Ruimin Feng

Orcid: 0000-0002-4428-2316

According to our database1, Ruimin Feng authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI.
IEEE Trans. Medical Imaging, April, 2024

Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer.
IEEE J. Biomed. Health Informatics, February, 2024

A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation.
Medical Image Anal., 2024

2023
APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method.
NeuroImage, July, 2023

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography.
IEEE Trans. Computational Imaging, 2023

JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model.
CoRR, 2023

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.
CoRR, 2023

A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo.
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.
NeuroImage, 2022

2021
MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.
NeuroImage, 2021

MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping.
CoRR, 2021


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