Author

M. Khan

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Open access Aug 2026

A Hierarchical Ensemble Deep Learning Framework for Angiographic Blood Vessel Segmentation and Coronary Artery Disease Classification

Artificial Intelligence (AI) and deep learning have revolutionized medical image analysis by enabling accurate, efficient, and automated disease diagnosis across diverse healthcare applications. In cardiovascular medicine, these technologies have significantly improved the analysis of coronary angiographic images, supp...

Abdullah A, Nizam Ahmad, H. Nabi et al. · International Journal of Inn... · 0 citations

Open access Aug 2026

Deep Feature Fusion with a Hybrid CNN–Transformer Framework for High-Fidelity Coronary Angiography Enhancement and Fine Vascular Structure Preservation

Coronary Artery Disease (CAD) is a major cause of mortality worldwide, and X-ray coronary angiography remains an important imaging modality for evaluating coronary artery morphology and stenosis. However, low contrast, noise, motion blur, and compression artifacts can degrade angiographic images, obscure fine vascular...

Romaan Khan, Muhammad Younas, Nizam Ahmad et al. · International Journal of Inn... · 0 citations

Open access Sep 2026

Group-Aware and Explainable Machine Learning Framework for Heart Disease Prediction Using Optimized CatBoost

Accurate and reliable heart disease prediction can support early risk assessment and improve clinical decision-making. However, repeated or duplicate observations in widely used heart disease datasets can introduce data leakage and lead to overly optimistic performance estimates. This study proposes a duplicate-aware a...

Romaan Khan, Tufail Khan, Muhammad Tahir et al. · International Journal of Inn... · 0 citations