| 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 | 179 | 2020 |
| 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 |
| Online deep equilibrium learning for regularization by denoising J Liu, X Xu, W Gan, U Kamilov Advances in Neural Information Processing Systems 35, 25363-25376, 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 | 31* | 2021 |
| 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 |
| 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, 2024 | 18* | 2024 |
| Learning cross-video neural representations for high-quality frame interpolation W Shangguan, Y Sun, W Gan, US Kamilov European Conference on Computer Vision, 511-528, 2022 | 18 | 2022 |
| 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 |
| Image reconstruction for mri using deep cnn priors trained without groundtruth W Gan, C Eldeniz, J Liu, S Chen, H An, US Kamilov 2020 54th Asilomar Conference on Signals, Systems, and Computers, 475-479, 2020 | 14 | 2020 |
| 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, 2023 | 13* | 2023 |
| DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging H Xie*, W Gan*, B Zhou, X Chen, Q Liu, X Guo, L Guo, H An, US Kamilov, ... arXiv e-prints, arXiv: 2311.04248, 2023 | 12* | 2023 |
| Block coordinate plug-and-play methods for blind inverse problems W Gan, Y Hu, J Liu, H An, U Kamilov Advances in Neural Information Processing Systems 36, 2023 | 11 | 2023 |
| Stochastic deep unfolding for imaging inverse problems J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| Joint reconstruction and calibration using regularization by denoising with application to computed tomography M Xie, J Liu, Y Sun, W Gan, B Wohlberg, US Kamilov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
| PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction W Gan, Q Zhai, MT McCann, CG Cardona, US Kamilov, B Wohlberg IEEE Open Journal of Signal Processing, 2024 | 6 | 2024 |
| CoRRECT: A deep unfolding framework for motion-corrected quantitative R2* mapping X Xu, W Gan, SVVN Kothapalli, DA Yablonskiy, US Kamilov arXiv preprint arXiv:2210.06330, 2022 | 6 | 2022 |
| MR‐assisted PET respiratory motion correction using deep‐learning based short‐scan motion fields S Chen, TJ Fraum, C Eldeniz, J Mhlanga, W Gan, T Vahle, ... Magnetic resonance in medicine 88 (2), 676-690, 2022 | 6 | 2022 |
| Dose-aware diffusion model for 3D low-dose PET: multi-institutional validation with reader study and real low-dose data H Xie, W Gan, B Zhou, MK Chen, M Kulon, A Boustani, BA Spencer, ... arXiv preprint arXiv:2405.12996, 2024 | 5 | 2024 |
| Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI‐Linac system S Chen, C Eldeniz, TJ Fraum, DR Ludwig, W Gan, J Liu, US Kamilov, ... Medical physics 50 (10), 6163-6176, 2023 | 5 | 2023 |
| 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, ... Proc. Int. Symp. Biomedical Imaging (ISBI), 2024 | 4 | 2024 |
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Verified email at wustl.edu