Learning Approach to Optical Tomography US Kamilov, IN Papadopoulos, MH Shoreh, A Goy, C Vonesch, M Unser, ... Optica 2 (6), 517-522, 2015 | 358 | 2015 |
A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems US Kamilov, H Mansour, B Wohlberg IEEE Signal Processing Letters 24 (12), 1872-1876, 2017 | 217 | 2017 |
An online plug-and-play algorithm for regularized image reconstruction Y Sun, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 5 (3), 395-408, 2019 | 205 | 2019 |
Image restoration using total variation regularized deep image prior J Liu, Y Sun, X Xu, US Kamilov ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 196 | 2019 |
Optical tomographic image reconstruction based on beam propagation and sparse regularization US Kamilov, IN Papadopoulos, MH Shoreh, A Goy, C Vonesch, M Unser, ... IEEE Transactions on Computational Imaging 2 (1), 59-70, 2016 | 169 | 2016 |
Efficient and accurate inversion of multiple scattering with deep learning Y Sun, Z Xia, US Kamilov Optics Express 26 (11), 14678-14688, 2018 | 143 | 2018 |
RARE: Image reconstruction using deep priors learned without groundtruth J Liu, Y Sun, C Eldeniz, W Gan, H An, US Kamilov IEEE Journal of Selected Topics in Signal Processing 14 (6), 1088-1099, 2020 | 142 | 2020 |
Message-Passing De-Quantization with Applications to Compressed Sensing US Kamilov, VK Goyal, S Rangan IEEE Transactions on Signal Processing 60 (12), 6270-6281, 2012 | 130* | 2012 |
Learning optimal nonlinearities for iterative thresholding algorithms US Kamilov, H Mansour IEEE Signal Processing Letters 23 (5), 747-751, 2016 | 119 | 2016 |
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications US Kamilov, CA Bouman, GT Buzzard, B Wohlberg IEEE Signal Processing Magazine 40 (1), 85-97, 2023 | 110 | 2023 |
Autocalibration of lidar and optical cameras via edge alignment J Castorena, US Kamilov, PT Boufounos IEEE Int. Conf. on Acoustics, Speech, and Signal Process. (ICASSP 2016 …, 2016 | 99 | 2016 |
Approximate message passing with consistent parameter estimation and applications to sparse learning US Kamilov, S Rangan, AK Fletcher, M Unser Proc. NIPS 2012, 2447-2455, 2012 | 99 | 2012 |
CoIL: Coordinate-based internal learning for tomographic imaging Y Sun, J Liu, M Xie, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 7, 1400-1412, 2021 | 97* | 2021 |
Block coordinate regularization by denoising Y Sun, J Liu, US Kamilov Advances in Neural Information Processing Systems (NeurIPS) 33, 382-392, 2019 | 88 | 2019 |
One-bit measurements with adaptive thresholds US Kamilov, A Bourquard, A Amini, M Unser IEEE Signal Processing Letters 19 (10), 607-610, 2012 | 88 | 2012 |
SEAGLE: Sparsity-driven image reconstruction under multiple scattering HY Liu, D Liu, H Mansour, PT Boufounos, L Waller, US Kamilov IEEE Transactions on Computational Imaging 4 (1), 73-86, 2018 | 86 | 2018 |
Scalable plug-and-play admm with convergence guarantees Y Sun, Z Wu, X Xu, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging, 2021 | 83 | 2021 |
Provable Convergence of Plug-and-Play Priors with MMSE denoisers X Xu, Y Sun, J Liu, B Wohlberg, US Kamilov IEEE Signal Processing Letters 27, 1280-1284, 2020 | 75 | 2020 |
Inference for generalized linear models via alternating directions and Bethe free energy minimization S Rangan, AK Fletcher, P Schniter, US Kamilov IEEE Transactions on Information Theory 63 (1), 676-697, 2015 | 73 | 2015 |
A parallel proximal algorithm for anisotropic total variation minimization US Kamilov IEEE Transactions on Image Processing 26 (2), 539-548, 2017 | 64 | 2017 |