We proposed a new network-based iterative CBCT reconstruction method that addresses issues such as data deficiency and unknown noise level to train the network.
Apr 25, 2018 · We developed a novel SIR algorithm using a neural network for CBCT reconstruction. We used a data-driven method to learn the “potential ...
We developed a novel SIR algorithm using a neural network for CBCT reconstruction. We used a data-driven method to learn the "potential regularization term" ...
This is an implementation of Statistical Iterative CBCT Reconstruction Based on Neural Network - HUST-Tan/Deblur-CBCT.
Apr 30, 2018 · We developed a novel SIR algorithm using a neural network for CBCT reconstruction. We used a data-driven method to learn the “potential ...
Apr 4, 2022 · These results suggest the potential for fast processing of arbitrary CBCT trajectory data with reconstruction ... based Iterative Reconstruction ( ...
Missing: Statistical | Show results with:Statistical
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Statistical Iterative CBCT Reconstruction Based on Neural Network. Overview of attention for article published in IEEE Transactions on Medical Imaging, May ...
Jan 17, 2024 · We propose a fast and accurate sparse-view CBCT reconstruction (FACT) method to provide better reconstruction quality and faster optimization speed.
Missing: Statistical | Show results with:Statistical
We develop a Joint Denoising and Interpolating Network (JDINet) in projection domain to improve the CBCT quality with the hybrid low-intensity and sparse-view ...