Contact information
+44 (0) 18656 11294
Research groups
Colleges
Wenchuan Wu
DPhil
Royal Academy of Engineering Research Fellow
- 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.
Key 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
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
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Highly accelerated intracranial time-of-flight magnetic resonance angiography using wave-encoding.
Journal article
Ji Y. et al, (2023), Magn Reson Med
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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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A machine learning approach to diffusion mri partial volume estimation
Conference paper
Vallee E. et al, (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11037 LNCS, 42 - 51