| 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 | 240 | 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 | 236 | 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 | 180 | 2020 |
| Efficient and accurate inversion of multiple scattering with deep learning Y Sun, Z Xia, US Kamilov Optics express 26 (11), 14678-14688, 2018 | 156 | 2018 |
| 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 | 130* | 2021 |
| Scalable plug-and-play ADMM with convergence guarantees Y Sun*, Z Wu*, X Xu*, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 7, 849-863, 2021 | 101 | 2021 |
| Block coordinate regularization by denoising Y Sun, J Liu, US Kamilov Advances in Neural Information Processing Systems 33, 2019 | 100 | 2019 |
| Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields R Liu*, Y Sun*, J Zhu, L Tian, U Kamilov Nature Machine Intelligence, 2022 | 96* | 2022 |
| 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 |
| 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 |
| Regularized Fourier ptychography using an online plug-and-play algorithm Y Sun, S Xu, Y Li, L Tian, B Wohlberg, US Kamilov ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 58 | 2019 |
| 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 |
| 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, 1305-1312, 2020 | 35 | 2020 |
| 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 | 27* | 2022 |
| 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 using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images M Torop, S Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, US Kamilov Magnetic Resonance in Medicine, 2019 | 20* | 2019 |
| Provable probabilistic imaging using score-based generative priors Y Sun, Z Wu, Y Chen, BT Feng, KL Bouman IEEE Transactions on Computational Imaging, 2024 | 18 | 2024 |
| Learning cross-video neural representations for high-quality frame interpolation W Shangguan*, Y Sun*, W Gan, US Kamilov Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 18 | 2022 |
| 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 (ICLR), Spotlight, 2021 | 18 | 2021 |
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)在 wustl.edu 的电子邮件经过验证