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James G. Nagy - Publications

Affiliations: 
Emory University, Atlanta, GA 
Area:
Mathematics
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86 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Evangelista D, Morotti E, Piccolomini EL, Nagy J. Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. Journal of Imaging. 9. PMID 37504810 DOI: 10.3390/jimaging9070133  0.398
2022 Meng C, Nagy J. Numerical methods for CT reconstruction with unknown geometry parameters. Numerical Algorithms. 1-17. PMID 36568024 DOI: 10.1007/s11075-022-01451-3  0.363
2022 Wang C, Tao M, Chuah CN, Nagy J, Lou Y. Minimizing over norms on the gradient. Inverse Problems. 38. PMID 35815002  0.384
2020 Michielsen K, Rodríguez-Ruiz A, Reiser I, Nagy JG, Sechopoulos I. Iodine quantification in limited angle tomography. Medical Physics. PMID 32803800 DOI: 10.1002/Mp.14400  0.351
2020 Herring JL, Nagy J, Ruthotto L. Gauss–Newton Optimization for Phase Recovery From the Bispectrum Ieee Transactions On Computational Imaging. 6: 235-247. DOI: 10.1109/Tci.2019.2948784  0.454
2020 Chen X, Herring JL, Nagy JG, Xi Y, Yu B. An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images Inverse Problems. DOI: 10.1088/1361-6420/Abb541  0.372
2020 Gazzola S, Kilmer ME, Nagy JG, Semerci O, Miller EL. An inner-outer iterative method for edge preservation in image restoration and reconstruction Inverse Problems. DOI: 10.1088/1361-6420/Abb299  0.506
2020 Zhang J, Nagy JG. An effective alternating direction method of multipliers for color image restoration Applied Numerical Mathematics. DOI: 10.1016/J.Apnum.2020.07.008  0.545
2020 Chen Z, Nagy JG, Xi Y, Yu B. Structured FISTA for image restoration Numerical Linear Algebra With Applications. 27. DOI: 10.1002/Nla.2278  0.443
2019 Rossetti BJ, Wilbert SA, Mark Welch JL, Borisy GG, Nagy JG. Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. Bioinformatics (Oxford, England). PMID 31504202 DOI: 10.1093/Bioinformatics/Btz674  0.465
2019 Hu Y, Andersen MS, Nagy JG. Spectral Computed Tomography with Linearization and Preconditioning Siam Journal On Scientific Computing. 41: S370-S389. DOI: 10.1137/18M1194419  0.469
2019 Landi G, Piccolomini EL, Nagy J. Nonlinear conjugate gradient method for spectral tomosynthesis Inverse Problems. 35: 094003. DOI: 10.1088/1361-6420/Ab1C94  0.322
2019 Hu Y, Nagy JG, Zhang J, Andersen MS. Nonlinear optimization for mixed attenuation polyenergetic image reconstruction Inverse Problems. 35: 064004. DOI: 10.1088/1361-6420/Ab0131  0.439
2018 Zhang J, Hu Y, Nagy JG. A scaled gradient method for digital tomographic image reconstruction Inverse Problems and Imaging. 12: 239-259. DOI: 10.3934/Ipi.2018010  0.56
2018 Garvey C, Meng C, Nagy JG. Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications Siam Journal On Matrix Analysis and Applications. 39: 1836-1857. DOI: 10.1137/18M1164147  0.417
2018 Gazzola S, Hansen PC, Nagy JG. IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems Numerical Algorithms. 81: 773-811. DOI: 10.1007/S11075-018-0570-7  0.529
2018 Kubínová M, Nagy JG. Robust regression for mixed Poisson–Gaussian model Numerical Algorithms. 79: 825-851. DOI: 10.1007/S11075-017-0463-1  0.486
2017 Landi G, Piccolomini EL, Nagy JG. A limited memory BFGS method for a nonlinear inverse problem in digital breast tomosynthesis Inverse Problems. 33: 095005. DOI: 10.1088/1361-6420/Aa7A20  0.49
2017 Zhang J, Nagy JG. An alternating direction method of multipliers for the solution of matrix equations arising in inverse problems Numerical Linear Algebra With Applications. 25: e2123. DOI: 10.1002/Nla.2123  0.466
2016 Hope DA, Jefferies SM, Hart M, Nagy JG. High-resolution speckle imaging through strong atmospheric turbulence. Optics Express. 24: 12116-29. PMID 27410132 DOI: 10.1364/Oe.24.012116  0.47
2015 Berisha S, Nagy JG, Plemmons RJ. Deblurring and sparse unmixing of hyperspectral images using multiple point spread functions Siam Journal On Scientific Computing. 37: S389-S406. DOI: 10.1137/140980478  0.802
2015 Landi G, Piccolomini EL, Nagy JG. Numerical solution of a nonlinear least squares problem in digital breast tomosynthesis Journal of Physics: Conference Series. 657. DOI: 10.1088/1742-6596/657/1/012006  0.431
2015 Chung J, Knepper S, Nagy JG. Large-scale inverse problems in imaging Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. 47-90. DOI: 10.1007/978-1-4939-0790-8_2  0.763
2015 Berisha S, Nagy JG, Plemmons RJ. Estimation of atmospheric PSF parameters for hyperspectral imaging Numerical Linear Algebra With Applications. 22: 795-813. DOI: 10.1002/Nla.1986  0.805
2014 Nagy JG, Hart M, Hope DA, Jefferies SM. Tomographic reconstruction of atmospheric turbulence from microlens imagery Optics Infobase Conference Papers. DOI: 10.1364/Srs.2014.Sm1F.2  0.407
2014 Hart M, Nagy JG. Beaconless tomographic wave-front sensing Frontiers in Optics, Fio 2014. DOI: 10.1364/Fio.2014.Ftu2C.5  0.344
2014 Gazzola S, Nagy JG. Generalized arnoldi-tikhonov method for sparse reconstruction Siam Journal On Scientific Computing. 36. DOI: 10.1137/130917673  0.451
2014 Chung J, Nagy JG. An efficient iterative approach for large-scale separable nonlinear inverse problems Siam Journal On Scientific Computing. 31: 4654-4674. DOI: 10.1137/080732213  0.753
2014 Berisha S, Nagy JG. Iterative Methods for Image Restoration Academic Press Library in Signal Processing. 4: 193-247. DOI: 10.1016/B978-0-12-396501-1.00007-8  0.815
2014 Cornelio A, Loli Piccolomini E, Nagy JG. Constrained numerical optimization methods for blind deconvolution Numerical Algorithms. 65: 23-42. DOI: 10.1007/S11075-013-9693-Z  0.482
2014 Hansen PC, Nagy JG, Tigkos K. Rotational image deblurring with sparse matrices Bit Numerical Mathematics. 54: 649-671. DOI: 10.1007/S10543-013-0464-Y  0.446
2013 Chu Q, Jefferies S, Nagy JG. Iterative wavefront reconstruction for astronomical imaging Siam Journal On Scientific Computing. 35. DOI: 10.1137/120882603  0.774
2013 Bustamante VM, Nagy JG, Feng SSJ, Sechopoulos I. Iterative breast tomosynthesis image reconstruction Siam Journal On Scientific Computing. 35. DOI: 10.1137/120881440  0.491
2013 Jefferies SM, Hope DA, Hart M, Nagy JG. High-resolution imaging through strong atmospheric turbulence Proceedings of Spie - the International Society For Optical Engineering. 8890. DOI: 10.1117/12.2028193  0.307
2013 Bardsley JM, Howard M, Nagy JG. Efficient MCMC-based image deblurring with Neumann boundary conditions Electronic Transactions On Numerical Analysis. 40: 476-488.  0.398
2013 Jefferies SM, Hope DA, Hart M, Nagy JG. Imaging through atmospheric turbulence using aperture diversity and blind deconvolution Optics Infobase Conference Papers.  0.322
2012 Cornelio A, Piccolomini EL, Nagy JG. Constrained variable projection method for blind deconvolution Journal of Physics: Conference Series. 386. DOI: 10.1088/1742-6596/386/1/012005  0.403
2012 Fan YW, Nagy JG. An efficient computational approach for multiframe blind deconvolution Journal of Computational and Applied Mathematics. 236: 2112-2125. DOI: 10.1016/J.Cam.2011.09.034  0.518
2011 Ye Y, Plemmons RJ, Nagy JG, Jin Q. Modern mathematics in biomedical imaging. International Journal of Biomedical Imaging. 2011: 618972. PMID 21747820 DOI: 10.1155/2011/618972  0.53
2011 Chu Q, Knepper S, Nagy J, Jefferies S. Fast PSF reconstruction using the frozen flow hypothesis Studies in Regional Science. DOI: 10.1364/Srs.2011.Smc4  0.755
2011 Feng S, Nagy J, Chung J, Mejia-Bustamante V, Sechopoulos I. SU-E-I-145: A Spectral Reconstruction Method for Digital Breast Tomosynthesis Medical Physics. 38: 3429-3429. DOI: 10.1118/1.3611719  0.749
2011 Fan YW, Nagy JG. Synthetic boundary conditions for image deblurring Linear Algebra and Its Applications. 434: 2244-2268. DOI: 10.1016/J.Laa.2009.12.021  0.493
2011 Bardsley JM, Knepper S, Nagy J. Structured linear algebra problems in adaptive optics imaging Advances in Computational Mathematics. 35: 103-117. DOI: 10.1007/S10444-011-9172-9  0.798
2010 Wendykier P, Nagy JG. Parallel colt: A high-performance java library for scientific computing and image processing Acm Transactions On Mathematical Software. 37. DOI: 10.1145/1824801.1824809  0.794
2010 Chung J, Nagy JG, Sechopoulos I. Numerical algorithms for polyenergetic digital breast tomosynthesis reconstruction Siam Journal On Imaging Sciences. 3: 133-152. DOI: 10.1137/090749633  0.769
2008 Bozza G, Estatico C, Nagy JG, Pastorino M, Randazzo A. Enhanced nonlinear inverse scattering through linear super-resolution techniques Ist 2008 - Ieee Workshop On Imaging Systems and Techniques Proceedings. 227-231. DOI: 10.1109/IST.2008.4659974  0.404
2008 Chung J, Nagy JG. Nonlinear least squares and super resolution Journal of Physics: Conference Series. 124. DOI: 10.1088/1742-6596/124/1/012019  0.769
2008 Wendykier P, Nagy JG. Large-scale image deblurring in Java Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5101: 721-730. DOI: 10.1007/978-3-540-69384-0_77  0.792
2008 Di Benedetto F, Estatico C, Nagy JG, Pastorino M. Numerical linear algebra for nonlinear microwave imaging Electronic Transactions On Numerical Analysis. 33: 105-125.  0.443
2007 Kilmer ME, Nagy JG. Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices Numerical Linear Algebra With Applications. 14: 581-602. DOI: 10.1002/Nla.538  0.438
2007 Welk M, Nagy JG. Variational deconvolution of multi-channel images with inequality constraints Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4477: 386-393.  0.427
2006 Bardsley J, Jefferies S, Nagy J, Plemmons R. A computational method for the restoration of images with an unknown, spatially-varying blur Optics Express. 14: 1767-1782. PMID 19503505 DOI: 10.1364/Oe.14.001767  0.519
2006 Nagy JG, Kilmer ME. Kronecker product approximation for preconditioning in three-dimensional imaging applications. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 15: 604-13. PMID 16519347 DOI: 10.1109/Tip.2005.863112  0.524
2006 Bardsley JM, Nagy JG. Covariance-preconditioned iterative methods for nonnegatively constrained astronomical imaging Siam Journal On Matrix Analysis and Applications. 27: 1184-1197. DOI: 10.1137/040615043  0.505
2006 Chung J, Haber E, Nagy J. Numerical methods for coupled super-resolution Inverse Problems. 22: 1261-1272. DOI: 10.1088/0266-5611/22/4/009  0.823
2005 Vio R, Nagy J, Wamsteker W. Multiple-image deblurring with spatially-variant point spread functions Astronomy & Astrophysics. 434: 795-800. DOI: 10.1051/0004-6361:20035754  0.524
2004 Nagy JG, Ng MK, Perrone L. Kronecker product approximations for image restoration with reflexive boundary conditions Siam Journal On Matrix Analysis and Applications. 25: 829-841. DOI: 10.1137/S0895479802419580  0.776
2004 Vio R, Ma P, Zhong W, Nagy J, Tenorio L, Wamsteker W. Estimation of regularization parameters in multiple-image deblurring Astronomy and Astrophysics. 423: 1179-1186. DOI: 10.1051/0004-6361:20047113  0.57
2004 Vio R, Nagy J, Tenorio L, Wamsteker W. A simple but efficient algorithm for multiple-image deblurring Astronomy and Astrophysics. 416: 403-410. DOI: 10.1051/0004-6361:20034288  0.589
2004 Nagy JG, Palmer K, Perrone L. Iterative methods for image deblurring: A Matlab object-oriented approach Numerical Algorithms. 36: 73-93. DOI: 10.1023/B:Numa.0000027762.08431.64  0.721
2003 Nagy JG, O'Leary DP, Sagduyu YE. Partial solution to "image deblurring: I can see clearly now" Computing in Science and Engineering. 5: 72-74. DOI: 10.1109/MCISE.2003.1208647  0.374
2003 Nagy JG, O'Leary DP. Image deblurring: I can see clearly now Computing in Science and Engineering. 5: 82-84. DOI: 10.1109/Mcise.2003.1196312  0.566
2003 Vio R, Nagy JG, Tenorio L, Andreani P, Baccigalupi C, Wamsteker W. Digital deblurring of CMB maps II. Asymmetric point spread function Astronomy and Astrophysics. 408: 835-843. DOI: 10.1051/0004-6361:20031108  0.377
2003 Vio R, Nagy JG, Tenorio L, Andreani P, Baccigalupi C, Wamsteker W. Digital deblurring of CMB maps: Performance and efficient implementation Astronomy and Astrophysics. 401: 389-404. DOI: 10.1051/0004-6361:20030099  0.427
2003 Nagy JG, Palmer KM. Steepest descent, CG, and iterative regularization of ill-posed problems Bit Numerical Mathematics. 43: 1003-1017. DOI: 10.1023/B:Bitn.0000014546.51341.53  0.769
2002 Nagy JG, O'Leary DP. Image restoration through subimages and confidence images Electronic Transactions On Numerical Analysis. 13: 22-37.  0.439
2000 Kamm J, Nagy JG. Optimal Kronecker product approximation of block Toeplitz matrices Siam Journal On Matrix Analysis and Applications. 22: 155-172. DOI: 10.1137/S0895479898345540  0.357
2000 Hanke M, Nagy JG, Vogel C. Quasi-Newton approach to nonnegative image restorations Linear Algebra and Its Applications. 316: 223-236. DOI: 10.1016/S0024-3795(00)00116-6  0.584
2000 Hanke M, Nagy JG, Vogel C. Quasi-Newton approach to nonnegative image restorations Linear Algebra and Its Applications. 316: 223-236.  0.505
1998 Nagy JG, O'Leary DP. Restoring Images Degraded by Spatially Variant Blur Siam Journal On Scientific Computing. 19: 1063-1082. DOI: 10.1137/S106482759528507X  0.307
1998 Nagy JG, O'Leary DP. Restoring images degraded by spatially variant blur Siam Journal On Scientific Computing. 19: 1063-1082. DOI: 10.1137/S106482759528507X  0.531
1998 Hanke M, Nagy J. Inverse Toeplitz preconditioners for ill-posed problems Linear Algebra and Its Applications. 284: 137-156. DOI: 10.1016/S0024-3795(98)10046-0  0.532
1998 Kamm J, Nagy JG. Kronecker product and SVD approximations in image restoration Linear Algebra and Its Applications. 284: 177-192. DOI: 10.1016/S0024-3795(98)10024-1  0.556
1998 Kamm J, Nagy JG. A total least squares method for Toeplitz systems of equations Bit Numerical Mathematics. 38: 560-582. DOI: 10.1007/Bf02510260  0.41
1997 Nagy JG, Pauca VP, Plemmons RJ, Torgersen TC. Space-varying restoration of optical images Journal of the Optical Society of America a: Optics and Image Science, and Vision. 14: 3162-3174. DOI: 10.1364/Josaa.14.003162  0.525
1997 Nagy JG, O'Leary DP. Fast iterative image restoration with a spatially-varying PSF Proceedings of Spie - the International Society For Optical Engineering. 3162: 388-399. DOI: 10.1117/12.279513  0.431
1997 Kamm J, Nagy JG. Least squares and total least squares methods in image restoration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1196: 212-219.  0.315
1996 Nagy JG, Plemmons RJ, Torgersen TC. Iterative image restoration using approximate inverse preconditioning Ieee Transactions On Image Processing. 5: 1151-1162. DOI: 10.1109/83.502394  0.567
1996 Hanke M, Nagy JG. Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques Inverse Problems. 12: 157-173. DOI: 10.1088/0266-5611/12/2/004  0.55
1996 Nagy JG, Pauca VP, Plemmons RJ, Torgersen TC. Degradation reduction in optics imagery using toeplitz structure Calcolo. 33: 268-288. DOI: 10.1007/Bf02576005  0.551
1994 Chan RH, Nagy JG, Plemmons RJ. Circulant Preconditioned Toeplitz Least Squares Iterations Siam Journal On Matrix Analysis and Applications. 15: 80-97. DOI: 10.1137/S0895479891223021  0.315
1994 Hanke M, Nagy JG. Toeplitz approximate inverse preconditioner for banded Toeplitz matrices Numerical Algorithms. 7: 183-199. DOI: 10.1007/Bf02140682  0.331
1993 Nagy JG. Fast Inverse $QR$ Factorization for Toeplitz Matrices Siam Journal On Scientific Computing. 14: 1174-1193. DOI: 10.1137/0914070  0.44
1993 Chan RH, Nagy JG, Plemmons RJ. FFT-Based Preconditioners for Toeplitz-Block Least Squares Problems Siam Journal On Numerical Analysis. 30: 1740-1768. DOI: 10.1137/0730089  0.437
1993 Bojanczyk AW, Nagy JG, Plemmons RJ. Block RLS using row householder reflections Linear Algebra and Its Applications. 188: 31-61. DOI: 10.1016/0024-3795(93)90464-Y  0.349
1992 Nagy J, Plemmons RJ. An inverse factorization algorithm for linear prediction Linear Algebra and Its Applications. 172: 169-195. DOI: 10.1016/0024-3795(92)90025-6  0.422
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