Nonconvex Compressed Sensing and Error Correction. - Rick Chartrand (ICASSP (3), 2007)

Nonconvex Regularization for Shape Preservation. - Rick Chartrand (ICIP (1), 2007)

Nonconvex Regularization for Image Segmentation. - Rick Chartrand; Valentina Staneva (IPCV, 2007)

A Variational Approach to Reconstructing Images Corrupted by Poisson Noise. - Triet Le; Rick Chartrand; Thomas J. Asaki (J. Math. Imaging Vis., 2007)

Exact Reconstruction of Sparse Signals via Nonconvex Minimization. - Rick Chartrand (IEEE Signal Process. Lett., 2007)

Iteratively reweighted algorithms for compressive sensing. - Rick Chartrand; Wotao Yin (ICASSP, 2008)

Stable sparse approximations via nonconvex optimization. - Rayan Saab; Rick Chartrand; Özgür Yilmaz (ICASSP, 2008)

Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling. - Rick Chartrand (ICIP, 2008)

A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model. - Rick Chartrand; Valentina Staneva (IPCV, 2008)

Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data. - Rick Chartrand (ISBI, 2009)

Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. - Erik M. Bollt; Rick Chartrand; Selim Esedoglu; Pete Schultz; Kevin R. Vixie (Adv. Comput. Math., 2009)

Total-variation regularization with bound constraints. - Rick Chartrand; Brendt Wohlberg (ICASSP, 2010)

Introduction to the Issue on Compressive Sensing. - Rick Chartrand; Richard G. Baraniuk; Yonina C. Eldar; Mário A. T. Figueiredo; Jared Tanner (IEEE J. Sel. Top. Signal Process., 2010)

Frequency extrapolation by nonconvex compressive sensing. - Rick Chartrand; Emil Y. Sidky; Xiaochuan Pan (ISBI, 2011)

Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. - Amy E. Galbraith; Steven P. Brumby; Rick Chartrand (AIPR, 2012)

Local principal component pursuit for nonlinear datasets. - Brendt Wohlberg; Rick Chartrand; James Theiler (ICASSP, 2012)

Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition. - Rick Chartrand (IEEE Trans. Signal Process., 2012)

Nonconvex compressive sensing for X-ray CT: An algorithm comparison. - Rick Chartrand; Emil Y. Sidky; Xiaochuan Pan (ACSSC, 2013)

Generalized shrinkage and penalty functions. - Rick Chartrand (GlobalSIP, 2013)

A nonconvex ADMM algorithm for group sparsity with sparse groups. - Rick Chartrand; Brendt Wohlberg (ICASSP, 2013)

A new generalized thresholding algorithm for inverse problems with sparsity constraints. - Sergey Voronin; Rick Chartrand (ICASSP, 2013)

Robust Compressed Sensing and Sparse Coding with the Difference Map. - Will Landecker; Rick Chartrand; Simon DeDeo (CoRR, 2013)

Robust Sparse Coding and Compressed Sensing with the Difference Map. - Will Landecker; Rick Chartrand; Simon DeDeo (ECCV (3), 2014)

Shrinkage mappings and their induced penalty functions. - Rick Chartrand (ICASSP, 2014)

Task-driven dictionary learning for inpainting. - Huiyi Hu; Brendt Wohlberg; Rick Chartrand (ICASSP, 2014)

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. - Michael S. Warren; Steven P. Brumby; Samuel W. Skillman; Tim Kelton; Brendt Wohlberg; Mark Mathis; Rick Chartrand; Ryan Keisler; Mark Johnson (AIPR, 2015)

Compressed Sensing Recovery via Nonconvex Shrinkage Penalties. - Joseph Woodworth; Rick Chartrand (CoRR, 2015)

Building a living atlas of the Earth in the cloud. - Daniela I. Moody; Michael S. Warren; Samuel W. Skillman; Rick Chartrand; Steven P. Brumby; Ryan Keisler; Tim Kelton; Mark Mathis (ACSSC, 2016)

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. - Michael S. Warren; Samuel W. Skillman; Rick Chartrand; Tim Kelton; Ryan Keisler; David Raleigh; Matthew Turk 002 (DataCloud@SC, 2016)

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. - Chandana Gangodagamage; Efi Foufoula-Georgiou; Steven P. Brumby; Rick Chartrand; Alexander Koltunov; Desheng Liu; Michael Cai; Susan L. Ustin (IEEE Geosci. Remote. Sens. Lett., 2016)

Numerical differentiation of noisy, nonsmooth, multidimensional data. - Rick Chartrand (GlobalSIP, 2017)

Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics. - Caitlin Kontgis; Michael S. Warren; Samuel W. Skillman; Rick Chartrand; Daniela I. Moody (MultiTemp, 2017)

Regularized Differentiation for Insar Phase Unwrapping. - Rick Chartrand (IGARSS, 2018)

Exploiting Sparsity for Phase Unwrapping. - Rick Chartrand; Matthew T. Calef; Michael S. Warren (IGARSS, 2019)

Estimating the Number of Harvests Per Rice Paddy Field. - Caitlin Kontgis; Kornelijus Survila; Rick Chartrand; Dylan Rich (IGARSS, 2019)

BUDD: Multi-modal Bayesian Updating Deforestation Detections. - Alice M. S. Durieux; Christopher X. Ren; Matthew T. Calef; Rick Chartrand; Michael S. Warren (IGARSS, 2020)