- R. Chartrand, "Regularized differentiation for InSAR phase unwrapping," in IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
- D. I. Moody, S. P. Brumby, R. Chartrand, R. Keisler, M. Mathis, C. M. Beneke, D. Nicholaeff, S. Skillman, M. S. Warren, and J. Poehnelt, "Satellite imagery analysis for automated global food security forecasting," in SPIE Defense and Security, Orlando, Florida, April 2018.
- R. Chartrand, "Numerical differentiation of noisy, nonsmooth, multidimensional data," in IEEE Global Conference on Signal and Information Processing, Montreal, Canada, November 2017.
- C. Kontgis, M. S. Warren, S. W. Skillman, R. Chartrand, and D. I. Moody, "Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics," in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Bruges, Belgium, June 2017.
- D. I. Moody, S. P. Brumby, R. Chartrand, R. Keisler, N. Longbotham, C. Mertes, S. W. Skillman, and M. S. Warren, "Crop classification using temporal stacks of multispectral satellite imagery," in SPIE Defense Security, Anaheim, California, April 2017.
- J. Woodworth and R. Chartrand, "Compressed sensing recovery via nonconvex shrinkage penalties." Inverse Problems, vol. 32, pp. 75004–75028, 2016.
- D. I. Moody, M. S. Warren, S. W. Skillman, R. Chartrand, S. P. Brumby, R. Keisler, T. Kelton, and M. Mathis, "Building a living atlas of the Earth in the cloud," in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2016.
- M. S. Warren, S. W. Skillman, R. Chartrand, T. Kelton, R. Keisler, D. Raleigh, and M. Turk, "Data-intensive supercomputing in the cloud: global analytics for satellite imagery," in 7th International Workshop in Data-Intensive Computing in the Cloud, Salt Lake City, Utah, November, 2016.
- C. Gangodagamage, E. Foufoula-Georgiou, S. P. Brumby, R. Chartrand, A. Koltunov, D. Liu, M. Cai, and S. L. Ustin, "Wavelet-compressed representation of landscapes for hydrologic and geomorphologic applications," IEEE Geosciences and Remote Sensing Letters vol. 13, pp. 480–484, 2016.
- M. S. Warren, S. P. Brumby, S. W. Skillman, T. Kelton, B. Wohlberg, M. Mathis, R. Chartrand, R. Keisler, and M. Johnson, “Seeing the Earth in the cloud: processing one petabyte of satellite imagery in one day,” in IEEE Applied Imagery and Pattern Recognition Workshop, Washington, District of Columbia, October 2015.
- Rick Chartrand, "Shrinkage mappings and their induced penalty functions," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.
- Huiyi Hu, Brendt Wohlberg, and Rick Chartrand, "Task-driven dictionary learning for inpainting," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.
- Will Landecker, Rick Chartrand, and Simon DeDeo, "Robust sparse coding and compressed sensing with the difference map," in European Conference on Computer Vision, Zurich, Switzerland, September 2014.
- Emil Y. Sidky, Rick Chartrand, John M. Boone, and Xiaochuan Pan, "Constrained TpV minimization for enhanced exploitation of gradient sparsity: application to CT image reconstruction," IEEE Journal Translational Engineering in Health and Medicine, vol. 2, pp. 1–18, 2014.
- Rick Chartrand and Brendt Wohlberg, "A nonconvex ADMM algorithm for group sparsity with sparse groups," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013.
- Rick Chartrand, "Nonconvex compressive sensing for X-ray CT: an algorithm comparison," in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2013.
- Rick Chartrand, "Generalized shrinkage and penalty functions," in IEEE Global Conference on Signal and Information Processing, Austin, Texas, December 2013.
- Emil Y. Sidky, Rick Chartrand, Jakob S. Jørgensen, and Xiaochuan Pan, "Nonconvex optimization for improved exploitation of gradient sparsity in CT image reconstruction," in Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Lake Tahoe, California, June 2013.
- Zhengping Ji, James Theiler, Rick Chartrand, Garrett Kenyon, and Steven P. Brumby, "SIFT-based sparse coding for large-scale visual recognition," in SPIE Defense, Security, and Sensing, Baltimore, Maryland, April 2013.
- Sergey Voronin and Rick Chartrand, "A new generalized thresholding algorithm for inverse problems with sparsity constraints," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013.
- Brendt Wohlberg, Rick Chartrand, and James Theiler, "Local Principal Component Pursuit for Nonlinear Datasets,", in IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 2012.
- Rick Chartrand, "Nonconvex splitting for regularized low-rank + sparse decomposition", IEEE Transactions on Signal Processing, vol. 60, pp. 5810–5819, 2012.
- Amy E. Galbraith, Steven P. Brumby, and Rick Chartrand, "Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery," in IEEE Applied Imagery Pattern Recognition Workshop, Washington, District of Columbia, October 2012.
- Rick Chartrand, Emil Y. Sidky, and Xiaochuan Pan, "Frequency extrapolation by nonconvex compressive sensing," in IEEE International Symposium on Biomedical Imaging, CHicago, Illinois, March 2011.
- Rick Chartrand, "Numerical differentiation of noisy, nonsmooth data," ISRN Applied Mathematics, vol. 2011, Article ID 164564, 2011.
- Rick Chartrand and Brendt Wohlberg, "Total-variation regularization with bound constraints," in IEEE International Conference on Acoustics, Speech, and Signal Processing , Dallas, Texas, March 2010.
- Emil Y. Sidky, Rick Chartrand, Yuval Duchin, Christer Ullberg, and Xiaochuan Pan, "High resolution image reconstruction with constrained, total-variation minimization," in IEEE Nuclear Science Symposium Conference Record, Knoxville, Tennessee, October 2010.
- Rick Chartrand, "Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data," in IEEE International Symposium on Biomedical Imaging, Boston, Massachusetts, June 2009.
- Rick Chartrand, Kevin R. Vixie, Brendt Wohlberg, and Erik M. Bollt, "A gradient descent solution to the Monge-Kantorovich problem", Applied Mathematical Sciences, vol. 3, pp. 1071–1080, 2009.
- Erik M. Bollt, Rick Chartrand, Selim Esedog̅lu, Peter F. Schultz, and Kevin R. Vixie, "Graduated, adaptive image denoising: local compromise between total-variation and isotropic diffusion", Advances in Computational Mathematics, vol. 31, pp. 61–85, 2009.
- C. L. Morris, C. C. Alexander, J. D. Bacon, G. S. Blanpied, K. N. Borozdin, R. Chartrand, D. J. Clark, C. J. Espinoza, A. M. Fraser, M. C. Galassi, J. J. Gomez, J. S. Gonzales, J. A. Green, N. W. Hengartner, G. E. Hogan, A. V. Klimenko, M. F. Makela, P. McGaughey, J. J. Medina, F. E. Pazuchanics, W. C. Priedhorsky, J. C. Ramsey, A. Saunders, R. C. Schirato, L. J. Schultz, and M. J. Sossong, "Tomographic imaging with cosmic-ray muons," Science & Global Security, vol. 16, pp. 37–53, 2008.
- Emil Y. Sidky, Ingrid Reiser, Robert M. Nishikawa, Xiaochuan Pan, Rick Chartrand, Daniel B. Kopans, and Richard H. Moore, "Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization," in SPIE Medical Imaging, San Diego, California, February 2008.
- Rick Chartrand, "Nonconvex compressive sensing and reconstruction of gradient-sparse images: random vs. tomographic Fourier sampling," in IEEE International Conference on Image Processing, San Diego, California, October 2008.
- Rick Chartrand and Valentina Staneva, "Restricted isometry properties and nonconvex compressive sensing," Inverse Problems, vol. 24, no. 035020, pp. 1–14, 2008.
- Rick Chartrand and Valentina Staneva, "A faster-converging algorithm for image segmentation with a modified Chan-Vese model," in International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, July 2008.
- Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Nevada, April 2008.
- Rayan Saab, Rick Chartrand, and Özgür Yilmaz, "Stable sparse approximations via nonconvex optimization," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Nevada, April 2008.
- Rick Chartrand and Valentina Staneva, "A quasi-Newton method for total variation regularization of images corrupted by non-Gaussian noise," IET Image Processing, vol. 2, pp. 295–303, 2008.
- Emil Y. Sidky, Rick Chartrand, and Xiaochuan Pan, "Image reconstruction from few views by non-convex optimization," in IEEE Nuclear Science Symposium Conference Record, Honolulu, Hawaii, October 2007.
- Rick Chartrand and Valentina Staneva, "Nonconvex regularization for image segmentation," in International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, June 2007.
- Rick Chartrand, "Nonconvex regularization for shape preservation," in IEEE International Conference on Image Processing, San Antonio, Texas, September 2007.
- Rick Chartrand, "Exact reconstructions of sparse signals via nonconvex minimization," IEEE Signal Processing Letters, vol. 14, pp. 707–710, 2007.
- Rick Chartrand, "Nonconvex compressed sensing and error correction", in IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, April 2007.
- C. L. Rousculp, J. E. Hammerberg, D. M. Oro, G. Rodriguez, P. M. Goodwin, M. A. Salazar, R. E. Reinovsky, R. J. Faehl, R. Chartrand, J. R. Becker, R. A. Berglin, K. W. Delzer, G. H. Gomez, R. M. Malone, D. V. Morgan, T. V. Pate, K. E. Theuer, D. A. Rigney, and H. J. Kim, "Dynamic friction experiments at the Atlas Pulsed Power Facility," in 16th IEEE International Pulsed Power Conference, Albuquerque, New Mexico, June 2007.
- Triet Le, Rick Chartrand, and Thomas J. Asaki, "A variational approach to reconstructing images corrupted by Poisson noise," Journal of Mathematical Imaging and Vision, vol. 27, pp. 257–263, 2007.
- Thomas J. Asaki, Patrick R. Campbell, Rick Chartrand, Collin E. Powell, Kevin R. Vixie, and Brendt Wohlberg, "Abel inversion using total variation regularization: Applications," Inverse Problems in Science and Engineering, vol. 14, pp. 873–885, 2006.
- J. A. Green, C. Alexander, T. Asaki, J. Bacon, G. Blanpied, K. Borozdin, A. Canabal-Rey, M. Cannon, R. Chartrand, D. Clark, C. Espinoza, E. Figueroa, A. Fraser, M. Galassi, J. Gomez, J. Gonzales, A. Green, N. Hengartner, G. Hogan, A. Klimenko, P. McGaughey, G. McGregor, J. Medina, C. Morris, K. Mosher, C. Orum, F. Pazuchanics, W. Priedhorsky, A. Sanchez, A. Saunders, R. Schirato, L. Schultz, M. Sossong, M. Sottile, J. Tenbrink, R. Van de Water, K. Vixie, and B. Wohlberg, "Optimizing the tracking efficiency for cosmic ray muon tomography," in 2006 IEEE Nuclear Science Symposium Conference Record, San Diego, California, October 2006.
- T. J. Asaki, R. Chartrand, K. R. Vixie, and B. Wohlberg, "Abel inversion using total-variation regularization," Inverse Problems, vol. 21, pp. 1895–1903, 2005.
- Konstantin Borozdin, Thomas Asaki, Rick Chartrand, Mark Galassi, Andrew Green, Nicolas Hengartner, Gary Hogan, Alexei Klimenko, Christopher Morris, William Priedhorsky, Alexander Saunders, Richard Schirato, Larry Schultz, and Matthew Sottile, "Cosmic-ray muon tomography and its application to the detection of high-Z materials," in Proceedings of the 46th Annual Meeting, Institute of Nuclear Materials Management, Phoenix, Arizona, July 2005.
- K. Borozdin, T. Asaki, R. Chartrand, N. Hengartner, G. Hogan, C. Morris, W. Priedhorsky, R. Schirato, L. Schultz, M. Sottile, K. Vixie, B. Wohlberg, and G. Blanpied, "Information extraction from muon radiography data," in ISAS/CITSA 2004: International Conference on Cybernetics and Information Technologies, Systems and Applications and 10th International Conference on Information Systems Analysis and Synthesis, Vol 2, Proceedings: Communications, Information and Control Systems, Technologies and Applications, pp. 27–30, Orlando, Florida, July 2004.
- Rick Chartrand, "Multipliers and Carleson measures for D(μ)," Integral Equations and Operator Theory, vol. 45, pp. 309–318, 2003.
- Rick Chartrand, "Toeplitz operators on Dirichlet-type spaces", Journal of Operator Theory, vol. 48, pp. 3–13, 2002.
- Rick Chartrand, Hilbert spaces of holomorphic functions: zero sets, invariant subspaces, and Toeplitz operators., Ph.D. thesis, University of California, Berkeley, 1999.
- Rick Chartrand and Thomas Kucera, "Deissler rank complexity of powers of indecomposable injective modules," Notre Dame Journal of Formal Logic, vol. 35, pp. 398–402, 1994.