Pre-print

  1. W. Gan, S. Shoushtari, Y. Hu, J. Liu, H. An, and U. S. Kamilov, “Block Coordinate Plug-and-Play Methods for Blind Inverse Problems.”
    [Project Page] [arXiv:2305.12672]
  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.”
    [Project Page] [arXiv:2210.06330]
  3. Y. Hu, W. Gan, C. Ying, T. Wang, C. Eldeniz, J. Liu, Y. Chen, H. An, and U. S. Kamilov, “SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation.”
    [Project Page] [arXiv:2210.02584]

In Press

  1. W. Gan, C. Ying, P. Eshraghi, T. Wang, C. Eldeniz, Y. Hu, J. Liu, Y. Chen, H. An, and U. S. Kamilov, “Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees,” IEEE Trans. Comput. Imag., in press.
    [arXiv:2210.03837]
  2. J. Liu, R. Anirudh, J. J. Thiagarajan, S. He, K. A. Mohan, U. S. Kamilov, and H. Kim, “DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction,” Proc. IEEE Int. Conf. Comp. Vis. (ICCV 2023) (Paris, France, October 2–6), in press.
    [Project Page] [arXiv:2211.12340]
  3. Z. Zou, J. Liu, B. Wohlberg, and U. S. Kamilov, “Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems,” IEEE Open J. Signal Process, in press.
    [Project Page] [doi:10.1109/ojsp.2023.3296036] [arXiv:2303.05386]
  4. S. Shoushtari, J. Liu, and U. S. Kamilov, “DOLPH: Diffusion Models for Phase Retrieval,” 57th Asilomar Conf. Signals, Systems, & Computers 2023, (Pacific Grove, CA, October 29-November 1), in press.
    [arXiv:2211.00529]
  5. S. Chen, C. Eldeniz, T. J. Fraum, D. R. Ludwig, W. Gan, J. Liu, U. S. Kamilov, D. Yang, H. M. Gach, and H. An, “Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system,” Med. Phys., in press.
    [doi:10.1002/mp.16469]

Recent Publications

  1. J. Liu, X. Xu, W. Gan, S. Shoushtari, and U. S. Kamilov, “Online Deep Equilibrium Learning for Regularization by Denoising,” Proc. Ann. Conf. Neural Information Processing Systems (NeurIPS 2022) (New Orleans, LA, November 28-December 9), in press.
    [Proc. NeurIPS 2022] [arXiv:2205.13051]
  2. T. Kerepecky, J. Liu, X. W. Ng, D. W. Piston, U. S. Kamilov, “Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2023) (Rhodes Island, Greece, June 4–10).
    [doi:10.1109/ICASSP49357.2023.10095386] [arXiv:2209.11729]
  3. J. Hu, S. Shoushtari, Z. Zou, J. Liu, Z. Sun, and U. S. Kamilov, “Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2023) (Rhodes Island, Greece, June 4–10).
    [doi:10.1109/icassp49357.2023.10096199] [arXiv:2211.00531]
  4. W. Gan, H. Gao, Z. Sun, and U. S. Kamilov, “SINCO: A Novel structural regularizer for image compression using implicit neural representations,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2023) (Rhodes Island, Greece, June 4–10).
    [doi:10.1109/icassp49357.2023.10095531] [arXiv:2210.14974]
  5. S. Shoushtari, J. Liu, Y. Hu, and U. S. Kamilov, “Deep Model-Based Architectures for Inverse Problems under Mismatched Priors,” IEEE J. Sel. Areas Inf. Theory, vol. 3, no. 3, pp. 468-480, September 2022.
    [Project Page] [doi:10.1109/jsait.2022.3220044] [arXiv:2207.13200]

Notable Publications

  1. 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] [IEEE SPS Best Paper Award 2017]
  2. 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”]
  3. 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.
    [doi:10.1109/ICASSP.2017.7953313] [ICASSP 2017 Student Paper Award finalist]
  4. 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]
  5. 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%]