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  1. Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics
  2. A semi-analytical solution and AI-based reconstruction algorithms for magnetic particle tracking
  3. Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels