
Overview
Availability
- Professor Feng Liu is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor of Engineering, Shandong University (山东大学)
- Masters (Coursework) of Science, Shandong University (山东大学)
- Doctor of Philosophy, Zhejiang University
Research interests
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Research interests
My research lies in medical imaging, with the focus on magnetic resonance imaging (MRI) hardware design and electromagnetic analysis + cardiac electrical function imaging. My current research program includes: (1) Magnetic Resonance Engineering (Electromagnetic Analysis and Design); (2) Magnetic Resonance Imaging (MRI Image reconstruction, including parallel imaging, compressed sensing, etc.); (3) Bioelectromagnetism (AI-based ECG; TMS designs); (4) Computational Electromagnetics (in particular, Finite-difference Time-domain (FDTD)); (5) Engineering Optimization; (6) High-performance Parallel Computing (in particular, GPU computing). (7) Machine learning/deep learning based medical imaging. I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students currently onshore.
Works
Search Professor Feng Liu’s works on UQ eSpace
2024
Conference Publication
Image reconstruction for an 8-element loop-dipole rotating RF coil array (RRFCA) using a novel calibration-free GRAPPA-based method
West, Lachlan, Phair, Andrew, Li, Mingyan, Brideson, Michael, Bassom, Andrew and Liu, Feng (2024). Image reconstruction for an 8-element loop-dipole rotating RF coil array (RRFCA) using a novel calibration-free GRAPPA-based method. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/0041
2024
Journal Article
DMRNet based tuberculosis screening with cough sound
Xu, Wenlong, Yuan, Haixin, Lou, Xiaomin, Chen, Yuanyuan and Liu, Feng (2024). DMRNet based tuberculosis screening with cough sound. IEEE Access, 12, 3960-3968. doi: 10.1109/ACCESS.2023.3347410
2024
Journal Article
AliasNet: Alias artefact suppression network for accelerated phase-encode MRI
Bran Lorenzana, Marlon, Chandra, Shekhar S. and Liu, Feng (2024). AliasNet: Alias artefact suppression network for accelerated phase-encode MRI. Magnetic Resonance Imaging, 105, 17-28. doi: 10.1016/j.mri.2023.10.001
2024
Journal Article
Time-domain sparsity-based bearing fault diagnosis methods using pulse signal-to-noise ratio
Zhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng (2024). Time-domain sparsity-based bearing fault diagnosis methods using pulse signal-to-noise ratio. IEEE Transactions on Instrumentation and Measurement, 73 (99) 3516804, 1-4. doi: 10.1109/tim.2024.3375978
2024
Journal Article
NesTD-Net: deep NESTA-inspired unfolding network with dual-path deblocking structure for image compressive sensing
Gan, Hongping, Guo, Zhen and Liu, Feng (2024). NesTD-Net: deep NESTA-inspired unfolding network with dual-path deblocking structure for image compressive sensing. IEEE Transactions on Image Processing, 33, 1923-1937. doi: 10.1109/tip.2024.3371351
2024
Journal Article
Moisture-insensitive, phase-stable indium-based metal halides and their light-emitting applications
Tang, Zhe, Meng, Xuan, Zhao, Hongyuan, Ji, Sujun, Wang, Qiujie, Bai, Tianxin, Zhang, Ruiling, Jiang, Junke, Katan, Claudine, Even, Jacky and Liu, Feng (2024). Moisture-insensitive, phase-stable indium-based metal halides and their light-emitting applications. Advanced Optical Materials, 12 (1), 1-9. doi: 10.1002/adom.202301282
2024
Journal Article
Superconducting shim coils design for the 9.4 tesla whole-body MRI magnet
Qu, Hongyi, Wang, Wenchen, Wu, Huafang, Wang, Cong, Wang, Yaohui, Wang, Qiuliang and Liu, Feng (2024). Superconducting shim coils design for the 9.4 tesla whole-body MRI magnet. IEEE Transactions on Applied Superconductivity, 34 (2) 4901010. doi: 10.1109/tasc.2024.3350649
2023
Journal Article
Augmented deep multi-granularity pose-aware feature fusion network for visible-infrared person re-identification
Shi, Zheng, Song, Wanru, Shan, Junhao and Liu, Feng (2023). Augmented deep multi-granularity pose-aware feature fusion network for visible-infrared person re-identification. Computers Materials and Continua, 77 (3), 3467-3488. doi: 10.32604/cmc.2023.045849
2023
Journal Article
Design, fabrication and measurement of a 3T cryogen-free animal MRI superconducting magnet
Wang, Yaohui, Liu, Hui, Chen, Shunzhong, Wang, Weimin, Liu, Feng and Wang, Qiuliang (2023). Design, fabrication and measurement of a 3T cryogen-free animal MRI superconducting magnet. IEEE Transactions on Applied Superconductivity, 34 (5) 4401404, 1-5. doi: 10.1109/tasc.2023.3346843
2023
Journal Article
Passive shimming for the 9.4 T whole-body MRI superconducting magnet
Wang, Wenchen, Qu, Hongyi, Wang, Yaohui, Wang, Hui, Cheng, Junsheng, Wang, Cong, Wu, Huafang and Liu, Feng (2023). Passive shimming for the 9.4 T whole-body MRI superconducting magnet. Review of Scientific Instruments, 94 (12) 123703, 1-14. doi: 10.1063/5.0167006
2023
Journal Article
A noval pulmonary function evaluation method based on ResNet50 + SVR model and cough
Xu, Wenlong, He, Guoqiang, Shen, Dan, Xu, Bingqiao, Jiang, Peirong, Liu, Feng, Lou, Xiaomin, Guo, Lingling and Ma, Li (2023). A noval pulmonary function evaluation method based on ResNet50 + SVR model and cough. Scientific Reports, 13 (1) 22065, 1-11. doi: 10.1038/s41598-023-49334-4
2023
Conference Publication
An improved anchor-free nodule detection system using feature pyramid network
Song, Wenjia, Tang, Fangfang, Marshall, Henry, Fong, Kwun M. and Liu, Feng (2023). An improved anchor-free nodule detection system using feature pyramid network. 45th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Sydney, NSW Australia, 24-27 July 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EMBC40787.2023.10340341
2023
Journal Article
Deep residual unfolding: a novel sparse computed tomography reconstruction method leveraging iterative learning and neural networks
Sun, Xi, Xu, Hongbo and Liu, Feng (2023). Deep residual unfolding: a novel sparse computed tomography reconstruction method leveraging iterative learning and neural networks. Journal of Radiation Research and Applied Sciences, 16 (4) 100703. doi: 10.1016/j.jrras.2023.100703
2023
Journal Article
Computational modelling of the fossa component fixation associated with alloplastic total temporomandibular joint replacements
Shen, Zhenhao, Zhang, Pengyu, Cheng, Bo, Liu, Feng and He, Dongmei (2023). Computational modelling of the fossa component fixation associated with alloplastic total temporomandibular joint replacements. Journal of the Mechanical Behavior of Biomedical Materials, 147 106104, 1-11. doi: 10.1016/j.jmbbm.2023.106104
2023
Journal Article
Global attention-enabled texture enhancement network for MR image reconstruction
Li, Yingnan, Yang, Jie, Yu, Teng, Chi, Jieru and Liu, Feng (2023). Global attention-enabled texture enhancement network for MR image reconstruction. Magnetic Resonance in Medicine, 90 (5), 1919-1931. doi: 10.1002/mrm.29785
2023
Journal Article
Completion of 25.2 T ultrahigh magnetic field NMR user facility in China
Wang, Yaohui, Liu, Jianhua, Zhou, Benzhe, Wang, Kangshuai, Liu, Hui, Wang, Hui, Chen, Shunzhong, Liu, Feng, Wang, Weimin and Wang, Qiuliang (2023). Completion of 25.2 T ultrahigh magnetic field NMR user facility in China. Superconductor Science and Technology, 36 (11) 115028. doi: 10.1088/1361-6668/acff24
2023
Journal Article
A hybrid FDTD/MoM algorithm with a conformal Huygens' equivalent surface for MRI RF coil design and analysis
Liu, Yang, Wang, Qiuliang and Liu, Feng (2023). A hybrid FDTD/MoM algorithm with a conformal Huygens' equivalent surface for MRI RF coil design and analysis. Magnetic Resonance Imaging, 102, 1-8. doi: 10.1016/j.mri.2023.03.013
2023
Journal Article
The optimization and stabilization of detuned probe light frequency to suppress electron spin polarization error in SERF co-magnetometer
Wei, Yao, Liu, Sixun, Liu, Feng, Fan, Wenfeng, Zhai, Yueyang and Quan, Wei (2023). The optimization and stabilization of detuned probe light frequency to suppress electron spin polarization error in SERF co-magnetometer. Sensors and Actuators A: Physical, 359 114467, 1-7. doi: 10.1016/j.sna.2023.114467
2023
Journal Article
Hybrid optimal design method for magnetic field coils under magnetic shielding boundary
Wu, Zhihong, Pang, Haoying, Wang, Zhuo, Fan, Wenfeng, Liu, Feng, Pei, Hongyu and Quan, Wei (2023). Hybrid optimal design method for magnetic field coils under magnetic shielding boundary. Sensors and Actuators A: Physical, 359 114464, 1-14. doi: 10.1016/j.sna.2023.114464
2023
Journal Article
Online/offline and history indexing identity-based fuzzy message detection
Wang, Zhiwei, Liu, Feng, Yiu, Siuming and Lan, Longwen (2023). Online/offline and history indexing identity-based fuzzy message detection. IEEE Transactions on Information Forensics and Security, 18, 5553-5566. doi: 10.1109/TIFS.2023.3309477
Funding
Current funding
Supervision
Availability
- Professor Feng Liu is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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AI-based Magnetic Resonance Imaging
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Novel Hardware design in MRI
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AI-based ECG study
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Computational Electromagnetics and Its Application in MRI
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Novel Imaging Methods in MRI
Supervision history
Current supervision
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Doctor Philosophy
Combined Compressed sensing and machine learning/deep learning methods for rapid MRI
Principal Advisor
Other advisors: Professor Kwun Fong, Associate Professor Henry Marshall, Dr Hongfu Sun
-
Doctor Philosophy
Advance low-field MRI with deep learning fused techonologies
Principal Advisor
-
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo
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Doctor Philosophy
Passive shimming and electromagnetic contrast imaging at ultrahigh field MRI
Principal Advisor
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Doctor Philosophy
Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging
Principal Advisor
Other advisors: Associate Professor Kai-Hsiang Chuang
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Doctor Philosophy
Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging
Principal Advisor
Other advisors: Associate Professor Kai-Hsiang Chuang
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Doctor Philosophy
Combined Compressed sensing and machine learning/deep learning methods for rapid MRI
Principal Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo
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Doctor Philosophy
Radio-frequency system design for magnetic resonance imaging at 7 Tesla
Principal Advisor
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Doctor Philosophy
The design of metamaterial RF shield to reduce specific absorption rate and improve B1 efficiency for ultra-high field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo
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Doctor Philosophy
A novel radio-frequency (RF) antenna system for X-nuclei magnetic resonance imaging
Principal Advisor
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Doctor Philosophy
Diagnosis of Arrhythmia using ECG signal classification by neural networks
Principal Advisor
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Doctor Philosophy
AI-empowered super-resolution MRI
Principal Advisor
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Doctor Philosophy
MR image processing through advanced optimisation techniques and deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
Development of novel deep learning methods for medical imaging
Associate Advisor
Other advisors: Dr Nan Ye, Dr Hongfu Sun
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Doctor Philosophy
MR image processing through advanced optimization techniques and deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
Development of novel deep learning methods for medical imaging
Associate Advisor
Other advisors: Dr Nan Ye, Dr Hongfu Sun
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Doctor Philosophy
Generalizable and robust quantitative susceptibility mapping using deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
MRI methods development through deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
MR image processing through advanced optimisation techniques and deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
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Doctor Philosophy
MR image processing through advanced optimisation techniques and deep learning
Associate Advisor
Other advisors: Dr Hongfu Sun
Completed supervision
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2024
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo
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2024
Doctor Philosophy
Key Applications in Deep Learning Based Quantitative Susceptibility Mapping
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Hongfu Sun
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2023
Doctor Philosophy
Cardiac Arrhythmia Classification: Methods Development and Applications
Principal Advisor
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2022
Doctor Philosophy
Improving deep learning-based fast MRI with pre-acquired image guidance
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Shakes Chandra
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2022
Doctor Philosophy
Deep Learning-based Quantitative Susceptibility Mapping: Methods Development and Applications
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier, Dr Hongfu Sun
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2021
Doctor Philosophy
Correction of Magnetic Resonance Image Distortion due to Gradient Nonlinearity in the Australian MRI-Linac System
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2020
Doctor Philosophy
Magnetic Resonance Based Electrical Properties Tomography in High/Ultra-High Field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2016
Doctor Philosophy
Gradient coil design and intra-coil eddy currents in MRI systems
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2016
Doctor Philosophy
Improving the Image Quality in Compressed Sensing MRI by the Exploitation of Data Properties
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2015
Master Philosophy
The Design of Radiofrequency Coils for a MRI-LINAC System
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2014
Doctor Philosophy
Exploitation of Sparsity in Compressed Sensing MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2014
Doctor Philosophy
Split-gradient coil design and analysis for hybrid MRI-involved system
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2013
Doctor Philosophy
Computational Electromagnetics-tailored Inverse Solution to Radiofrequency Issues of High Field MRI
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2024
Doctor Philosophy
Efficient Image Representations for Compressed Sensing MRI
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Professor Markus Barth, Dr Shakes Chandra
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2019
Doctor Philosophy
Radiofrequency safety and shimming near metal hip prostheses at high and ultra-high field MRI
Associate Advisor
Other advisors: Professor Markus Barth, Emeritus Professor Stuart Crozier
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2015
Doctor Philosophy
The Development of Rotating Radiofrequency Techniques for Ultra-High Field Magnetic Resonance Imaging
Associate Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2011
Doctor Philosophy
Transceive Phased-array Systems for Parallel MRI
Associate Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2011
Master Philosophy
Thoracic electrical impedance model: Investigation into the contribution of ventricular blood volume to the impedance cardiogram.
Associate Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2007
Doctor Philosophy
NUMERICAL MODELLING OF ELECTROMAGNETIC FIELD - MATERIAL INTERACTIONS IN MAGNETIC RESONANCE IMAGING
Associate Advisor
Other advisors: Emeritus Professor Stuart Crozier
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2017
Doctor Philosophy
Gradient Coil Design and Acoustic Noise Control in Magnetic Resonance Imaging Systems
Joint Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
Media
Enquiries
Contact Professor Feng Liu directly for media enquiries about:
- BioElectromagnetics
- BioMechanical Engineering
- Biomedical Engineering
- Computational Electromagnetics
- Engineering optimisation
- Magnetic Resonance Imaging (MRI)
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