221 citations · 1.5k across the 104 of their papers we have counts for
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Moments Matter: Posterior Recovery in Poisson Denoising via Log-Networks
Shirin Shoushtari, Edward P. Chandler, Ulugbek S. Kamilov
Poisson denoising plays a central role in photon-limited imaging applications such as microscopy, astronomy, and medical imaging. It is common to train deep learning models for den…
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
Zihao Zou, Shirin Shoushtari, Jiaming Liu +6
Nuclear Magnetic Resonance (NMR) spectroscopy is a widely-used technique in the fields of bio-medicine, chemistry, and biology for the analysis of chemicals and proteins. The signa…
PnP Restoration with Domain Adaptation for SANS
Shirin Shoushtari, Edward P. Chandler, Jialiang Zhang +4
Small Angle Neutron Scattering (SANS) is a non-destructive technique utilized to probe the nano- to mesoscale structure of materials by analyzing the scattering pattern of neutrons…
Provable Convergence of Plug-and-Play Priors with MMSE denoisers
Xiaojian Xu, Yu Sun, Jiaming Liu +2
Plug-and-play priors (PnP) is a methodology for regularized image reconstruction that specifies the prior through an image denoiser. While PnP algorithms are well understood for de…
Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization
Tao Ge, Umberto Villa, Ulugbek S. Kamilov +1
Non-smooth regularization is widely used in image reconstruction to eliminate the noise while preserving subtle image structures. In this work, we investigate the use of proximal N…
Plug-In Stochastic Gradient Method
Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov
Plug-and-play priors (PnP) is a popular framework for regularized signal reconstruction by using advanced denoisers within an iterative algorithm. In this paper, we discuss our rec…