| MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping R Feng, J Zhao, H Wang, B Yang, J Feng, Y Shi, M Zhang, C Liu, Y Zhang, ... NeuroImage 240, 118376, 2021 | 43 | 2021 |
| Self-supervised coordinate projection network for sparse-view computed tomography Q Wu, R Feng, H Wei, J Yu, Y Zhang IEEE Transactions on Computational Imaging 9, 517-529, 2023 | 37 | 2023 |
| APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method Z Li, R Feng, Q Liu, J Feng, G Lao, M Zhang, J Li, Y Zhang, H Wei Neuroimage 274, 120148, 2023 | 33 | 2023 |
| IMJENSE: scan-specific implicit representation for joint coil sensitivity and image estimation in parallel MRI R Feng, Q Wu, J Feng, H She, C Liu, Y Zhang, H Wei IEEE Transactions on Medical Imaging, 2023 | 17 | 2023 |
| Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction J Feng, R Feng, Q Wu, X Shen, L Chen, X Li, L Feng, J Chen, Z Zhang, ... IEEE Transactions on Medical Imaging, 2025 | 14 | 2025 |
| Towards in vivo ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset Y Shi, R Feng, Z Li, J Zhuang, Y Zhang, H Wei Neuroimage 261, 119522, 2022 | 11 | 2022 |
| Change in susceptibility values in knee cartilage after marathon running measured using quantitative susceptibility mapping M Zhang, Y Li, R Feng, Z Wang, W Wang, N Zheng, S Wang, F Yan, Y Lu, ... Journal of Magnetic Resonance Imaging 54 (5), 1585-1593, 2021 | 8 | 2021 |
| A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation R Feng, Q Wu, Y Zhang, H Wei 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 7 | 2023 |
| Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer M Chen, Y Wang, Y Shi, J Feng, R Feng, X Guan, X Xu, Y Zhang, C Jin, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 5 | 2023 |
| Iron accumulation and axonal damage of cerebellum in idiopathic cervical dystonia H Li, M Zhang, Y Wu, Y Li, R Feng, X Shen, Y Wang, X Sun, W Xue, ... European Journal of Neurology 30 (6), 1619-1630, 2023 | 4 | 2023 |
| An improved asymmetric susceptibility tensor imaging model with frequency offset correction R Feng, S Cao, J Zhuang, J Zhao, X Guan, Y Zhang, C Liu, H Wei Magnetic Resonance in Medicine 89 (2), 828-844, 2023 | 3 | 2023 |
| Regularized asymmetric susceptibility tensor imaging in the human brain in vivo Y Shi, S Cao, X Li, R Feng, J Zhuang, Y Zhang, C Liu, H Wei IEEE Journal of Biomedical and Health Informatics 26 (9), 4508-4518, 2022 | 2 | 2022 |
| A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation M Zhang, R Feng, Z Li, J Feng, Q Wu, Z Zhang, C Ma, J Wu, F Yan, C Liu, ... Medical Image Analysis 95, 103173, 2024 | 1 | 2024 |
| JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model L Chen, X Tian, J Wu, R Feng, G Lao, Y Zhang, H Wei arXiv preprint arXiv:2310.09625, 2023 | 1 | 2023 |
| MoG-QSM: A Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping R Feng, Y Shi, J Feng, Y Zhang, H Wei CoRR, 2021 | 1 | 2021 |
| Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI G Lao, R Feng, H Qi, Z Lv, Q Liu, C Liu, Y Zhang, H Wei arXiv preprint arXiv:2410.01577, 2024 | | 2024 |
| Imaging the myelin in brain deep gray matters during brain development using sub-voxel QSM Z Li, R Feng, H Wei Proceedings of the 31st Annual ISMRM Meeting, 2023 | | 2023 |
| Multi-contrast quantitative mapping with an unsupervised reconstruction method based on implicit neural representation G Lao, R Feng, H Wei | | |
| An improved sub-voxel QSM for susceptibility source separation Z Li, R Feng, H Wei | | |
| Low-rank regularized implicit neural representation for k-space completion in fast MRI reconstruction G Lao, R Feng, Y Zhang, H Wei | | |
