刘懿龙
讲师
liuyilong@jnu.edu.cn
研究助理
刘懿龙，2021年加入暨南大学，华中科技大学学士（2010），清华大学硕士（2013），香港大学博士（2018），香港大学博士后（2018-2021）。长期致力于先进磁共振成像技术的开发，其研究范围包括基于超低场磁共振成像技术，实现低成本、无电磁屏蔽的高质量脑磁共振成像；基于低秩矩阵完备化的多层、多对比度并行成像；可用于脑功能磁共振成像、扩散磁共振成像的平面回波并行成像等。已在Nature Communications，Magnetic Resonance in Medicine，Proceedings of the National Academy of Sciences，NeuroImage，Medical Image Analysis等期刊上发表论文16篇，在ISMRM，EMBC，ISBI等国际会议上发表会议论文或摘要46篇，申请专利16项（其中中国发明专利10项，中国实用新型专利2项，PCT专利4项）。
†Equal contribution (indicated for Y. Liu only)
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)
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.
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.
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)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
