Xiaoping Wu, Ph.D.

Affiliations: 
Biomedical Engineering University of Minnesota, Twin Cities, Minneapolis, MN 
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"Xiaoping Wu"
Mean distance: 16.42 (cluster 51)
 
SNBCP

Parents

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Kamil (Kâmil Uğurbil) Ugurbil grad student 2010 UMN
 (Parallel transmission for magnetic resonance imaging on a 9.4 Tesla human system.)
Pierre-Francois Van de Moortele grad student 2010 UMN (BME Tree)
 (Co-advisor)

Children

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Xiaodong Ma 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
Lagore RL, Sadeghi-Tarakameh A, Grant A, et al. (2024) A 128-channel receive array with enhanced SNR performance for 10.5 tesla brain imaging. 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
Waks M, Lagore RL, Auerbach E, et al. (2024) RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5T. Magnetic Resonance in Medicine
Waks M, Lagore RL, Auerbach E, et al. (2024) RF coil design strategies for improving SNR at the ultrahigh magnetic field of 10.5 Tesla. Biorxiv : the Preprint Server For Biology
Boulant N, Le Ster C, Amadon A, et al. (2024) The possible influence of third-order shim coils on gradient-magnet interactions: an inter-field and inter-site study. Magma (New York, N.Y.)
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
Sadeghi-Tarakameh A, Jungst S, Lanagan M, et al. (2021) A nine-channel transmit/receive array for spine imaging at 10.5 T: Introduction to a nonuniform dielectric substrate antenna. Magnetic Resonance in Medicine
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