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Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation
Clinical decision-making for coronary intervention relies mainly on angiography and fractional flow reserve (FFR). However, angiography is two-dimensional and lacks depth information for 3D lesion characterization, while FFR provides only a single functional index, offering limited hemodynamic insig
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