Iteratively reweighted algorithms for compressive sensing R Chartrand, W Yin 2008 IEEE international conference on acoustics, speech and signal …, 2008 | 1642 | 2008 |
Exact reconstruction of sparse signals via nonconvex minimization R Chartrand IEEE Signal Processing Letters 14 (10), 707-710, 2007 | 1573 | 2007 |
Restricted isometry properties and nonconvex compressive sensing R Chartrand, V Staneva Inverse Problems 24 (3), 035020, 2008 | 724 | 2008 |
Numerical differentiation of noisy, nonsmooth data R Chartrand International Scholarly Research Notices 2011 (1), 164564, 2011 | 550 | 2011 |
A variational approach to reconstructing images corrupted by Poisson noise T Le, R Chartrand, TJ Asaki Journal of Mathematical Imaging and Vision 27 (3), 257-263, 2007 | 514 | 2007 |
Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data R Chartrand 2009 IEEE international symposium on biomedical imaging: from nano to macro …, 2009 | 370 | 2009 |
Stable sparse approximations via nonconvex optimization R Saab, R Chartrand, O Yilmaz 2008 IEEE international conference on acoustics, speech and signal …, 2008 | 250 | 2008 |
Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition R Chartrand IEEE Transactions on Signal Processing 60, 5810-5819, 2012 | 223 | 2012 |
Compressed sensing recovery via nonconvex shrinkage penalties J Woodworth, R Chartrand Inverse Problems 32 (7), 075004, 2016 | 185 | 2016 |
A nonconvex ADMM algorithm for group sparsity with sparse groups R Chartrand, B Wohlberg 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 164 | 2013 |
Tomographic imaging with cosmic ray muons CL Morris, CC Alexander, JD Bacon, KN Borozdin, DJ Clark, R Chartrand, ... Science & Global Security 16 (1-2), 37-53, 2008 | 159 | 2008 |
Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion EM Bollt, R Chartrand, S Esedoḡlu, P Schultz, KR Vixie Advances in Computational Mathematics 31 (1), 61-85, 2009 | 111 | 2009 |
Shrinkage mappings and their induced penalty functions R Chartrand 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 109 | 2014 |
A gradient descent solution to the Monge-Kantorovich problem R Chartrand, K Vixie, B Wohlberg, E Bollt Appl. Math. Sci 3, 1071-1080, 2009 | 100 | 2009 |
Constrained Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction EY Sidky, R Chartrand, JM Boone, X Pan IEEE journal of translational engineering in health and medicine 2, 1-18, 2014 | 97 | 2014 |
Nonconvex compressed sensing and error correction R Chartrand 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 93 | 2007 |
Image reconstruction from few views by non-convex optimization EY Sidky, R Chartrand, X Pan 2007 IEEE Nuclear Science Symposium Conference Record 5, 3526-3530, 2007 | 72 | 2007 |
Local principal component pursuit for nonlinear datasets B Wohlberg, R Chartrand, J Theiler 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 58 | 2012 |
A new generalized thresholding algorithm for inverse problems with sparsity constraints S Voronin, R Chartrand 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 51 | 2013 |
Nonconvex regularization for shape preservation R Chartrand 2007 IEEE International Conference on Image Processing 1, I-293-I-296, 2007 | 48 | 2007 |