A half-quadratic splitting algorithm with a CNN denoiser, trained memory-efficiently per iteration, gives higher PSNR/SSIM than FDK, MBIR, and U-Net on sparse-view Walnut CBCT data.
Enabling rapid x-ray ct characterisation for additive manufacturing using cad models and deep learning-based reconstruc- tion,
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A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
A half-quadratic splitting algorithm with a CNN denoiser, trained memory-efficiently per iteration, gives higher PSNR/SSIM than FDK, MBIR, and U-Net on sparse-view Walnut CBCT data.