| Self-supervised deep equilibrium models with theoretical guarantees and applications to MRI reconstruction W Gan, C Ying, PE Boroojeni, T Wang, C Eldeniz, Y Hu, J Liu, Y Chen, ... IEEE Transactions on Computational Imaging 9, 796-807, 2023 | 15* | 2023 |
| SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction Y Hu, W Gan, C Ying, T Wang, C Eldeniz, J Liu, Y Chen, H An, ... Magnetic resonance in medicine 92 (3), 1048-1063, 2024 | 14* | 2024 |
| A Restoration Network as an Implicit Prior Y Hu, M Delbracio, P Milanfar, US Kamilov 2024 International Conference on Learning Representations (ICLR), 2024 | 14 | 2024 |
| Block coordinate plug-and-play methods for blind inverse problems UK Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An Advances in Neural Information Processing Systems 36, 2024 | 13* | 2024 |
| Monotonically convergent regularization by denoising Y Hu, J Liu, X Xu, US Kamilov 2022 IEEE International Conference on Image Processing (ICIP), 426-430, 2022 | 9 | 2022 |
| SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth W Gan*, Y Hu*, C Eldeniz, J Liu, Y Chen, H An, US Kamilov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 9 | 2021 |
| Deep model-based architectures for inverse problems under mismatched priors S Shoushtari, J Liu, Y Hu, US Kamilov IEEE Journal on Selected Areas in Information Theory 3 (3), 468-480, 2022 | 6 | 2022 |
| DiffGEPCI: 3D MRI synthesis from mGRE signals using 2.5 D diffusion model Y Hu, SVVN Kothapalli, W Gan, AL Sukstanskii, GF Wu, M Goyal, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | 5 | 2024 |
| Stochastic deep restoration priors for imaging inverse problems Y Hu, A Peng, W Gan, P Milanfar, M Delbracio, US Kamilov arXiv preprint arXiv:2410.02057, 2024 | 4 | 2024 |
| ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction Y Hu*, A Peng*, W Gan, US Kamilov arXiv preprint arXiv:2411.16535, 2024 | 1 | 2024 |
| A Structured Pruning Algorithm for Model-based Deep Learning C Park, W Gan, Z Zou, Y Hu, Z Sun, US Kamilov arXiv preprint arXiv:2311.02003, 2023 | 1 | 2023 |
| Self-supervised joint image reconstruction and coil sensitivity calibration in parallel mri without ground truth U Kamilov, H An, Y Hu, LIU Jiaming, C Eldeniz, W Gan, Y Chen US Patent App. 17/968,541, 2023 | 1 | 2023 |
| A Self-supervised Diffusion Bridge for MRI Reconstruction H Gao, W Gan, Y Hu, H An, US Kamilov arXiv preprint arXiv:2501.03430, 2025 | | 2025 |
| Plug-and-Play Priors as a Score-Based Method CY Park, Y Hu, MT McCann, C Garcia-Cardona, B Wohlberg, US Kamilov arXiv preprint arXiv:2412.11108, 2024 | | 2024 |
| Efficient Model-based Deep Learning via Network Pruning and Fine-Tuning CY Park, W Gan, Z Zou, Y Hu, Z Sun, US Kamilov | | 2024 |
| Self-supervised deep learning image reconstruction with weighted training loss H An, U Kamilov, PE Boroojeni, W Gan, LIU Jiaming, Y Hu US Patent App. 18/483,258, 2024 | | 2024 |
| Deep Unfolding MR reconstruction-weighting the k-space sampling Density in training Loss (wkDeLo) PE Boroojeni, W Gan, J Liu, Y Hu, Y Chen, P Commean, C Eldeniz, ... Proceedings of the Annual Meeting of the ISMRM (2023), 2023 | | 2023 |
| SELF-SUPERVISED JOINT IMAGE RECONSTRUCTION AND COIL SENSITIVITY CALIBRATION IN PARALLEL MRI WITHOUT GROUND TRUTH Y Hu | | 2022 |
| MOTIF-CORD: Motion Integrated Forward Model with Co-Estimated Coil Sensitivity and Regularization by Denoiser for Free Breathing Liver DCE-MRI C Guo, S Chen, W Gan, Y Hu, J Liu, C Eldeniz, Y Chen, US Kamilov, ... | | |
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Verified email at wustl.edu
