301 citations · 872 across the 44 of their papers we have counts for
5 papers · 1 filter
Generative Plug and Play: Posterior Sampling for Inverse Problems
Charles A. Bouman, Gregery T. Buzzard
Over the past decade, Plug-and-Play (PnP) has become a popular method for reconstructing images using a modular framework consisting of a forward and prior model. The great strengt…
Plug and play methods for magnetic resonance imaging (long version)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard +4
Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic tool that provides excellent soft-tissue contrast without the use of ionizing radiation. Compared to other clinical im…
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari +1
Regularized inversion methods for image reconstruction are used widely due to their tractability and ability to combine complex physical sensor models with useful regularity criter…
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)
G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic +3
Sparse sampling schemes have the potential to dramatically reduce image acquisition time while simultaneously reducing radiation damage to samples. However, for a sparse sampling s…
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg +3
Many material and biological samples in scientific imaging are characterized by non-local repeating structures. These are studied using scanning electron microscopy and electron to…