Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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, and H. Wei. NeuroImage, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Yühe Feng

Other publications of authors with the same name

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, J. Zhuang and 1 other author(s). NeuroImage, (2021)Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography.Q. Wu, R. Feng, H. Wei, J. Yu, and Y. Zhang. CoRR, (2022)A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation.R. Feng, Q. Wu, Y. Zhang, and H. Wei. ISBI, page 1-5. IEEE, (2023)Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.J. Feng, R. Feng, Q. Wu, Z. Zhang, Y. Zhang, and H. Wei. CoRR, (2023)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, and H. Wei. CoRR, (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, and H. Wei. IEEE J. Biomed. Health Informatics, 26 (9): 4508-4518 (2022)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, and H. Wei. CoRR, (2023)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, and H. Wei. NeuroImage, (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 and 2 other author(s). Medical Image Anal., (2024)

BibSonomy

Disambiguation of "Feng, Ruimin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Yühe Feng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Feng, Ruimin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards in vivo ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.

Please choose a person to relate this publication to

Ruimin Huang

Ruimin Shen

Ruimin Wang

Ruimin Shen

Yühe Feng

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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