no code implementations • 26 Mar 2021 • Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
Many techniques have been proposed for image reconstruction in medical imaging that aim to recover high-quality images especially from limited or corrupted measurements.
no code implementations • 6 Oct 2020 • Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar
The proposed learning formulation combines both unsupervised learning-based priors (or even simple analytical priors) together with (supervised) deep network-based priors in a unified MBIR framework based on a fixed point iteration analysis.
no code implementations • 27 Feb 2020 • Siqi Ye, Yong Long, Il Yong Chun
We also investigated the spectral normalization technique that applies to image refining NN learning to satisfy the nonexpansive NN property; however, experimental results show that this does not improve the image reconstruction performance of Momentum-Net.
no code implementations • 26 Oct 2019 • Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar
Recent works have shown the promising reconstruction performance of methods such as PWLS-ULTRA that rely on clustering the underlying (reconstructed) image patches into a learned union of transforms.
1 code implementation • 27 Aug 2018 • Siqi Ye, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
The SPULTRA algorithm has a similar computational cost per iteration as its recent counterpart PWLS-ULTRA that uses post-log measurements, and it provides better image reconstruction quality than PWLS-ULTRA, especially in low-dose scans.
Signal Processing Image and Video Processing Optimization and Control Medical Physics