| An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset W Bian, Y Chen, X Ye, Q Zhang Neural Information Processing Systems 31, 998-1008, 2021 | 27 | 2021 |
| A learnable variational model for joint multimodal MRI reconstruction and synthesis W Bian, Q Zhang, X Ye, Y Chen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 23 | 2022 |
| Improving quantitative MRI using self‐supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping W Bian, A Jang, F Liu Magnetic Resonance in Medicine 92 (1), 98-111, 2024 | 15 | 2024 |
| Deep parallel MRI reconstruction network without coil sensitivities W Bian, Y Chen, X Ye Machine Learning for Medical Image Reconstruction: Third International …, 2020 | 14 | 2020 |
| Diffusion modeling with domain-conditioned prior guidance for accelerated mri and qmri reconstruction W Bian, A Jang, L Zhang, X Yang, Z Stewart, F Liu IEEE Transactions on Medical Imaging, 2024 | 13 | 2024 |
| An optimal control framework for joint-channel parallel MRI reconstruction without coil sensitivities W Bian, Y Chen, X Ye Magnetic Resonance Imaging 89, 1-11, 2022 | 11 | 2022 |
| Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis W Bian University of Florida, Departmenet of Math (DOI: 10.5281/zenodo.6863816), 2022 | 10 | 2022 |
| Magnetic Resonance Parameter Mapping using Self-supervised Deep Learning with Model Reinforcement W Bian, A Jang, F Liu ArXiv, 2023 | 7 | 2023 |
| A review of electromagnetic elimination methods for low-field portable mri scanner W Bian, P Li, M Zheng, C Wang, A Li, Y Li, H Ni, Z Zeng 2024 5th International Conference on Machine Learning and Computer …, 2024 | 6 | 2024 |
| A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning W Bian arXiv preprint arXiv:2406.02626, 2024 | 6 | 2024 |
| Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning W Bian, A Jang, F Liu Magnetic Resonance Imaging 116 (110278), 2024 | 5 | 2024 |
| A Review of Optimization-Based Deep Learning Models for MRI Reconstruction W Bian, YK Tamilselvam AppliedMath, 2024 | 3 | 2024 |
| An Optimal Control Approach for Inverse Problems with Deep Learnable Regularizers W Bian arXiv preprint arXiv:2409.00498, 2024 | 1 | 2024 |
| Accelerating Quantitative MRI using Self-supervised Deep Learning with Model Reinforcement W Bian, A Jang, F Liu ISMRM 2024, 2024 | | 2024 |
| qDiMo: Domain-conditioned Diffusion Modeling for Accelerated qMRI Reconstruction W Bian, A Jang, F Liu ISMRM 2024, 2024 | | 2024 |
Xiaojing YeProfessor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GAVahvistettu sähköpostiosoite verkkotunnuksessa gsu.edu