while simultaneously normalizing illumination variations and produces visually coherent, high-quality underwater images suitable for real-world...

Ishmal Nayab, M. Umair, Maham Mehr et al. · 0 citations

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