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Gregery T. Buzzard
Greg Buzzard
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- affiliation: Purdue University, Department of Mathematics, USA
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2020 – today
- 2024
- [j29]Chen Liu, Gregery T. Buzzard, Xiangxiong Zhang
:
An optimization based limiter for enforcing positivity in a semi-implicit discontinuous Galerkin scheme for compressible Navier-Stokes equations. J. Comput. Phys. 519: 113440 (2024) - [c36]Diyu Yang, Craig A. J. Kemp, Soumendu Majee, Gregery T. Buzzard, Charles A. Bouman:
Pixel-Weighted Multi-Pose Fusion for Metal Artifact Reduction in X-Ray Computed Tomography. MMSP 2024: 1-6 - 2023
- [j28]Ulugbek S. Kamilov
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications. IEEE Signal Process. Mag. 40(1): 85-97 (2023) - [j27]Abdulrahman M. Alanazi
Model-Based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems. IEEE Trans. Computational Imaging 9: 904-916 (2023) - [j26]Qiuchen Zhai
Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography. IEEE Trans. Computational Imaging 9: 1058-1070 (2023) - [c35]Ali G. Sheikh, Casey J. Pellizzari, Sherman J. Kisner, Gregery T. Buzzard, Charles A. Bouman:
DYNAMIC DH-MBIR FOR PHASE-ERROR ESTIMATION FROM STREAMING DIGITAL-HOLOGRAPHY DATA. ACSSC 2023: 784-788 - [c34]Charles A. Bouman, Gregery T. Buzzard:
Generative Plug and Play: Posterior Sampling for Inverse Problems. Allerton 2023: 1-7 - [c33]Diyu Yang, Shimin Tang
An Edge Alignment-Based Orientation Selection Method for Neutron Tomography. ICASSP 2023: 1-5 - [c32]Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman:
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium. ICIP 2023: 336-340 - [c31]Wenrui Li, Venkatesh Sridhar, K. Aditya Mohan, Saransh Singh, Jean-Baptiste Forien
X-Ray Spectral Estimation Using Dictionary Learning. ICIP 2023: 890-894 - [c30]Mohammad Samin Nur Chowdhury
Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography. ICIP 2023: 1280-1284 - [i11]Charles A. Bouman, Gregery T. Buzzard:
Generative Plug and Play: Posterior Sampling for Inverse Problems. CoRR abs/2306.07233 (2023) - [i10]Madhuri Nagare, Gregery T. Buzzard, Charles A. Bouman:
Texture Matching GAN for CT Image Enhancement. CoRR abs/2312.13422 (2023) - 2022
- [j25]Emma J. Reid
Multi-Resolution Data Fusion for Super Resolution Imaging. IEEE Trans. Computational Imaging 8: 81-95 (2022) - [c29]Diyu Yang, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium. Allerton 2022: 1-5 - [c28]Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Hector J. Santos-Villalobos
Model-Based Reconstruction for Collimated Beam Ultrasound Systems. ICASSP 2022: 1601-1605 - [e4]Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson:
Computational Imaging XX, online, January 15-26, 2022. Society for Imaging Science and Technology 2022 [contents] - [d1]Emma J. Reid, Gregery T. Buzzard, Lawrence F. Drummy, Charles A. Bouman:
Multi-Resolution Data Fusion for Super Resolution Imaging. IEEE DataPort, 2022 - 2021
- [j24]Soumendu Majee
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction. IEEE Trans. Computational Imaging 7: 448-462 (2021) - [j23]Ankush Chakrabarty
Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 405-419 (2021) - [c27]Wenrui Li, Gregery T. Buzzard, Charles A. Bouman:
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection. ACSCC 2021: 862-866 - [c26]Qiuchen Zhai, Brendt Wohlberg, Gregery T. Buzzard, Charles A. Bouman:
Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction. ACSCC 2021: 1694-1698 - [e3]Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson:
Computational Imaging XIX, Virtual Event, 11-28 January 2021. Society for Imaging Science and Technology 2021 [contents] - [i9]Wenrui Li, Gregery T. Buzzard, Charles A. Bouman:
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection. CoRR abs/2112.04998 (2021) - 2020
- [j22]Rizwan Ahmad, Charles A. Bouman
Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. IEEE Signal Process. Mag. 37(1): 105-116 (2020) - [j21]Venkatesh Sridhar
Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium. IEEE Trans. Computational Imaging 6: 1153-1166 (2020) - [j20]Arnab Raha
Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power. IEEE Trans. Control. Syst. Technol. 28(3): 1092-1099 (2020) - [e2]Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson:
Computational Imaging XVIII, Burlingame, California, USA, 26-30 January 2020. Society for Imaging Science and Technology 2020 [contents] - [i8]Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction. CoRR abs/2008.01567 (2020)
2010 – 2019
- 2019
- [j19]Gregery T. Buzzard
Pointwise Besov Space Smoothing of Images. J. Math. Imaging Vis. 61(1): 1-20 (2019) - [c25]Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard
4D X-Ray CT Reconstruction using Multi-Slice Fusion. ICCP 2019: 1-8 - [c24]Xiao Wang
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC 2019: 86:1-86:23 - [e1]Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson:
Computational Imaging XVII, Burlingame, California, USA, 13-17 January 2019. Society for Imaging Science and Technology 2019 [contents] - [i7]Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter:
Plug and play methods for magnetic resonance imaging. CoRR abs/1903.08616 (2019) - [i6]Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
4D X-Ray CT Reconstruction using Multi-Slice Fusion. CoRR abs/1906.06601 (2019) - [i5]Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis:
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation. CoRR abs/1907.02151 (2019) - 2018
- [j18]Ankush Chakrabarty, Emilia Fridman, Stanislaw H. Zak, Gregery T. Buzzard
State and unknown input observers for nonlinear systems with delayed measurements. Autom. 95: 246-253 (2018) - [j17]Emanuele Borgonovo
A global tolerance approach to sensitivity analysis in linear programming. Eur. J. Oper. Res. 267(1): 321-337 (2018) - [j16]Ankush Chakrabarty
Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions. SIAM J. Control. Optim. 56(5): 3619-3641 (2018) - [j15]Gregery T. Buzzard
Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium. SIAM J. Imaging Sci. 11(3): 2001-2020 (2018) - [j14]G. M. Dilshan P. Godaliyadda
A Framework for Dynamic Image Sampling Based on Supervised Learning. IEEE Trans. Computational Imaging 4(1): 1-16 (2018) - [c23]Thilo Balke, Soumendu Majee, Gregery T. Buzzard
Separable Models for cone-beam MBIR Reconstruction. Computational Imaging 2018 - [c22]Venkatesh Sridhar, Gregery T. Buzzard
Distributed Framework for Fast Iterative CT Reconstruction from View-subsets. Computational Imaging 2018 - [c21]Shijie Zhang, Zhengtian Song, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Atanu Sengupta, Gregery T. Buzzard
A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging. Computational Imaging 2018 - [c20]Dong Hye Ye, Gregery T. Buzzard
Deep Back Projection for Sparse-View CT Reconstruction. GlobalSIP 2018: 1-5 - [c19]Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard
Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction. GlobalSIP 2018: 6-10 - [i4]Dong Hye Ye, Gregery T. Buzzard, Max Ruby
Deep Back Projection for Sparse-View CT Reconstruction. CoRR abs/1807.02370 (2018) - 2017
- [j13]Ankush Chakrabarty, Vu C. Dinh, Martin J. Corless, Ann E. Rundell, Stanislaw H. Zak, Gregery T. Buzzard
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. IEEE Trans. Autom. Control. 62(1): 135-148 (2017) - [j12]Ankush Chakrabarty
State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs. IEEE Trans. Autom. Control. 62(11): 5497-5510 (2017) - [j11]Ankush Chakrabarty, Gregery T. Buzzard
Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multiclass Support Vector Machines. IEEE Trans. Ind. Electron. 64(5): 4130-4138 (2017) - [c18]Stanislaw H. Zak, Ankush Chakrabarty, Gregery T. Buzzard
Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices. ACC 2017: 3270-3275 - [c17]Arnab Raha
Ultrafast embedded explicit model predictive control for nonlinear systems. ACC 2017: 4398-4403 - [c16]Nicole M. Scarborough, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, David J. Kissick, Shijie Zhang, Justin A. Newman
Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering. Computational Imaging 2017: 6-9 - [c15]Soumendu Majee, Dong Hye Ye, Gregery T. Buzzard, Charles A. Bouman:
A Model Based Neuron Detection Approach using Sparse Location Priors. Computational Imaging 2017: 10-17 - [i3]G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman:
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS). CoRR abs/1703.04653 (2017) - [i2]Gregery T. Buzzard, Suhas Sreehari, Charles A. Bouman:
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium. CoRR abs/1705.08983 (2017) - 2016
- [j10]Suhas Sreehari
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. IEEE Trans. Computational Imaging 2(4): 408-423 (2016) - [c14]Ankush Chakrabarty, Shreyas Sundaram, Martin J. Corless, Gregery T. Buzzard
Distributed unknown input observers for interconnected nonlinear systems. ACC 2016: 101-106 - [c13]Ankush Chakrabarty, Gregery T. Buzzard
Unknown input estimation via observers for nonlinear systems with measurement delays. CDC 2016: 2308-2313 - [c12]Haotian Zhang, Ankush Chakrabarty, Raid Ayoub, Gregery T. Buzzard
Sampling-based explicit nonlinear model predictive control for output tracking. CDC 2016: 4722-4727 - [c11]G. M. Dilshan Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber
A Supervised Learning Approach for Dynamic Sampling. Computational Imaging 2016: 1-8 - 2015
- [j9]Francesca Beccacece, Emanuele Borgonovo
Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions. Eur. J. Oper. Res. 246(2): 517-527 (2015) - [j8]Thembi Mdluli, Gregery T. Buzzard
Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty. PLoS Comput. Biol. 11(9) (2015) - [i1]Ankush Chakrabarty, Gregery T. Buzzard, Stanislaw H. Zak, Fanglai Zhu, Ann E. Rundell:
Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers. CoRR abs/1507.03924 (2015) - 2014
- [j7]Michael Pargett, Ann E. Rundell, Gregery T. Buzzard
Model-Based Analysis for Qualitative Data: An Application in Drosophila Germline Stem Cell Regulation. PLoS Comput. Biol. 10(3) (2014) - [j6]Jeffrey P. Perley, Judith Mikolajczak, Marietta L. Harrison, Gregery T. Buzzard
Multiple Model-Informed Open-Loop Control of Uncertain Intracellular Signaling Dynamics. PLoS Comput. Biol. 10(4) (2014) - [c10]Ankush Chakrabarty, Vu C. Dinh, Gregery T. Buzzard
Robust explicit nonlinear model predictive control with integral sliding mode. ACC 2014: 2851-2856 - [c9]Thembi Mdluli, Michael Pargett, Gregery T. Buzzard
Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systems. EMBC 2014: 298-301 - [c8]Ankush Chakrabarty, Gregery T. Buzzard
Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control. EMBC 2014: 3426-3429 - [c7]G. M. Dilshan Godaliyadda, Gregery T. Buzzard
A model-based framework for fast dynamic image sampling. ICASSP 2014: 1822-1826 - 2013
- [c6]Gregery T. Buzzard
Optimal filters for high-speed compressive detection in spectroscopy. Computational Imaging 2013: 865707 - 2012
- [j5]Gregery T. Buzzard
Global sensitivity analysis using sparse grid interpolation and polynomial chaos. Reliab. Eng. Syst. Saf. 107: 82-89 (2012) - [j4]Sarah L. Noble, Lindsay E. Wendel, Maia M. Donahue, Gregery T. Buzzard
Sparse-Grid-Based Adaptive Model Predictive Control of HL60 Cellular Differentiation. IEEE Trans. Biomed. Eng. 59(2): 456-463 (2012) - [c5]Jeffrey P. Perley, Judith Mikolajczak, Vu C. Dinh, Marietta L. Harrison, Gregery T. Buzzard
Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design. CDC 2012: 380-385 - 2011
- [c4]Sarah L. Noble, Gregery T. Buzzard
Feasible parameter space characterization with adaptive sparse grids for nonlinear systems biology models. ACC 2011: 2909-2914 - [c3]Md. Shahriar Karim, David M. Umulis, Gregery T. Buzzard
Steady state probability approximation applied to stochastic model of biological network. GENSiPS 2011: 56-59 - 2010
- [j3]Jason N. Bazil, Gregery T. Buzzard
Modeling Mitochondrial Bioenergetics with Integrated Volume Dynamics. PLoS Comput. Biol. 6(1) (2010)
2000 – 2009
- 2009
- [c2]Maia M. Donahue, Gregery T. Buzzard
Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models. ACC 2009: 5055-5060 - 2008
- [j2]Gregery T. Buzzard
Sharp Interface and Voltage Conservation in the Phase Field Method: Application to Cardiac Electrophysiology. SIAM J. Sci. Comput. 30(2): 837-854 (2008) - [j1]David G. Rand
Computationally Efficient Strategy for Modeling the Effect of Ion Current Modifiers. IEEE Trans. Biomed. Eng. 55(1): 3-13 (2008) - 2007
- [c1]Jeffrey J. Fox, Gregery T. Buzzard, Robert Miller, Fernando Siso-Nadal:
Massively Parallel Simulation of Cardiac Electrical Wave Propagation on Blue Gene. PARCO 2007: 609-616
Coauthor Index
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