Julianne Chung
Julianne Chung
Associate Professor, Virginia Tech
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
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
2112008
Numerical methods for coupled super-resolution
J Chung, E Haber, J Nagy
Inverse Problems 22 (4), 1261, 2006
1162006
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
562010
A hybrid LSMR algorithm for large-scale Tikhonov regularization
J Chung, K Palmer
SIAM Journal on Scientific Computing 37 (5), S562-S580, 2015
312015
Numerical algorithms for polyenergetic digital breast tomosynthesis reconstruction
J Chung, JG Nagy, I Sechopoulos
SIAM Journal on Imaging Sciences 3 (1), 133-152, 2010
292010
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
292006
Large-Scale Inverse Problems in Imaging.
J Chung, S Knepper, JG Nagy
Handbook of Mathematical Methods in Imaging 1, 2015
272015
Efficient generalized Golub–Kahan based methods for dynamic inverse problems
J Chung, AK Saibaba, M Brown, E Westman
Inverse Problems 34 (2), 024005, 2018
262018
Generalized hybrid iterative methods for large-scale Bayesian inverse problems
J Chung, AK Saibaba
SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017
262017
Designing optimal spectral filters for inverse problems
J Chung, M Chung, DP O'Leary
SIAM Journal on Scientific Computing 33 (6), 3132-3152, 2011
232011
Motion estimation and correction in photoacoustic tomographic reconstruction
J Chung, L Nguyen
SIAM Journal on Imaging Sciences 10 (1), 216-242, 2017
212017
Flexible Krylov Methods for Regularization
J Chung, S Gazzola
SIAM Journal on Scientific Computing 41 (5), S149-S171, 2019
182019
Sampled Tikhonov regularization for large linear inverse problems
JT Slagel, J Chung, M Chung, D Kozak, L Tenorio
Inverse Problems 35 (11), 114008, 2019
172019
A framework for regularization via operator approximation
JM Chung, ME Kilmer, DP O'Leary
SIAM Journal on Scientific Computing 37 (2), B332-B359, 2015
172015
Optimal regularized low rank inverse approximation
J Chung, M Chung, DP O'Leary
Linear Algebra and its Applications 468, 260-269, 2015
162015
An efficient approach for computing optimal low-rank regularized inverse matrices
J Chung, M Chung
Inverse Problems 30 (11), 114009, 2014
162014
Optimal regularization parameters for general-form Tikhonov regularization
J Chung, MI Espaņol, T Nguyen
arXiv preprint arXiv:1407.1911, 2014
162014
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
152017
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
142018
Learning regularization parameters for general-form Tikhonov
J Chung, MI Espaņol
Inverse Problems 33 (7), 074004, 2017
142017
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Articles 1–20