Instructor. Yilong Liu
liuyilong@jnu.edu.cn
Yilong Liu has dedicated his research career to advancing MR imaging techniques in the past eight years. Specifically, he has focused on ultra-low-field MR for accessible healthcare, combined hardware design, pulse sequence developments, image reconstruction, and artifacts removal to provide a low-cost and shielding-free solution of brain MR imaging. He has pioneered multi-slice and multi-contrast calibrationless parallel imaging using low rank tensor completion. He has also proposed novel and robust parallel imaging reconstruction approaches for simultaneous multi-slice and in-plane accelerated echo-planar imaging. Most of these contributions were published in Nature Communications, Magnetic Resonance in Medicine or presented in ISMRM annual meetings.
Bachelor of Engineering, Huazhong University of Science and Technology, 2010
Master of Engineering, Tsinghua University, 2013
PhD, the University of Hong Kong, 2018
Postdoc Fellow, the University of Hong Kong, 2018-2021
1. Y. Liu, A. T. L. Leong, Y. Zhao, L. Xiao, H. K. F Mak, A. C. O. Tsang, Gary K. K. Lau, G. Leung, and E. X. Wu, A Low-cost and Shielding-free Ultra-low-field Brain MRI Scanner, Nature Communications, vol. 12, pp. 7238, 2021. (Selected as Editors’ Highlights)
2. L. Xiao†, Y. Liu† (co-first author), Z. Yi, Y. Zhao, L. Xie, P. Cao, A. T. L. Leong, and E. X. Wu, Partial Fourier Reconstruction of Complex MR Images Using Complex-valued Convolutional Neural Networks, Magnetic Resonance in Medicine, vol. 87, pp. 999-1014, 2022.
3. Y. Zhang, P. Zhong, D. Jie, J. Wu, S. Zeng, J. Chu, Y. Liu, E. X. Wu, and X. Tang, Brain Tumor Segmentation From Multi-Modal MR Images via Ensembling UNets, Frontiers in Radiology, vol. 1, pp. 704888, 2021.
4. Y. Liu, Z. Yi, Y. Zhao, F. Chen, Y. Feng, H. Guo, A. T. L. Leong, and E. X. Wu, Calibrationless Parallel Imaging Reconstruction for Multislice MR Data using Low-Rank Tensor Completion, Magnetic Resonance in Medicine, vol. 85, pp. 897-911, 2021. (Selected as Editor’s Picks)
5. Z. Yi†, Y. Liu† (co-first author), Y. Zhao, L. Xiao, A. T. L. Leong, Y. Feng, F. Chen, and E. X. Wu, Joint Calibrationless Reconstruction of Highly Undersampled Multi-Contrast MR Datasets using Low-Rank Hankel Tensor Completion Framework, Magnetic Resonance in Medicine, vol. 85, pp. 3256-3271, 2021.
6. Y. Zhang, J. Wu, Y. Liu, Y. Chen, E. Wu, and X. Tang, MI-UNet: Multi-inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-weighted Magnetic Resonance Images, IEEE Journal of Biomedical and Health Informatics, vol. 25, pp. 526-535, 2021.
7. Y. Zhang, J. Wu, Y. Liu, Y. Chen, W. Chen, E. X. Wu, C. Li, and X. Tang, A Deep Learning Framework for Pancreas Segmentation with Multi-atlas Registration and 3D Level-set, Medical Image Analysis, vol. 68, pp. 101884, 2021.
8. Y. Zhang, B. Jiang, J. Wu, D. Ji, Y. Liu, Y. Chen, E. X. Wu, and X. Tang, Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor from CT Images, IEEE Access, vol. 8, pp. 76056-76068, 2020.
9. Q. Zhang, G. Ruan, W. Yang, Y. Liu, K. Zhao, Q. Feng, W. Chen, E. X. Wu, and Y. Feng, MRI Gibbs-ringing Artifact Reduction by Means of Machine Learning using Convolutional Neural Networks, Magnetic Resonance in Medicine, vol. 82, pp. 2133-2145, 2019.
10. X. Wang, A. T. L. Leong, R. W. Chan, Y. Liu, and E. X. Wu, Thalamic Low Frequency Activity Facilitates Resting-state Cortical Interhemispheric MRI Functional Connectivity, NeuroImage, vol. 201, p. 115985, 2019.
11. Y. Liu, M. Lyu, M. Barth, Z. Yi, A. T. Leong, F. Chen, Y. Feng, and E. X. Wu, PEC-GRAPPA Reconstruction of Simultaneous Multislice EPI with Slice-dependent 2D Nyquist Ghost Correction, Magnetic Resonance in Medicine, vol. 81, pp. 1924-1934, 2019.
12. A. T. Leong, Y. Gu, Y.-S. Chan, H. Zheng, C. M. Dong, R. W. Chan, X. Wang, Y. Liu, L. H. Tan, and E. X. Wu, Optogenetic fMRI Interrogation of Brain-wide Central Vestibular Pathways, Proceedings of the National Academy of Sciences, vol. 116, pp. 10122-10129, 2019.
13. V. B. Xie, M. Lyu, Y. Liu, Y. Feng, and E. X. Wu, Robust EPI Nyquist Ghost Removal by Incorporating Phase Error Correction with Sensitivity Encoding (PEC-SENSE), Magnetic Resonance in Medicine, vol. 79, pp. 943-951, 2018.
14. M. Lyu, M. Barth, V. B. Xie, Y. Liu, X. Ma, Y. Feng, and E. X. Wu, Robust SENSE Reconstruction of Simultaneous Multislice EPI with Low-rank Enhanced Coil Sensitivity Calibration and Slice-dependent 2D Nyquist Ghost Correction, Magnetic Resonance in Medicine, vol. 80, pp. 1376-1390, 2018.
15. M. Lyu, Y. Liu, V. B. Xie, Y. Feng, H. Guo, and E. X. Wu, A New Joint-Blade SENSE Reconstruction for Accelerated PROPELLER MRI, Scientific Reports, vol. 7, p. 42602, 2017.
16. Y. Liu, M. Wang, J. Bai, and H. Zhang, System Response Matrix Calculation using Symmetries for Dual-head PET Scanners, International Journal of Imaging Systems and Technology, vol. 23, pp. 205-214, 2013.
