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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 H. Wei. NeuroImage, (2021)

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Hongjiang Su

Hongjiang Lu

Hongjiang Cui

Other publications of authors with the same name

Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction.H. Wei, S. Cao, Y. Zhang, X. Guan, F. Yan, K. Yeom, and C. Liu. CoRR, (2019)In vivo diffusion tensor imaging (DTI) for the human heart under free-breathing conditions. (Tenseur de diffusion d'imagerie (DTI) in vivo pour le cœur de l'homme dans des conditions de libre respiration).H. Wei. Institut national des sciences appliquées de Lyon, Lyon - Villeurbanne, France, (2013)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)Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.J. Feng, R. Feng, Q. Wu, Z. Zhang, Y. Zhang, and H. Wei. CoRR, (2023)Altered brain iron depositions from aging to Parkinson's disease and Alzheimer's disease: A quantitative susceptibility mapping study.X. Guan, T. Guo, C. Zhou, J. Wu, Q. Zeng, K. Li, X. Luo, X. Bai, H. Wu, T. Gao and 14 other author(s). NeuroImage, (2022)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)Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility.X. Li, L. Chen, K. Kutten, C. Ceritoglu, Y. Li, N. Kang, J. Hsu, Y. Qiao, H. Wei, C. Liu and 5 other author(s). NeuroImage, (2019)Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field.Q. Wu, X. Li, H. Wei, J. Yu, and Y. Zhang. ISBI, page 1-5. IEEE, (2023)DeepQSMSeg: A Deep Learning-based Sub-cortical Nucleus Segmentation Tool for Quantitative Susceptibility Mapping.Y. Guan, X. Guan, J. Xu, H. Wei, X. Xu, and Y. Zhang. EMBC, page 3676-3679. IEEE, (2021)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)

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Disambiguation of "Wei, Hongjiang"

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

Please choose a person to relate this publication to

Hongjiang Su

Hongjiang Lu

Hongjiang Cui

Hongjiang Cui

Hongjiang Cui

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wei, Hongjiang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.

Please choose a person to relate this publication to

Hongjiang Su

Hongjiang Lu

Hongjiang Cui

Hongjiang Cui

Hongjiang Cui

Other publications of authors with the same name

Disambiguation

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