| A weighted GCV method for Lanczos hybrid regularization J Chung, JG Nagy, DP O’leary Electronic Transactions on Numerical Analysis 28 (149-167), 2008, 2008 | 225 | 2008 |
| Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006 | 120 | 2006 |
| An efficient iterative approach for large-scale separable nonlinear inverse problems J Chung, JG Nagy SIAM Journal on Scientific Computing 31 (6), 4654-4674, 2010 | 62 | 2010 |
| A hybrid LSMR algorithm for large-scale Tikhonov regularization J Chung, K Palmer SIAM Journal on Scientific Computing 37 (5), S562-S580, 2015 | 37 | 2015 |
| Efficient generalized Golub–Kahan based methods for dynamic inverse problems J Chung, AK Saibaba, M Brown, E Westman Inverse Problems 34 (2), 024005, 2018 | 34 | 2018 |
| Numerical algorithms for polyenergetic digital breast tomosynthesis reconstruction J Chung, JG Nagy, I Sechopoulos SIAM Journal on Imaging Sciences 3 (1), 133-152, 2010 | 34 | 2010 |
| Generalized hybrid iterative methods for large-scale Bayesian inverse problems J Chung, AK Saibaba SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017 | 30 | 2017 |
| High-resolution iris image reconstruction from low-resolution imagery R Barnard, VP Pauca, TC Torgersen, RJ Plemmons, S Prasad, ... Advanced Signal Processing Algorithms, Architectures, and Implementations …, 2006 | 30 | 2006 |
| Large-Scale Inverse Problems in Imaging. J Chung, S Knepper, JG Nagy Handbook of Mathematical Methods in Imaging 1, 2015 | 28 | 2015 |
| Flexible Krylov Methods for Regularization J Chung, S Gazzola SIAM Journal on Scientific Computing 41 (5), S149-S171, 2019 | 27 | 2019 |
| Designing optimal spectral filters for inverse problems J Chung, M Chung, DP O'Leary SIAM Journal on Scientific Computing 33 (6), 3132-3152, 2011 | 26 | 2011 |
| Learning regularization parameters for general-form Tikhonov J Chung, MI Espaņol Inverse Problems 33 (7), 074004, 2017 | 23 | 2017 |
| Motion estimation and correction in photoacoustic tomographic reconstruction J Chung, L Nguyen SIAM Journal on Imaging Sciences 10 (1), 216-242, 2017 | 23 | 2017 |
| Sampled Tikhonov regularization for large linear inverse problems JT Slagel, J Chung, M Chung, D Kozak, L Tenorio Inverse Problems 35 (11), 114008, 2019 | 21 | 2019 |
| A framework for regularization via operator approximation JM Chung, ME Kilmer, DP O'Leary SIAM Journal on Scientific Computing 37 (2), B332-B359, 2015 | 19 | 2015 |
| Optimal regularized low rank inverse approximation J Chung, M Chung, DP O'Leary Linear Algebra and its Applications 468, 260-269, 2015 | 18 | 2015 |
| An efficient approach for computing optimal low-rank regularized inverse matrices J Chung, M Chung Inverse Problems 30 (11), 114009, 2014 | 18 | 2014 |
| Optimal experimental design for inverse problems with state constraints L Ruthotto, J Chung, M Chung SIAM Journal on Scientific Computing 40 (4), B1080-B1100, 2018 | 16 | 2018 |
| Optimal regularization parameters for general-form Tikhonov regularization J Chung, MI Espaņol, T Nguyen arXiv preprint arXiv:1407.1911, 2014 | 16 | 2014 |
| Stochastic Newton and quasi-Newton methods for large linear least-squares problems J Chung, M Chung, JT Slagel, L Tenorio arXiv preprint arXiv:1702.07367, 2017 | 15 | 2017 |
James NagyProfessor of Mathematics and Computer Science, Emory UniversityVerified email at emory.edu
