Gregery T. Buzzard

Orcid: 0000-0001-9777-3090

Affiliations:
  • Purdue University, Department of Mathematics, USA


According to our database1, Gregery T. Buzzard authored at least 71 papers between 2007 and 2024.

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Bibliography

2024
An optimization based limiter for enforcing positivity in a semi-implicit discontinuous Galerkin scheme for compressible Navier-Stokes equations.
J. Comput. Phys., 2024

Pixel-Weighted Multi-Pose Fusion for Metal Artifact Reduction in X-Ray Computed Tomography.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

2023
Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography.
IEEE Trans. Computational Imaging, 2023

Model-Based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems.
IEEE Trans. Computational Imaging, 2023

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications.
IEEE Signal Process. Mag., 2023

Texture Matching GAN for CT Image Enhancement.
CoRR, 2023

X-Ray Spectral Estimation Using Dictionary Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography.
Proceedings of the IEEE International Conference on Image Processing, 2023

Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium.
Proceedings of the IEEE International Conference on Image Processing, 2023

An Edge Alignment-Based Orientation Selection Method for Neutron Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generative Plug and Play: Posterior Sampling for Inverse Problems.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

DYNAMIC DH-MBIR FOR PHASE-ERROR ESTIMATION FROM STREAMING DIGITAL-HOLOGRAPHY DATA.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Multi-Resolution Data Fusion for Super Resolution Imaging.
Dataset, May, 2022

Multi-Resolution Data Fusion for Super Resolution Imaging.
IEEE Trans. Computational Imaging, 2022

Model-Based Reconstruction for Collimated Beam Ultrasound Systems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction.
IEEE Trans. Computational Imaging, 2021

Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Sparse-View CT Reconstruction using Recurrent Stacked Back Projection.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power.
IEEE Trans. Control. Syst. Technol., 2020

Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium.
IEEE Trans. Computational Imaging, 2020

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery.
IEEE Signal Process. Mag., 2020

2019
Pointwise Besov Space Smoothing of Images.
J. Math. Imaging Vis., 2019

Plug and play methods for magnetic resonance imaging.
CoRR, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2019

4D X-Ray CT Reconstruction using Multi-Slice Fusion.
Proceedings of the IEEE International Conference on Computational Photography, 2019

2018
A Framework for Dynamic Image Sampling Based on Supervised Learning.
IEEE Trans. Computational Imaging, 2018

Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium.
SIAM J. Imaging Sci., 2018

Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions.
SIAM J. Control. Optim., 2018

A global tolerance approach to sensitivity analysis in linear programming.
Eur. J. Oper. Res., 2018

State and unknown input observers for nonlinear systems with delayed measurements.
Autom., 2018

Deep Back Projection for Sparse-View CT Reconstruction.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging.
Proceedings of the Computational Imaging XVI, Burlingame, 2018

Distributed Framework for Fast Iterative CT Reconstruction from View-subsets.
Proceedings of the Computational Imaging XVI, Burlingame, 2018

Separable Models for cone-beam MBIR Reconstruction.
Proceedings of the Computational Imaging XVI, Burlingame, 2018

2017
Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multiclass Support Vector Machines.
IEEE Trans. Ind. Electron., 2017

Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences.
IEEE Trans. Autom. Control., 2017

State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs.
IEEE Trans. Autom. Control., 2017

A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS).
CoRR, 2017

Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium.
CoRR, 2017

Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering.
Proceedings of the Computational Imaging XV, Burlingame, 2017

A Model Based Neuron Detection Approach using Sparse Location Priors.
Proceedings of the Computational Imaging XV, Burlingame, 2017

Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices.
Proceedings of the 2017 American Control Conference, 2017

Ultrafast embedded explicit model predictive control for nonlinear systems.
Proceedings of the 2017 American Control Conference, 2017

2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation.
IEEE Trans. Computational Imaging, 2016

A Supervised Learning Approach for Dynamic Sampling.
Proceedings of the Computational Imaging XIV, San Francisco, 2016

Sampling-based explicit nonlinear model predictive control for output tracking.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Unknown input estimation via observers for nonlinear systems with measurement delays.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed unknown input observers for interconnected nonlinear systems.
Proceedings of the 2016 American Control Conference, 2016

2015
Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty.
PLoS Comput. Biol., 2015

Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions.
Eur. J. Oper. Res., 2015

Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers.
CoRR, 2015

2014
Multiple Model-Informed Open-Loop Control of Uncertain Intracellular Signaling Dynamics.
PLoS Comput. Biol., 2014

Model-Based Analysis for Qualitative Data: An Application in <i>Drosophila</i> Germline Stem Cell Regulation.
PLoS Comput. Biol., 2014

A model-based framework for fast dynamic image sampling.
Proceedings of the IEEE International Conference on Acoustics, 2014

Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systems.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Robust explicit nonlinear model predictive control with integral sliding mode.
Proceedings of the American Control Conference, 2014

2013
Optimal filters for high-speed compressive detection in spectroscopy.
Proceedings of the Computational Imaging XI, 2013

2012
Sparse-Grid-Based Adaptive Model Predictive Control of HL60 Cellular Differentiation.
IEEE Trans. Biomed. Eng., 2012

Global sensitivity analysis using sparse grid interpolation and polynomial chaos.
Reliab. Eng. Syst. Saf., 2012

Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Steady state probability approximation applied to stochastic model of biological network.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Feasible parameter space characterization with adaptive sparse grids for nonlinear systems biology models.
Proceedings of the American Control Conference, 2011

2010
Modeling Mitochondrial Bioenergetics with Integrated Volume Dynamics.
PLoS Comput. Biol., 2010

2009
Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models.
Proceedings of the American Control Conference, 2009

2008
Computationally Efficient Strategy for Modeling the Effect of Ion Current Modifiers.
IEEE Trans. Biomed. Eng., 2008

Sharp Interface and Voltage Conservation in the Phase Field Method: Application to Cardiac Electrophysiology.
SIAM J. Sci. Comput., 2008

2007
Massively Parallel Simulation of Cardiac Electrical Wave Propagation on Blue Gene.
Proceedings of the Parallel Computing: Architectures, 2007


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