1. Y. Zhao, Y. Li, W. Jin, R. Guo, C. Ma, W. Tang, Y. Li, G. El Fakhri, Z.-P. Liang, Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic imaging of the brain. Nat. Biomed. Eng., In Press, 2025.
2. Ziwen Ke, Yue Guan, Tianyao Wang, Huixiang Zhuang, Zijun Cheng, Yunpeng Zhang, Jing-Ya Ren, Li Cao, Su-Zhen Dong, and Yao Li*, Fast and Stable Neonatal Brain MR Imaging Using Integrated Learned Subspace Model and Deep Learning, IEEE Transactions on Biomedical Engineering, In Press, 2025.
3. Hu J, Zhang M, Zhang Y, Zhuang H, Zhao Y, Li Y, Jin W, Qian XH, Wang L, Ye G, Tang H, Liu J, Li B, Nachev P, Liang ZP, Li Y*. Neurometabolic topography and associations with cognition in Alzheimer's disease: A whole-brain high-resolution 3D MRSI study. Alzheimers Dement. 2024 Sep;20(9):6407-6422.
4. Wang D, Fan Q, Xiao X, He H, Yang Y, Li Y*. Structural Fingerprinting of the Frontal Aslant Tract: Predicting Cognitive Control Capacity and Obsessive-Compulsive Symptoms. Journal of Neuroscience. 2023 Oct 18;43(42):7016-7027. (2023 Top 10 JNeurosci Spotlight)
5. Ziyu Meng, Rong Guo, Tianyao Wang, Bin Bo, Zengping Lin, Yudu Li, Yibo Zhao, Xin Yu, David J Lin, Parashkev Nachev, Zhi-Pei Liang, Yao Li*, Prediction of Stroke Onset Time with Combined Fast High-Resolution Magnetic Resonance Spectroscopic and Quantitative T2 Mapping, IEEE Transactions on Biomedical Engineering, 2023 Nov;70(11):3147-3155.
6. Tianxiao Zhang, Yibo Zhao, Wen Jin, Yudu Li, Rong Guo, Ziwen Ke, Jie Luo, Yao Li* and Zhi-Pei Liang, B1 mapping using pre-learned subspaces for quantitative brain imaging, Magnetic Resonance in Medicine, 2023 Nov; 90(5):2089-2101.
7. Lin Z, Meng Z, Wang T, Guo R, Zhao Y, Li Y, Bo B, Guan Y, Liu J, Zhou H, Yu X, Lin D, Liang ZP, Nachev P, and Li Y*, Predicting the Onset of Ischemic Stroke With Fast High-Resolution 3D MR Spectroscopic Imaging, Journal of Magnetic Resonance Imaging, 2023 Sep, 58(3):838-847. (Cover Feature Article) (ISMRM W. S. Moore Award)
8. Zhang T, Guo R, Li Y, Zhao Y, Li Y*, Liang Z, T2’ mapping of the brain from water-unsuppressed 1H-MRSI and turbo spin-echo data, Magnetic Resonance in Medicine, 88(5): 2198-2207, 2022.
9. Zhang M, Guan Z, Zhang Y, Sun W, Li W, Hu J, Li B, Ye G, Meng H, Huang X, Lin X, Wang J, Liu J, Li B, Li Y*, Disrupted coupling between salience network segregation and glucose metabolism is associated with cognitive decline in Alzheimer's disease - A simultaneous resting-state FDG-PET/fMRI study, NeuroImage: Clinical, 34: 102977, 2022.
10. Li W, Xu J, Xiang Q, Zhuo K, Zhang Y, Liu D, Li Y*, Neurometabolic and functional changes of default-mode network relate to clinical recovery in first-episode psychosis patients: A longitudinal 1H-MRS and fMRI study, NeuroImage: Clinical, 34: 102970, 2022.
11. Ye Q, Zhang Z, Sun W, Fan Q, and Li Y*, Disrupted functional connectivity of precuneus subregions in obsessive-compulsive disorder. NeuroImage: Clinical 31: 102720, 2021.
12. Li Y*, Wang T, Zhang T, Lin Z, Li Y, Guo R, Zhao Y, Meng Z, Liu J, Yu X, Liang Z-P and Nachev P, Fast high-resolution metabolic imaging of acute stroke with 3D magnetic resonance spectroscopy, Brain (Cover Feature Article), 143(11): 3225–3233, 2020/11.
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