MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping. - Ruimin Feng; Jiayi Zhao; He Wang; Baofeng Yang; Jie Feng 013; Yuting Shi; Ming Zhang; Chunlei Liu 004; Yuyao Zhang; Jie Zhuang; Hongjiang Wei (CoRR, 2021)

MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping. - Ruimin Feng; Jiayi Zhao; He Wang; Baofeng Yang; Jie Feng 013; Yuting Shi; Ming Zhang; Chunlei Liu 004; Yuyao Zhang; Jie Zhuang; Hongjiang Wei (NeuroImage, 2021)

Towards in vivo 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)

Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo. - Yuting Shi; Steven Cao; Xu Li 003; Ruimin Feng; Jie Zhuang; Yuyao Zhang; Chunlei Liu 004; Hongjiang Wei (IEEE J. Biomed. Health Informatics, 2022)

A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation. - Ruimin Feng; Qing Wu 001; Yuyao Zhang; Hongjiang Wei (ISBI, 2023)

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction. - Jie Feng 013; Ruimin Feng; Qing Wu 001; Zhiyong Zhang; Yuyao Zhang; Hongjiang Wei (CoRR, 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)

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography. - Qing Wu 001; Ruimin Feng; Hongjiang Wei; Jingyi Yu; Yuyao Zhang (IEEE Trans. Computational Imaging, 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 013; Guoyan Lao; Ming Zhang; Jun Li 102; Yuyao Zhang; Hongjiang Wei (NeuroImage, 2023)

Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI. - Guoyan Lao; Ruimin Feng; Haikun Qi; Zhenfeng Lv; Qiangqiang Liu; Chunlei Liu 004; Yuyao Zhang; Hongjiang Wei (CoRR, 2024)

A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation. - Ming Zhang; Ruimin Feng; Zhenghao Li; Jie Feng 013; Qing Wu 001; Zhiyong Zhang; Chengxin Ma; Jinsong Wu; Fuhua Yan; Chunlei Liu 004; Yuyao Zhang; Hongjiang Wei (Medical Image Anal., 2024)

Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. - Mingxing Chen; Yiqing Wang; Yuting Shi; Jie Feng 013; Ruimin Feng; Xiaojun Guan; Xiaojun Xu; Yuyao Zhang; Cheng Jin 005; Hongjiang Wei (IEEE J. Biomed. Health Informatics, 2024)

IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI. - Ruimin Feng; Qing Wu 001; Jie Feng 013; Huajun She; Chunlei Liu 004; Yuyao Zhang; Hongjiang Wei (IEEE Trans. Medical Imaging, 2024)

IMJ-PLUS: Implicit Representation for Dynamic MRI and Coil Sensitivity Joint Reconstruction Using Low-Rank PLUS Sparse Regularization. - Xin Shen; Jie Feng 013; Ruimin Feng; Yuyao Zhang; Hongjiang Wei (ISBI, 2025)

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; Hongen Liao; Hongjiang Wei (Medical Image Anal., 2025)

Coordinate-based neural representation enabling zero-shot learning for fast 3D multiparametric quantitative MRI. - Guoyan Lao; Ruimin Feng; Haikun Qi; Zhenfeng Lv; Qiangqiang Liu; Chunlei Liu 004; Yuyao Zhang; Hongjiang Wei (Medical Image Anal., 2025)

Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction. - Jie Feng 013; Ruimin Feng; Qing Wu 001; Xin Shen; Lixuan Chen; Xin Li; Li Feng; Jingjia Chen; Zhiyong Zhang; Chunlei Liu 004; Yuyao Zhang; Hongjiang Wei (IEEE Trans. Medical Imaging, 2025)