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 |
0.352 |
|
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 |
0.544 |
|
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 |
0.418 |
|
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 |
0.469 |
|
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 |
0.799 |
|
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 |
0.803 |
|
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 |
0.813 |
|
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 |
0.481 |
|
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 |
0.447 |
|
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 |
0.492 |
|
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 |
0.768 |
|
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 |
0.518 |
|
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 |
0.523 |
|
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 |
0.569 |
|
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 |
0.376 |
|
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 |
0.426 |
|
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 |
0.583 |
|
2000 |
Hanke M, Nagy JG, Vogel C. Quasi-Newton approach to nonnegative image restorations Linear Algebra and Its Applications. 316: 223-236. |
0.504 |
|
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 |
0.306 |
|
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 |
0.43 |
|
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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