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Author

Ali Mokhtari

3 papers indexed here

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Open access Oct 2026

Hemodynamic and Geometrical Parameters Associated with Carotid Artery Stenosis: A Cross-Sectional Study Using 4D Flow MRI and CFD.

PURPOSE Carotid geometry and local hemodynamics are closely associated with atherosclerosis, yet how anatomy and disturbed flow jointly mark disease presence and relate to pro-atherogenic flow in still-non-stenosed bifurcations remains unresolved. This study quantifies the cross-sectional association between three-dime...

Ali Mokhtari, Ariel Bergmann, C. Strecker et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Attention-guided super-resolution of 4D flow MRI in carotid arteries

A deep learning-based super-resolution framework that integrates multi-scale feature extraction and attention mechanisms to enhance the quality of 4D flow MRI data and support the use of deep learning to extend the clinical utility of 4D flow MRI for non-invasive hemodynamic assessment.

Ali Mokhtari, Dominik Obrist · 0 citations

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