| 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, 2018 | 18 | 2018 |
| 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 | 14 | 2022 |
| Deep parallel MRI reconstruction network without coil sensitivities W Bian, Y Chen, X Ye Machine Learning for Medical Image Reconstruction: Third International …, 2020 | 10 | 2020 |
| 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 | 6 | 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 | 6 | 2022 |
| Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis W Bian Departmenet of Math University of Florida (DOI: 10.5281/zenodo.6863816), 2022 | 4 | 2022 |
| Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction W Bian, A Jang, F Liu arXiv preprint arXiv:2309.00783, 2023 | 3 | 2023 |
| Magnetic Resonance Parameter Mapping using Self-supervised Deep Learning with Model Reinforcement W Bian, A Jang, F Liu ArXiv, 2023 | 3 | 2023 |
| A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning W Bian arXiv preprint arXiv:2406.02626, 2024 | 2 | 2024 |
| Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning W Bian, A Jang, F Liu arXiv preprint arXiv:2403.19966, 2024 | 2 | 2024 |
| A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner W Bian arXiv preprint arXiv:2406.17804, 2024 | 1 | 2024 |
| A Review of Optimization-Based Deep Learning Models for MRI Reconstruction W Bian, YK Tamilselvam Preprints, 2024 | | 2024 |
Xiaojing YeAssociate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GA在 gsu.edu 的电子邮件经过验证
Xiaojing YeAssociate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GA在 gsu.edu 的电子邮件经过验证
Qingchao ZhangUniversity of Florida在 ufl.edu 的电子邮件经过验证