Author

Azlan B. Abd Aziz

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Open access Oct 2026

Integrating Spatial, Spectral, and Wavelet Domains via Global–Local Attention for Robust Multi-Modal MRI Super-Resolution

Super-resolution (SR) facilitates high-fidelity mapping beyond the spatial resolution capacity of clinical neuro-oncology MRI. While state-of-the-art deep learning algorithms have augmented this domain, such methods exclusively learn from spatial or spectral domains and are often compounded by tumor boundary over-smoot...

Mohammad R. Hassan, N. Alshdaifat, H. Abu Owida et al. · Algorithms · 0 citations

Open access Jul 2026

TRT-GLA: Tri-Representation Transformers with Global-Local Attention for High-Fidelity Multi-Modal MRI Super-Resolution

A Tri-Representation hybrid framework for MRI SR, TRT-GLA is proposed that redefines the MRI SR task as a joint spatial–spectral–structural high-resolution image generation problem, and establishes the utility of TRT-GLA in supporting quantitative analysis through a downstream tumor segmentation experiment that is clin...

Suhaila Abuowaida, H. Owida, T. Hamadneh et al. · Algorithms · 0 citations

Open access Aug 2026

Artificial intelligence model: optimizing cancer risk level predictions using machine learning and deep learning approaches

The RF model’s ability to effectively estimate cancer risk levels among individuals, allowing for earlier discovery and more effective medical care is demonstrated, resulting in reliable generalization and accuracy estimates.

Areen M. Arabiat, H. Owida, Suhaila Abuowaida et al. · bioRxiv · 0 citations