Noise characteristics modeled unsupervised network for robust CT image reconstruction
Deep learning (DL)-based methods show great potential in computed tomography (CT)
imaging field. The DL-based reconstruction methods are usually evaluated on the training …
imaging field. The DL-based reconstruction methods are usually evaluated on the training …
Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction.
D Li, Z Bian, S Li, J He, D Zeng, J Ma - IEEE Transactions on …, 2022 - europepmc.org
Deep learning (DL)-based methods show great potential in computed tomography (CT)
imaging field. The DL-based reconstruction methods are usually evaluated on the training …
imaging field. The DL-based reconstruction methods are usually evaluated on the training …
Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction
D Li, Z Bian, S Li, J He, D Zeng… - IEEE transactions on …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep learning (DL)-based methods show great potential in computed tomography (CT)
imaging field. The DL-based reconstruction methods are usually evaluated on the training …
imaging field. The DL-based reconstruction methods are usually evaluated on the training …