Contact information
+44 (0) 18656 11294
Research groups
Colleges
Wenchuan Wu
DPhil
- Royal Academy of Engineering Research Fellow
- Junior Fellow, Wolfson College
I develop novel methods for acquiring and reconstructing high-resolution, high-SNR MRI data from human brain. My current interest is to develop new techniques to map brain connectivity and microstructure using diffusion MRI. I'm also actively working on general fast imaging approaches, numerical optimisation and machine learning methods.
Research group and collaborators
Key publications
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Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high‐resolution 3D diffusion MRI
Journal article
Li Z. et al, (2023), Magnetic Resonance in Medicine
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A temperature-controlled cooling system for accurate quantitative post-mortem MRI.
Journal article
Rieger SW. et al, (2023), Magn Reson Med
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The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain
Preprint
Wu W. et al, (2021)
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Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER)
Journal article
Wu W. et al, (2019), Magnetic Resonance in Medicine, 82, 107 - 125
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High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition
Journal article
Wu W. et al, (2016), NeuroImage, 143, 1 - 14
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Reducing slab boundary artifacts in three-dimensional multislab diffusion MRI using nonlinear inversion for slab profile encoding (NPEN)
Journal article
Wu W. et al, (2016), Magnetic Resonance in Medicine, 76, 1183 - 1195
Recent publications
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A temperature-controlled cooling system for accurate quantitative post-mortem MRI.
Journal article
Rieger SW. et al, (2023), Magn Reson Med
-
Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high‐resolution 3D diffusion MRI
Journal article
Li Z. et al, (2023), Magnetic Resonance in Medicine
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Highly accelerated intracranial time-of-flight magnetic resonance angiography using wave-encoding
Journal article
JEZZARD P. et al, (2023), Magnetic Resonance in Medicine
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Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T.
Journal article
Chen X. et al, (2023), Neuroimage, 267
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Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
Journal article
Li Z. et al, (2023), Medical Image Analysis, 102744 - 102744
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The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain
Preprint
Wu W. et al, (2021)