6 citations · 10 across the 2 of their papers we have counts for
3 papers
2.5D Deep Learning for CT Image Reconstruction using a Multi-GPU implementation
Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava +3
While Model Based Iterative Reconstruction (MBIR) of CT scans has been shown to have better image quality than Filtered Back Projection (FBP), its use has been limited by its high…
Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac CT
Amirkoushyar Ziabari, Dong Hye Ye, Lin Fu +4
With the recent introduction of CT scanners with large cone angles, wide coverage detectors now provide a desirable scanning platform for cardiac CT that allows whole heart imaging…
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
Ruoqiao Zhang, Dong Hye Ye, Debashish Pal +3
Markov random fields (MRFs) have been widely used as prior models in various inverse problems such as tomographic reconstruction. While MRFs provide a simple and often effective wa…