46 citations · 59 across the 2 of their papers we have counts for
2 papers
physics.med-ph2021★ 13 cited
Using Uncertainty in Deep Learning Reconstruction for Cone-Beam CT of the Brain
Pengwei Wu, Alejandro Sisniega, Ali Uneri +7
Contrast resolution beyond the limits of conventional cone-beam CT (CBCT) systems is essential to high-quality imaging of the brain. We present a deep learning reconstruction metho…
physics.med-ph2017★ 46 cited
Model-based Iterative Reconstruction for Flat-Panel Cone-Beam CT with Focal Spot Blur, Detector Blur, and Correlated Noise
Steven Tilley, Jeffrey H. Siewerdsen, J. Webster Stayman
While model-based reconstruction methods have been successfully applied to flat-panel cone-beam CT (FP-CBCT) systems, typical implementations ignore both spatial correlations in th…