Jie Feng

According to our database, Jie Feng authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation.

Xin Shen, Jie Feng, Zhenghao Li, Qing Zou, Yuyao Zhang, Hongjiang Wei

Medical Image Anal., 2026

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation.

Xuanyu Tian, Lixuan Chen, Qing Wu, Xiao Wang, Jie Feng, Yuyao Zhang, Hongjiang Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI.

Jie Feng, Rui Luo, Tian Zeng, Xin Shen, Haikun Qi, Yuyao Zhang, Dong Liang, Hongjiang Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction.

Jie Feng, Ruimin Feng, Qing Wu, Xin Shen, Lixuan Chen, Xin Li, Li Feng, Jingjia Chen, Zhiyong Zhang, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

IEEE Trans. Medical Imaging, May, 2025

IMJ-PLUS: Implicit Representation for Dynamic MRI and Coil Sensitivity Joint Reconstruction Using Low-Rank PLUS Sparse Regularization.

Xin Shen, Jie Feng, Ruimin Feng, Yuyao Zhang, Hongjiang Wei

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.

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

CoRR, 2023

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

2020

PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network.

Jiabo Ma, Jingya Yu, Sibo Liu, Li Chen, Xu Li, Jie Feng, Zhixing Chen, Shaoqun Zeng, Xiuli Liu, Shenghua Cheng

IEEE Trans. Medical Imaging, 2020