| 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 | 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, 2024 | 14* | 2024 |
| MR cranial bone imaging: evaluation of both motion-corrected and automated deep learning pseudo-CT estimated MR images AD Linkugel, T Wang, PE Boroojeni, C Eldeniz, Y Chen, GB Skolnick, ... American Journal of Neuroradiology 45 (9), 1284-1290, 2024 | 2 | 2024 |
| Scatter Estimation and Correction for Experimental and Simulated Data in Multi-Slice Computed Tomography Using Machine Learning and Minimum Least Squares Methods T Wang | | 2021 |
| 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, ... | | |
