Xiaodong Ma
Affiliations: | 2012-2017 | Center for Biomedical Imaging Research | Tsinghua University |
| 2019- | Center for Magnetic Resonance Research | University of Minnesota, Twin Cities, Minneapolis, MN | |
| 2019-2019 | The University of Hong Kong, Hong Kong Island, Hong Kong, Hong Kong |
Area:
dMRI, RF parallel transmission, fMRIGoogle:
"Xiaodong Ma"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Kamil (Kâmil Uğurbil) Ugurbil | post-doc | 2019- | |
| Xiaoping Wu | post-doc | 2019- |
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Publications
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| Ye X, Ma X, Pan Z, et al. (2024) Denoising complex-valued diffusion MR images using a two-step non-local principal component analysis approach. Biorxiv : the Preprint Server For Biology |
| Shao X, Zhang Z, Ma X, et al. (2024) Parallel-transmission spatial spectral pulse design with local specific absorption rate control: Demonstration for robust uniform water-selective excitation in the human brain at 7 T. Magnetic Resonance in Medicine |
| Pan Z, Ma X, Dai E, et al. (2023) Reconstruction for 7T high-resolution whole-brain diffusion MRI using two-stage N/2 ghost correction and L1-SPIRiT without single-band reference. Magnetic Resonance in Medicine |
| Zhu W, Ma X, Zhu XH, et al. (2022) Denoise Functional Magnetic Resonance Imaging with Random Matrix Theory Based Principal Component Analysis. Ieee Transactions On Bio-Medical Engineering |
| Ma X, Uğurbil K, Wu X. (2022) Mitigating transmit-B artifacts by predicting parallel transmission images with deep learning: A feasibility study using high-resolution whole-brain diffusion at 7 Tesla. Magnetic Resonance in Medicine |
| Ma X, Uğurbil K, Wu X. (2020) Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation. Neuroimage. 116852 |