Ziyu Li
Postdoctoral Researcher
I am a postdoctoral researcher in the FMRIB Physics Group, working with Profs Karla Miller & Wenchuan Wu. I completed my DPhil in the same group in December 2024, supported by the Departmental Funding of Nuffield Department of Clinical Neurosciences. My research focuses on developing advanced diffusion MRI techniques to map the connectivity and microstructure of the living human brain with unprecedented detail. Recently, we achieved whole-brain in-vivo diffusion MRI at 0.53 mm isotropic resolution—one of the highest reported to date—using a segmented 3D multi-slab framework that delivers high image quality with minimal blurring.
Another line of my research develops deep learning methods to improve MRI, including denoising, image reconstruction, contrast transfer, super-resolution, and diffusion modeling.
Before joining FMRIB, I obtained my Bachelor of Engineering and Bachelor of Management degrees from Tsinghua University in 2021. During my undergraduate studies, I also worked as a research intern at Martinos Center for Biomedical Imaging at Massachusetts General Hospital, Harvard Medical School from 2020 to 2021 (remotely due to the pandemic), with Profs. Qiyuan Tian & Susie Huang on developing deep learning methods for MRI analysis.
Key publications
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Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction estimated navigator
Journal article
Li Z. et al, (2024), IEEE Transactions on Medical Imaging, 1 - 1
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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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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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High‐fidelity fast volumetric brain MRI using synergistic wave‐controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN)
Journal article
Li Z. et al, (2022), Medical Physics, 49, 1000 - 1014
Recent publications
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Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning.
Journal article
Tian Q. et al, (2025), Neuroimage
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Submillimeter diffusion MRI using an in-plane segmented 3D multi-slab acquisition and denoiser-regularized reconstruction
Preprint
Li Z. et al, (2024)
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Improved visualization of intracranial distal arteries with multiple 2D slice dynamic ASL-MRA and super-resolution convolutional neural network.
Journal article
Suzuki Y. et al, (2024), Magn Reson Med
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Artificial intelligence for neuro MRI acquisition: a review.
Journal article
Yang H. et al, (2024), MAGMA
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DIMOND: DIffusion Model OptimizatioN with Deep Learning
Journal article
Li Z. et al, (2024), Advanced Science