32 citations · 40 across the 6 of their papers we have counts for
8 papers
Hexagonal Basis Projectors for Model-Based Iterative CT Reconstruction
Ke Chen, Alireza Entezari
Image representation affects both the forward model and quantitative feature recovery in model-based iterative CT reconstruction. For isotropically bandlimited signals, the hexagon…
A Global Constraint to Improve CT Reconstruction Under Non-Ideal Conditions
Ziyu Shu, Alireza Entezari
Background and Objective: The strong demand for medical imaging applications leads to the popularity of the CT reconstruction problem. Researchers proposed multiple constraints to…
Residual Back Projection With Untrained Neural Networks
Ziyu Shu, Alireza Entezari
Background and Objective: The success of neural networks in a number of image processing tasks has motivated their application in image reconstruction problems in computed tomograp…
Kaczmarz and Gauss-Seidel Algorithms with Volume Sampling
Alireza Entezari, Arunava Banerjee, Leila Kalantari
The method of Alternating Projections (AP) is a fundamental iterative technique with applications to problems in machine learning, optimization and signal processing. Examples incl…
Statistical Rendering for Visualization of Red Sea Eddy Simulation Data
Tushar M. Athawale, Alireza Entezari, Bei Wang +1
Analyzing the effects of ocean eddies is important in oceanology for gaining insights into transport of energy and biogeochemical particles. We present an application of statistica…
Direct Volume Rendering with Nonparametric Models of Uncertainty
Tushar Athawale, Bo Ma, Elham Sakhaee +2
We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statis…
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction
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. We propose a method to improve t…
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
Kai Zhang, Alireza Entezari
Iterative methods for tomographic image reconstruction have great potential for enabling high quality imaging from low-dose projection data. The computational burden of iterative r…