no code implementations • 17 Apr 2024 • Ziyu Shu, Zhixin Pan
SDIP efficiently utilizes this trait in a reinforcement learning manner, where the current iteration's output is utilized by a steering algorithm to update the network input for the next iteration, guiding the algorithm toward improved results.
no code implementations • 19 Dec 2022 • Ziyu Shu, Alireza Entezari
Conclusions: Different from most current constraints focusing on the local prior, our proposed constraint only utilizes the global prior of CT images.
no code implementations • 26 Oct 2022 • Ziyu Shu, Alireza Entezari
In this paper, we present a framework for iterative reconstruction (IR) in CT that leverages the hierarchical structure of neural networks, without the need for training.
no code implementations • 27 May 2020 • Ziyu Shu, Alireza Entezari
The key aspect of parallel-beam X-ray CT is forward and back projection, but its computational burden continues to be an obstacle for applications.