A modified U-Net reduced sparse-view artifacts in simulated 3D angiography volumes, but the evaluation uses FDK reconstructions as ground truth and lacks independent validation.
Color -coded digital subtraction angiography: the end of a monochromatic era?,
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Leveraging Convolutional Neural Networks for 3D Quantitative Angiography Reconstructions from Sparse Cone Beam CT Projections Utilizing CFD Data
A modified U-Net reduced sparse-view artifacts in simulated 3D angiography volumes, but the evaluation uses FDK reconstructions as ground truth and lacks independent validation.