| 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 | 235 | 2019 |
| 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 | 178 | 2020 |
| 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 | 128* | 2021 |
| Block coordinate regularization by denoising Y Sun, J Liu, U Kamilov Advances in Neural Information Processing Systems 32, 2019 | 100 | 2019 |
| 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 | 86 | 2020 |
| DOLCE: A model-based probabilistic diffusion framework for limited-angle ct reconstruction J Liu, R Anirudh, JJ Thiagarajan, S He, KA Mohan, US Kamilov, H Kim Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 71 | 2023 |
| SIMBA: Scalable inversion in optical tomography using deep denoising priors Z Wu, Y Sun, A Matlock, J Liu, L Tian, US Kamilov IEEE Journal of Selected Topics in Signal Processing 14 (6), 1163-1175, 2020 | 65 | 2020 |
| Online regularization by denoising with applications to phase retrieval Z Wu, Y Sun, J Liu, U Kamilov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 46 | 2019 |
| Sgd-net: Efficient model-based deep learning with theoretical guarantees J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 7, 598-610, 2021 | 40 | 2021 |
| Recovery analysis for plug-and-play priors using the restricted eigenvalue condition J Liu, S Asif, B Wohlberg, U Kamilov Advances in Neural Information Processing Systems 34, 5921-5933, 2021 | 39 | 2021 |
| Boosting the performance of plug-and-play priors via denoiser scaling X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020 | 35 | 2020 |
| Online Deep Equilibrium Learning for Regularization by Denoising J Liu, X Xu, W Gan, S Shoushtari, US Kamilov Advances in Neural Information Processing Systems 35, 2022 | 33 | 2022 |
| Phase2Phase: respiratory motion-resolved reconstruction of free-breathing magnetic resonance imaging using deep learning without a ground truth for improved liver imaging C Eldeniz, W Gan, S Chen, TJ Fraum, DR Ludwig, Y Yan, J Liu, T Vahle, ... Investigative Radiology 56 (12), 809-819, 2021 | 27 | 2021 |
| A new recurrent plug-and-play prior based on the multiple self-similarity network G Song, Y Sun, J Liu, Z Wang, US Kamilov IEEE Signal Processing Letters 27, 451-455, 2020 | 24 | 2020 |
| Deep learning‐based motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) reconstruction Z Zhang, J Liu, D Yang, US Kamilov, GD Hugo Medical physics 50 (2), 808-820, 2023 | 20 | 2023 |
| Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... Magnetic resonance in medicine 84 (6), 2932-2942, 2020 | 20 | 2020 |
| Async-RED: A provably convergent asynchronous block parallel stochastic method using deep denoising priors Y Sun, J Liu, Y Sun, B Wohlberg, US Kamilov International Conference on Learning Representations 2020, 2020 | 18 | 2020 |
| Learning‐based motion artifact removal networks for quantitative mapping X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ... Magnetic resonance in medicine 88 (1), 106-119, 2022 | 16 | 2022 |
| Deformation-compensated learning for image reconstruction without ground truth W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov IEEE transactions on medical imaging 41 (9), 2371-2384, 2022 | 15 | 2022 |
| Deep Equilibrium Learning of Explicit Regularization Functionals for Imaging Inverse Problems Z Zou*, J Liu*, B Wohlberg, US Kamilov IEEE Open Journal of Signal Processing, 2023 | 14* | 2023 |
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Verified email at wustl.edu
