Zhi-Pei Liang
Professor
Studies magnetic resonance imaging and spectroscopy, including machine learning methods for image formation.
Zhi-Pei Liang's lab at UIUC works in AI for Science. 26 papers since 2023. 2 PhD students and 1 master's student. 52 alumni, most often to Siemens and Apple. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 0%
- PhD students
- 2
- MS students
- 1
- alumni listed
- 52
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 0
- 7 papers2024 · T1 0
- 6 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- imaging11 papers
- image4 papers
- learning methods0 papers
- computer engineering0 papers
- methods0 papers
Paper list
From the lab homepage.
20266 papers
- (link)Dual association patterns between microglial activation and neuronal health in Alzheimer’s disease: a whole-brain MRSI/PET study (opens in a new tab)
- (link)Iron overload mediates the differential cell fate of astrocytes from neurons and its regulatory mechanisms in ischemic stroke (opens in a new tab)
- (link)Motion Correction in High-Resolution 3D Brain MRSI Without Water and Lipid Suppression (opens in a new tab)
- (link)Multiplexed magnetic resonance imaging (opens in a new tab)
- (link)Phase correction of MR spectroscopic imaging data using model-based signal estimation and extrapolation (opens in a new tab)
- (link)Study protocol for the Champaign-Urbana population study (opens in a new tab)
20257 papers
- (link)Altered acute metabolic response to muscle stimulation in muscular dystrophic mice observed by phosphorus-31 magnetic resonance spectroscopy and fingerprinting (opens in a new tab)
- (link)Associations between Aβ deposition and neurometabolic alterations in Alzheimer's disease: Insights from hybrid 3D MRSI-PET imaging (opens in a new tab)
- (link)High-resolution brain metabolic imaging at ultrahigh field using extended spatiospectral encoding and subspace modeling (opens in a new tab)
- (link)Information-theoretic analysis of multimodal image translation (opens in a new tab)
- (link)Quantitative mapping of key glucose metabolic rates in the human brain using dynamic deuterium magnetic resonance spectroscopic imaging (opens in a new tab)
- (link)Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging (opens in a new tab)
- (link)Unsupervised Brain Lesion Segmentation Using Posterior Distributions Learned by Subspace-Based Generative Model (opens in a new tab)
20247 papers
- (link)Accelerated 3D metabolite T1 mapping of the brain using variable-flip-angle SPICE (opens in a new tab)
- (link)B1 mapping using pre‐learned subspaces for quantitative brain imaging (opens in a new tab)
- (link)Learning-assisted fast determination of regularization parameter in constrained image reconstruction (opens in a new tab)
- (link)Mapping intracellular NAD content in entire human brain using phosphorus-31 MR spectroscopic imaging at 7 Tesla (opens in a new tab)
- (link)Neurometabolic topography and associations with cognition in Alzheimer's disease: A whole-brain high-resolution 3D MRSI study (opens in a new tab)
- (link)Optimization of 3D dynamic speech MRI: Poisson-disc undersampling and locally higher-rank reconstruction through partial separability model with regional optimized temporal basis (opens in a new tab)
- (link)Simultaneous high-resolution whole-brain MR spectroscopy and [18F] FDG PET for temporal lobe epilepsy (opens in a new tab)
20236 papers
- (link)Enhancing linguistic research through 2-mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low-rank reconstruction (opens in a new tab)
- (link)JSENSE-Pro: Joint sensitivity estimation and image reconstruction in parallel imaging using pre-learned subspaces of coil sensitivity functions (opens in a new tab)
- (link)Predicting the onset of ischemic stroke with fast high-resolution 3D MR spectroscopic imaging (opens in a new tab)
- (link)Prediction of stroke onset time with combined fast high-resolution magnetic resonance spectroscopic and quantitative T2 mapping (opens in a new tab)
- (link)Simultaneous mapping of water diffusion coefficients and metabolite distributions of the brain using MR spectroscopic imaging without water suppression (opens in a new tab)
- (link)Subspace model-assisted deep learning for improved image reconstruction (opens in a new tab)
Where alumni went52 listed, 40% to industry
Industry 17Academia 26
Most often to
- Siemens
- Apple
Also to
- University of Iowa
- University of Virginia
- 38th Research Institute of China Electronics Technology Group Corporation
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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