3 papers
physics.med-ph2026
Imaging-Derived Coronary Fractional Flow Reserve: Advances in Physics-Based, Machine Learning, and Physics-Informed Methods
Tanxin Zhu, Emran Hossen, Chen Zhao +4
Purpose of Review Imaging derived fractional flow reserve (FFR) is rapidly evolving beyond conventional computational fluid dynamics (CFD) based pipelines toward machine learning (…
cs.CV2025
Anatomy Guided Coronary Artery Segmentation from CCTA Using Spatial Frequency Joint Modeling
Huan Huang, Michele Esposito, Chen Zhao
Accurate coronary artery segmentation from coronary computed tomography angiography is essential for quantitative coronary analysis and clinical decision support. Nevertheless, rel…
cs.CV2025
Blood Pressure Prediction for Coronary Artery Disease Diagnosis using Coronary Computed Tomography Angiography
Rene Lisasi, Michele Esposito, Chen Zhao
Computational fluid dynamics (CFD) based simulation of coronary blood flow provides valuable hemodynamic markers, such as pressure gradients, for diagnosing coronary artery disease…