Fast Inverse QR Factorization for Toeplitz Matrices. - James G. Nagy (SIAM J. Sci. Comput., 1993)

Toeplitz approximate inverse preconditioner for banded Toeplitz matrices. - Martin Hanke; James G. Nagy (Numer. Algorithms, 1994)

Circulant Preconditioned Toeplitz Least Squares Iterations. - Raymond H. Chan; James G. Nagy; Robert J. Plemmons (SIAM J. Matrix Anal. Appl., 1994)

Least Squares and Total Least Squares Methods in Image Restoration. - Julie Kamm; James G. Nagy (WNAA, 1996)

Iterative image restoration using approximate inverse preconditioning. - James G. Nagy; Robert J. Plemmons; Todd C. Torgersen (IEEE Trans. Image Process., 1996)

Restoring Images Degraded by Spatially Variant Blur. - James G. Nagy; Dianne P. O'Leary (SIAM J. Sci. Comput., 1998)

Optimal Kronecker Product Approximation of Block Toeplitz Matrices. - Julie Kamm; James G. Nagy (SIAM J. Matrix Anal. Appl., 2000)

Image deblurring: I can see clearly now. - James G. Nagy; Dianne P. O'Leary (Comput. Sci. Eng., 2003)

Partial solution to "Image deblurring: I can see clearly now". - James G. Nagy; Dianne P. O'Leary (Comput. Sci. Eng., 2003)

Robot control: swinging like a pendulum. - Dianne P. O'Leary; Yalin Evren Sagduyu; James G. Nagy (Comput. Sci. Eng., 2003)

Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. - James G. Nagy; Michael K. Ng 001; Lisa Perrone (SIAM J. Matrix Anal. Appl., 2003)

Iterative Methods for Image Deblurring: A Matlab Object-Oriented Approach. - James G. Nagy; Katrina Palmer; Lisa Perrone (Numer. Algorithms, 2004)

Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging. - Johnathan M. Bardsley; James G. Nagy (SIAM J. Matrix Anal. Appl., 2006)

Kronecker product approximation for preconditioning in three-dimensional imaging applications. - James G. Nagy; Misha Elena Kilmer (IEEE Trans. Image Process., 2006)

Variational Deconvolution of Multi-channel Images with Inequality Constraints. - Martin Welk; James G. Nagy (IbPRIA (1), 2007)

Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices. - Misha Elena Kilmer; James G. Nagy (Numer. Linear Algebra Appl., 2007)

Large-Scale Image Deblurring in Java. - Piotr Wendykier; James G. Nagy (ICCS (1), 2008)

Deblurring Images: Matrices, Spectra and Filtering. - Per Christian Hansen; James G. Nagy; Dianne P. O'Leary; Rodney Miller (J. Electronic Imaging, 2008)

Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. - Julianne Chung; James G. Nagy; Ioannis Sechopoulos (SIAM J. Imaging Sci., 2010)

An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems. - Julianne Chung; James G. Nagy (SIAM J. Sci. Comput., 2010)

Parallel Colt: A High-Performance Java Library for Scientific Computing and Image Processing. - Piotr Wendykier; James G. Nagy (ACM Trans. Math. Softw., 2010)

Structured linear algebra problems in adaptive optics imaging. - Johnathan M. Bardsley; Sarah Knepper; James G. Nagy (Adv. Comput. Math., 2011)

Modern Mathematics in Biomedical Imaging. - Yangbo Ye; Robert J. Plemmons; James G. Nagy; Qinian Jin (Int. J. Biomed. Imaging, 2011)

An efficient computational approach for multiframe blind deconvolution. - Ying-Wai (Daniel) Fan; James G. Nagy (J. Comput. Appl. Math., 2012)

Iterative Breast Tomosynthesis Image Reconstruction. - Veronica Mejia Bustamante; James G. Nagy; Steve S. J. Feng; Ioannis Sechopoulos (SIAM J. Sci. Comput., 2013)

Iterative Wavefront Reconstruction for Astronomical Imaging. - Qing Chu; Stuart Jefferies; James G. Nagy (SIAM J. Sci. Comput., 2013)

Context aided video-to-text information fusion. - Erik Blasch; James G. Nagy; Alex Aved; Eric K. Jones; William M. Pottenger; Arslan Basharat; Anthony Hoogs; Michael Schneider; Riad I. Hammoud; Genshe Chen; Dan Shen; Haibin Ling (FUSION, 2014)

Constrained numerical optimization methods for blind deconvolution. - Anastasia Cornelio; Elena Loli Piccolomini; James G. Nagy (Numer. Algorithms, 2014)

Generalized Arnoldi-Tikhonov Method for Sparse Reconstruction. - Silvia Gazzola; James G. Nagy (SIAM J. Sci. Comput., 2014)

Video-to-text information fusion evaluation for level 5 user refinement. - Erik Blasch; Haibin Ling; Dan Shen; Genshe Chen; Riad I. Hammoud; Arslan Basharat; Roddy Collins; Alex Aved; James G. Nagy (FUSION, 2015)

Estimation of atmospheric PSF parameters for hyperspectral imaging. - Sebastian Berisha; James G. Nagy; Robert J. Plemmons (Numer. Linear Algebra Appl., 2015)

Dedication to Robert J. Plemmons. - James G. Nagy; Michael K. Ng 001 (Numer. Linear Algebra Appl., 2015)

Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions. - Sebastian Berisha; James G. Nagy; Robert J. Plemmons (SIAM J. Sci. Comput., 2015)

Large-Scale Inverse Problems in Imaging. - Julianne Chung; Sarah Knepper; James G. Nagy (Handbook of Mathematical Methods in Imaging, 2015)

Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks. - Marcin Malec; Tushar Khot; James G. Nagy; Erik Blask; Sriraam Natarajan (ILP, 2016)

Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion. - Erik Blasch; Riad I. Hammoud; Haibin Ling; Dan Shen; James G. Nagy; Genshe Chen (Context-Enhanced Information Fusion, 2016)

LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. - James L. Herring; James G. Nagy; Lars Ruthotto (CoRR, 2017)

Predicting Interpretability Loss in Thermal IR Imagery due to Compression. - Huamei Chen; John M. Irvine 001; Zhonghai Wang; Genshe Chen; Erik Blasch; James G. Nagy (AIPR, 2018)

Dose reduction in breast CT by spectrum switching. - Koen Michielsen; Christian Fedon; James G. Nagy; Ioannis Sechopoulos (IWBI, 2018)

Robust regression for mixed Poisson-Gaussian model. - Marie Kubínová; James G. Nagy (Numer. Algorithms, 2018)

An alternating direction method of multipliers for the solution of matrix equations arising in inverse problems. - Jianjun Zhang; James G. Nagy (Numer. Linear Algebra Appl., 2018)

Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications. - Clarissa C. Garvey; Chang Meng; James G. Nagy (SIAM J. Matrix Anal. Appl., 2018)

An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. - Silvia Gazzola; Misha E. Kilmer; James G. Nagy; Oguz Semerci; Eric L. Miller 001 (CoRR, 2019)

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems. - Silvia Gazzola; Per Christian Hansen; James G. Nagy (Numer. Algorithms, 2019)

Spectral Computed Tomography with Linearization and Preconditioning. - Yunyi Hu; Martin S. Andersen 001; James G. Nagy (SIAM J. Sci. Comput., 2019)

Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. - Blair J. Rossetti; Steven A. Wilbert; Jessica L. Mark Welch; Gary G. Borisy; James G. Nagy (Bioinform., 2020)

An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images. - Xiaotong Chen; James L. Herring; James G. Nagy; Yuanzhe Xi; Bo Yu 003 (CoRR, 2020)

Limited-angle CT reconstruction via the L1/L2 minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (CoRR, 2020)

Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. - Kelvin K. Kan; James G. Nagy; Lars Ruthotto (CoRR, 2020)

Structured FISTA for image restoration. - Zixuan Chen; James G. Nagy; Yuanzhe Xi; Bo Yu 003 (Numer. Linear Algebra Appl., 2020)

Krylov Methods for Low-Rank Regularization. - Silvia Gazzola; Chang Meng; James G. Nagy (SIAM J. Matrix Anal. Appl., 2020)

Gauss-Newton Optimization for Phase Recovery From the Bispectrum. - James L. Herring; James G. Nagy; Lars Ruthotto (IEEE Trans. Computational Imaging, 2020)

Minimizing L1 over L2 norms on the gradient. - Chao Wang 067; Min Tao; Chen-Nee Chuah; James G. Nagy; Yifei Lou (CoRR, 2021)

Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. - Difeng Cai; James G. Nagy; Yuanzhe Xi (CoRR, 2021)

Limited-Angle CT Reconstruction via the L1/L2 Minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (SIAM J. Imaging Sci., 2021)

Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction. - Silvia Gazzola; James G. Nagy; Malena Sabate Landman (SIAM J. Sci. Comput., 2021)

Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets. - Difeng Cai; James G. Nagy; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 2022)

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. - Davide Evangelista; Elena Morotti; Elena Loli Piccolomini; James G. Nagy (J. Imaging, 2023)

Numerical methods for CT reconstruction with unknown geometry parameters. - Chang Meng; James G. Nagy (Numer. Algorithms, 2023)

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems. - Ariana N. Brown; Malena Sabaté Landman; James G. Nagy (CoRR, 2024)

Inner Product Free Krylov Methods for Large-Scale Inverse Problems. - Ariana N. Brown; Julianne Chung; James G. Nagy; Malena Sabaté Landman (CoRR, 2024)

Mixed precision iterative refinement for linear inverse problems. - James G. Nagy; Lucas Onisk (CoRR, 2024)

H-CMRH: An Inner Product Free Hybrid Krylov Method for Large-Scale Inverse Problems. - Ariana N. Brown; Malena Sabaté Landman; James G. Nagy (SIAM J. Matrix Anal. Appl., 2025)

To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems. - Davide Evangelista; Elena Loli Piccolomini; Elena Morotti; James G. Nagy (SIAM J. Sci. Comput., 2025)

Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems. - Malena Sabaté Landman; Ariana N. Brown; Julianne Chung; James G. Nagy (CoRR, 2025)