Pre-print

  1. Y. Ma, H. Mansour, D. Liu, P. T. Boufounos, and U. S. Kamilov, “Accelerated Image Reconstruction for Nonlinear Diffractive Imaging.” [arXiv:1708.01663]

In press

  1. H.-Y. Liu, D. Liu, H. Mansour, P. T. Boufounos, L. Waller, and U. S. Kamilov, “SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering,” IEEE Trans. Comput. Imag., in press.[doi:10.1109/tci.2017.2764461][arXiv:1705.04281]
  2. U. S. Kamilov, H. Mansour, and B. Wohlberg, “A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems,” IEEE Signal Process. Letters, in press.[doi:10.1109/lsp.2017.2763583]

Notable Publications

  1. U. S. Kamilov and P. T. Boufounos, “Motion-Adaptive Depth Superresolution,” IEEE Trans. Image Process, vol. 26, no. 4, pp. 1723-1731, April 2017.
    [doi:10.1109/tip.2017.2658944]
  2. U. S. Kamilov, “A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization,” IEEE Trans. Image Process., vol. 26, no. 2, pp. 539-548, February 2017.
    [doi:10.1109/tip.2016.2629449]
  3. U. S. Kamilov and H. Mansour, “Learning optimal nonlinearities for iterative thresholding algorithms,” IEEE Signal Process. Letters, vol. 23, no. 5, pp. 747–751, May 2016.
    [doi:10.1109/lsp.2016.2548245] [arXiv:1512.04754]
  4. U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, “Optical tomographic image reconstruction based on beam propagation and sparse regularization,” IEEE Trans. Comput. Imag., vol. 2, no. 1, pp. 59–70, March 2016.
    [doi:10.1109/tci.2016.2519261]
  5. U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, 
“Learning Approach to Optical Tomography,” Optica, vol. 2, no. 6, pp. 517–522, June 2015.
    [doi:10.1364/optica.2.000517] [Nature “News and Views”]
  6. U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser, “Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning,” Proc. Ann. Conf. Neural Information Processing Systems (NIPS 2012) (Lake Tahoe, Nevada, December 3-6), pp. 2447-2455.
    [nips:4498]
  7. U. S. Kamilov, V. K. Goyal, and S. Rangan, “Message-Passing De-Quantization with Applications to Compressed Sensing,” IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6270–6281, December 2012.
    [doi:10.1109/tsp.2012.2217334] [arXiv:1105.6368]
  8. U. S. Kamilov, E. Bostan, and M. Unser, “Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising,” IEEE Signal Process. Letters, vol. 19, no. 4, pp. 187–190, April 2012.
    [doi:10.1109/lsp.2012.2185929]