activity
20162021
most citedPhase-error estimation and image reconstruction from digital-holography data using a Bayesian framework

47 citations · 63 across the 7 of their papers we have counts for

collaborators
Showing eess.IVShow all

10 papers · 1 filter

eess.IV20214 cited

Hyperspectral Neutron CT with Material Decomposition

Thilo Balke, Alexander M. Long, Sven C. Vogel +2

Energy resolved neutron imaging (ERNI) is an advanced neutron radiography technique capable of non-destructively extracting spatial isotopic information within a given material. En…

eess.IV2021

Ultra-Sparse View Reconstruction for Flash X-Ray Imaging using Consensus Equilibrium

Maliha Hossain, Shane C. Paulson, Hangjie Liao +2

A growing number of applications require the reconstructionof 3D objects from a very small number of views. In this research, we consider the problem of reconstructing a 3D object…

eess.IV2020

Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction

Soumendu Majee, Thilo Balke, Craig A. J. Kemp +2

Inverse problems spanning four or more dimensions such as space, time and other independent parameters have become increasingly important. State-of-the-art 4D reconstruction method…

eess.IV2019

Distributed Iterative CT Reconstruction using Multi-Agent Consensus Equilibrium

Venkatesh Sridhar, Xiao Wang, Gregery T. Buzzard +1

Model-Based Image Reconstruction (MBIR) methods significantly enhance the quality of computed tomographic (CT) reconstructions relative to analytical techniques, but are limited by…

eess.IV2019

4D X-Ray CT Reconstruction using Multi-Slice Fusion

Soumendu Majee, Thilo Balke, Craig A. J. Kemp +2

There is an increasing need to reconstruct objects in four or more dimensions corresponding to space, time and other independent parameters. The best 4D reconstruction algorithms u…

eess.IV20186 cited

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…