Publications

Pre-print

  1. C. Y. Park, S. Shoushtari, H. An, and U. S. Kamilov, “Measurement Score-Based Diffusion Model.”
    [Project Page] [arXiv:2505.11853] [code]
  2. S. Shoushtari, E. P. Chandler, Y. Wang, M. S. Asif, and U. S. Kamilov, “Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models.”
    [arXiv:2505.11482]
  3. C. Y. Park, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov, “Random Walks with Tweedie: A Unified Framework for Diffusion Models.”
    [Project Page] [arXiv:2411.18702] [code]
  4. Y. Hu, A. Peng, W. Gan, and U. S. Kamilov, “ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction.”
    [Project Page] [arXiv:2411.16535]
  5. E. P. Chandler, S. Shoushtari, B. Wohlberg, and U. S. Kamilov, “Closed-Form Approximation of the Total Variation Proximal Operator.”
    [arXiv:2412.07718]
  6. N. Yismaw, U. S. Kamilov, and M. S. Asif, “Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling.”
    [arXiv:2409.08906]
  7. S. Shoushtari, E. P. Chandler, J. Zhang, M. Senanayake, S. V. Pingali, M. Foston, and U. S. Kamilov, “PnP Restoration with Domain Adaptation for SANS.”
    [arXiv:2403.10495]

In Press

  1. Y. Hu, A. Peng, W. Gan, P. Milanfar, M. Delbracio, and U. S. Kamilov, “Stochastic Deep Restoration Priors for Imaging Inverse Problems, Proc. Int. Conf. Mach. Learn. (ICML 2025) (Vancouver, Canada, July 13-19), in press.
    [Project Page] [arXiv:2410.02057]
  2. C. Y. Park, Y. Hu, M. T. McCann, C. Garcia-Cardona, B. Wohlberg, and U. S. Kamilov, “Plug-and-Play Priors as a Score-Based Method,” Proc. IEEE Int. Conf. Image Proc. (ICIP 2025) (Anchorage, USA, September 14-17)
    [Project Page] [arXiv:2412.11108] [code]
  3. M. Terris, U. S. Kamilov, and T. Moreau, “FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems,” Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR 2025) (Nashville, TN, USA, June 11-15), in press
    [arXiv:2411.18970]
  4. A. Li, W. Gan, and U. S. Kamilov, “Plug-and-Play Posterior Sampling for Blind Inverse Problems,” Proc. IEEE Stat. Signal Process. Workshop (SSP 2025) (Edinburgh, UK, June 8-11), in press.
  5. P. Goyes-Penafiel, H. Arguello, and U. S. Kamilov, “Enhancing Seismic Post-stack Reconstruction with Diffusion Models: Addressing Uncertainty and Structural Complexity,” Proc. IEEE Stat. Signal Process. Workshop (SSP 2025) (Edinburgh, UK, June 8-11), in press.
  6. N. T. Yismaw, U. S. Kamilov, and M. S. Asif, “Covariance-Corrected Diffusion Models for Solving Inverse Problems,” Proc. IEEE Stat. Signal Process. Workshop (SSP 2025) Edinburgh, UK, June 8-11), in press.
  7. H. Gao, W. Gan, Y. Hu, H. An, and U. S. Kamilov, “A Self-Supervised Diffusion Bridge for MRI Reconstruction,” Proc. IEEE Int. Symp. Biomed. Imaging (ISBI 2025) Houston, TX, USA, February 28-March 4), in press.
    [arXiv:2501.03430]
  8. A. K. Scott, D. M. Fodera, P. Yang, A. Arter, A. M. Hines, S. S. Kolluru, S. G. Zambuto, K. M. Myers, U. S. Kamilov, A. O. Odibo, M. L. Oyen, “Bioengineering approaches for patient-specific analysis of placenta structure and function,” Placenta, in press.
    [10.1016/j.placenta.2024.08.005]

Recent Publications

  1. C. Park, W. Gan, Z. Zou, Y. Hu, Z. Sun, U. S. Kamilov, “Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning,” J. Math. Imaging Vis., vol. 67, no. 21, 2025.
    [10.1007/s10851-025-01241-1] [arXiv:2311.02003]
  2. X. Xu, W. Gan, S. V.V.N. Kothapalli, D. A. Yablonskiy, and U. S. Kamilov, “CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping,” J. Math. Imaging Vis., vol. 67, no. 20, 2025.
    [Project Page] [10.1007/s10851-025-01236-y] [arXiv:2210.06330]
  3. P. Goyes-Penafiel, U. S. Kamilov, and H. Arguello, “CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction,” IEEE Geosci. Remote Sens. Lett., vol. 22, pp. 1-5, 2025.
    [10.1109/LGRS.2025.3545860] [arXiv:2407.17402]
  4. W. Gan, H. Xie, C. von Gall, G. Platsch, M. T. Jurkiewicz, A. Andrade, U. C. Anazodo, U. S. Kamilov, H. An, and J. Cabello, “Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model,” vol. 9, no. 4, pp. 412-420, April 2025.
    [10.1109/TRPMS.2025.3528728] [arXiv:2403.18139]
  5. Z. Zhang, Y. Hao, X. Jin, D. Yang, U. S. Kamilov, and G. D. Hugo, “Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration,” Biomed. Phys. Eng. Express, vol. 11, no. 1, p. 015030, 2025.
    [10.1088/2057-1976/ad97c1]

Notable Publications

  1. C. Park, S. Shoustari, W. Gan, and U. S. Kamilov, “Convergence of Nonconvex PnP-ADMM With MMSE Denoisers,” Proc. Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2023) (Los Suenos, Costa Rica, December 10-13), pp. 511-515.
    [Project Page] [10.1109/CAMSAP58249.2023.10403463] [CAMSAP 2023 Student Paper Award finalist]
  2. 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.
    [10.1109/tsp.2012.2217334] [arXiv:1105.6368] [IEEE SPS Best Paper Award 2017]
  3. 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.
    [10.1364/optica.2.000517] [Nature “News and Views”]
  4. H.-Y. Liu, U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos, “Compressive Imaging with Iterative Forward Models,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2017) (New Orleans, USA, March 5-9), pp. 6025-6029.
    [10.1109/ICASSP.2017.7953313] [ICASSP 2017 Student Paper Award finalist]
  5. U. S. Kamilov, V. K. Goyal, and S. Rangan, “Generalized Approximate Message Passing Estimation from Quantized Samples,” Proc. 4th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2011) (San Juan, Puerto Rico, December 13-16), pp. 401-404.
    [10.1109/camsap.2011.6136027] [CAMSAP 2011 Student Paper Award finalist]
  6. Y. Sun, J. Liu, Y. Sun, B. Wohlberg, and U. S. Kamilov, “Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors,” Proc. Int. Conf. Learn. Represent. (ICLR 2021) (Vienna, Austria, May 4-8).
    [OpenReview] [arXiv:2010.01446] [Spotlight: 114/2997 = 4%]