GaussianReg: Rapid 2D/3D Registration for Emergency Surgery Via Explicit 3D Modeling with Gaussian Primitives

existing methods. Our approach thus offers a promising solution for emergency surgical scenarios where rapid adaptation to patient-specific anatomy is critical. Code will be publicly available at https://github.com/CUHK- AIM-Group/GaussianReg.