Ruimin Feng

According to our database, Ruimin Feng authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI.

Ruimin Feng, Qing Wu, Jie Feng, Huajun She, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

IEEE Trans. Medical Imaging, April, 2024

Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer.

Mingxing Chen, Yiqing Wang, Yuting Shi, Jie Feng, Ruimin Feng, Xiaojun Guan, Xiaojun Xu, Yuyao Zhang, Cheng Jin, Hongjiang Wei

IEEE J. Biomed. Health Informatics, February, 2024

A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation.

Ming Zhang, Ruimin Feng, Zhenghao Li, Jie Feng, Qing Wu, Zhiyong Zhang, Chengxin Ma, Jinsong Wu, Fuhua Yan, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

Medical Image Anal., 2024

2023

APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method.

Zhenghao Li, Ruimin Feng, Qiangqiang Liu, Jie Feng, Guoyan Lao, Ming Zhang, Jun Li, Yuyao Zhang, Hongjiang Wei

NeuroImage, July, 2023

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography.

Qing Wu, Ruimin Feng, Hongjiang Wei, Jingyi Yu, Yuyao Zhang

IEEE Trans. Computational Imaging, 2023

JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model.

Lixuan Chen, Xuanyu Tian, Jiangjie Wu, Ruimin Feng, Guoyan Lao, Yuyao Zhang, Hongjiang Wei

CoRR, 2023

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.

Jie Feng, Ruimin Feng, Qing Wu, Zhiyong Zhang, Yuyao Zhang, Hongjiang Wei

CoRR, 2023

A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation.

Ruimin Feng, Qing Wu, Yuyao Zhang, Hongjiang Wei

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo.

Yuting Shi, Steven Cao, Xu Li, Ruimin Feng, Jie Zhuang, Yuyao Zhang, Chunlei Liu, Hongjiang Wei

IEEE J. Biomed. Health Informatics, 2022

Towards <i>in vivo</i> ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.

Yuting Shi, Ruimin Feng, Zhenghao Li, Jie Zhuang, Yuyao Zhang, Hongjiang Wei

NeuroImage, 2022

2021

MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.

Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei

NeuroImage, 2021

MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping.

Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei

CoRR, 2021