1 citations · 1 across the 4 of their papers we have counts for
4 papers
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
Natalie M. Jadue, Madhuri Nagare, Jonathan S. Maltz +2
X-ray computed tomography (CT) based on photon counting detectors (PCD) extends standard CT by counting detected photons in multiple energy bins. PCD data can be used to increase t…
Texture Matching GAN for CT Image Enhancement
Madhuri Nagare, Gregery T. Buzzard, Charles A. Bouman
Deep neural networks (DNN) are commonly used to denoise and sharpen X-ray computed tomography (CT) images with the goal of reducing patient X-ray dosage while maintaining reconstru…
Design of Novel Loss Functions for Deep Learning in X-ray CT
Obaidullah Rahman, Ken D. Sauer, Madhuri Nagare +4
Deep learning (DL) shows promise of advantages over conventional signal processing techniques in a variety of imaging applications. The networks' being trained from examples of dat…
MBIR Training for a 2.5D DL network in X-ray CT
Obaidullah Rahman, Madhuri Nagare, Ken D. Sauer +4
In computed tomographic imaging, model based iterative reconstruction methods have generally shown better image quality than the more traditional, faster filtered backprojection te…