Professor Feng Liu
Professor

Feng Liu

Email: 
Phone: 
+61 7 336 53982

Availability

Professor Feng Liu is:
Available for supervision
Media expert

Fields of research

Biomedical engineering

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

  • 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.

Search Professor Feng Liu’s works on UQ eSpace

482 works between 1997 and 2025
All (482) Journal Article (309) Conference Publication (170) Other Outputs (3)

161 - 180 of 482 works

2019

Other Outputs

MRI RF Coil design

Crozier, Stuart, Li, Bing Keong, Liu, Feng and Weber, Ewald (2019). MRI RF Coil design. EP 2281208 B1.

MRI RF Coil design

2019

Journal Article

Chaotic binary sensing matrices

Can, Hongping, Xiao, Song and Liu, Feng (2019). Chaotic binary sensing matrices. International Journal of Bifurcation and Chaos, 29 (9) 1950121, 1950121. doi: 10.1142/S0218127419501219

Chaotic binary sensing matrices

2019

Journal Article

Bipolar measurement matrix using chaotic sequence

Gan, Hongping, Xiao, Song, Zhang, Tao and Liu, Feng (2019). Bipolar measurement matrix using chaotic sequence. Communications in Nonlinear Science and Numerical Simulation, 72, 139-151. doi: 10.1016/j.cnsns.2018.12.012

Bipolar measurement matrix using chaotic sequence

2019

Journal Article

Integral MR-EPT with the Calculation of Coil Current Distributions

Guo, Lei, Li, Mingyan, Nguyen, Phong, Liu, Feng and Crozier, Stuart (2019). Integral MR-EPT with the Calculation of Coil Current Distributions. IEEE Transactions on Medical Imaging, 39 (1) 8736288, 175-187. doi: 10.1109/tmi.2019.2922318

Integral MR-EPT with the Calculation of Coil Current Distributions

2019

Journal Article

A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T

Destruel, Aurelien, Fuentes, Miguel, Weber, Ewald, O'Brien, Kieran, Jin, Jin, Liu, Feng, Barth, Markus and Crozier, Stuart (2019). A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T. Magnetic Resonance in Medicine, 81 (6), 3826-3839. doi: 10.1002/mrm.27688

A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T

2019

Journal Article

Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites

Mikkelsen, Mark, Rimbault, Daniel L., Barker, Peter B., Bhattacharyya, Pallab K., Brix, Maiken K., Buur, Pieter F., Cecil, Kim M., Chan, Kimberly L., Chen, David Y-T, Craven, Alexander R., Cuypers, Koen, Dacko, Michael, Duncan, Niall W., Dydak, Ulrike, Edmondson, David A., Ende, Gabriele, Ersland, Lars, Forbes, Megan A., Gao, Fei, Greenhouse, Ian, Harris, Ashley D., He, Naying, Heba, Stefanie, Hoggard, Nigel, Hsu, Tun-Wei, Jansen, Jacobus F. A., Kangarlu, Alayar, Lange, Thomas, Lebel, R. Marc ... Edden, Richard A. E. (2019). Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites. Neuroimage, 191, 537-548. doi: 10.1016/j.neuroimage.2019.02.059

Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites

2019

Journal Article

A cone-shaped gradient coil design for high-resolution MRI head imaging

Tang, Fangang, Hao, Jiahao, Freschi, Fabio, Niu, Chaoqun, Repetto, Maurizio, Liu, Feng and Crozier, Stuart (2019). A cone-shaped gradient coil design for high-resolution MRI head imaging. Physics in Medicine & Biology, 64 (8) 085003, 085003. doi: 10.1088/1361-6560/ab084a

A cone-shaped gradient coil design for high-resolution MRI head imaging

2019

Journal Article

Electrocardiogram reconstruction based on compressed sensing

Zhang, Zhimin, Liu, Xinwen, Wei, Shoushui, Gan, Hongping, Liu, Feifei, Li, Yuwen, Liu, Chengyu and Liu, Feng (2019). Electrocardiogram reconstruction based on compressed sensing. IEEE Access, 7 8667447, 37228-37237. doi: 10.1109/ACCESS.2019.2905000

Electrocardiogram reconstruction based on compressed sensing

2019

Journal Article

A dichotomization winding scheme on a novel asymmetric head gradient coil design with an improved force and torque balance

Wang, Yaohui, Wang, Qiuliang, Guo, Lei, Chen, Zhifeng, Zhang, Xinyuan, Qu, Hongyi and Liu, Feng (2019). A dichotomization winding scheme on a novel asymmetric head gradient coil design with an improved force and torque balance. IEEE Transactions on Biomedical Engineering, 66 (12) 8664649, 1-1. doi: 10.1109/tbme.2019.2904213

A dichotomization winding scheme on a novel asymmetric head gradient coil design with an improved force and torque balance

2019

Journal Article

Measurement of the absolute branching fractions of Λ<sub>c</sub><SUP>+</SUP> → Ληπ<SUP>+</SUP> and Σ(1385) <SUP>+</SUP> η

Ablikim, M., Achasov, M. N., Ahmed, S., Albrecht, M., Alekseev, M., Amoroso, A., An, F. F., An, Q., Bai, Y., Bakina, O., Ferroli, R. Baldini, Ban, Y., Begzsuren, K., Bennett, D. W., Bennett, J., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Boger, E., Boyko, , Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cetin, S. A., Chai, J., Chang, J. F. ... Zou, J. H. (2019). Measurement of the absolute branching fractions of Λc+ → Ληπ+ and Σ(1385) + η. Physical Review D, 99 (3) 032010. doi: 10.1103/PhysRevD.99.032010

Measurement of the absolute branching fractions of Λ<sub>c</sub><SUP>+</SUP> → Ληπ<SUP>+</SUP> and Σ(1385) <SUP>+</SUP> η

2019

Journal Article

Gradient Field Deviation (GFD) correction using a hybrid-norm approach with wavelet sub-band dependent regularisation: implementation for radial MRI at 9.4 T

Shan, Shanshan, Li, Mingyan, Tang, Fangfang, Ma, Huan, Liu, Feng and Crozier, Stuart (2019). Gradient Field Deviation (GFD) correction using a hybrid-norm approach with wavelet sub-band dependent regularisation: implementation for radial MRI at 9.4 T. IEEE Transactions on Biomedical Engineering, 66 (9), 1-1. doi: 10.1109/TBME.2019.2895091

Gradient Field Deviation (GFD) correction using a hybrid-norm approach with wavelet sub-band dependent regularisation: implementation for radial MRI at 9.4 T

2019

Journal Article

Adaptive SAR mass-averaging framework to improve predictions of local RF heating near a hip implant for parallel transmit at 7 T

Destruel, Aurelien, O'Brien, Kieran, Jin, Jin, Liu, Feng, Barth, Markus and Crozier, Stuart (2019). Adaptive SAR mass-averaging framework to improve predictions of local RF heating near a hip implant for parallel transmit at 7 T. Magnetic Resonance in Medicine, 81 (1), 615-627. doi: 10.1002/mrm.27379

Adaptive SAR mass-averaging framework to improve predictions of local RF heating near a hip implant for parallel transmit at 7 T

2019

Conference Publication

Robust feature selection based on fuzzy rough sets with representative sample

Zhang, Zhimin, Chen, Weitong, Liu, Chengyu, Kang, Yun, Liu, Feng, Li, Yuwen and Wei, Shoushui (2019). Robust feature selection based on fuzzy rough sets with representative sample. ADMA: International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_11

Robust feature selection based on fuzzy rough sets with representative sample

2019

Conference Publication

Modeling an Information-based Advanced Persistent Threat Attack on the Internal Network

Yan, Dingyu, Liu, Feng and Jia, Kun (2019). Modeling an Information-based Advanced Persistent Threat Attack on the Internal Network. IEEE International Conference on Communications (IEEE ICC), Shanghai Peoples R China, May 20-24, 2019. NEW YORK: IEEE. doi: 10.1109/icc.2019.8761077

Modeling an Information-based Advanced Persistent Threat Attack on the Internal Network

2019

Journal Article

A novel design method of independent zonal superconducting shim coil

Niu, Chaoqun, Zhu, Xuchen, Wang, Qiuliang, Li, Yi, Tang, Fangfang and Liu, Feng (2019). A novel design method of independent zonal superconducting shim coil. IEEE Transactions on Applied Superconductivity, 29 (1) 4400108, 1-8. doi: 10.1109/tasc.2018.2849977

A novel design method of independent zonal superconducting shim coil

2019

Journal Article

Changes of the postcentral cortex in irritable bowel syndrome patients

Nan, Jiaofen, Yang, Wenya, Meng, Panting, Huang, Wei, Zheng, Qian, Xia, Yongquan and Liu, Feng (2019). Changes of the postcentral cortex in irritable bowel syndrome patients. Brain Imaging and Behavior, 14 (5), 1566-1576. doi: 10.1007/s11682-019-00087-7

Changes of the postcentral cortex in irritable bowel syndrome patients

2019

Conference Publication

A novel mixed integer programming scheme for passive shimming in MRI

Qu, Hongyi, Niu, Chaoqun, Liu, Yang, Wang, Qiuliang and Liu, Feng (2019). A novel mixed integer programming scheme for passive shimming in MRI. Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall), Xiamen, China, 17-20 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PIERS-Fall48861.2019.9021454

A novel mixed integer programming scheme for passive shimming in MRI

2019

Journal Article

The optimal target magnetic field method for passive shimming in MRI

Qu, Hongyi, Niu, Chaoqun, Wang, Yaohui, Wang, Qiuliang, Xia, Ling and Liu, Feng (2019). The optimal target magnetic field method for passive shimming in MRI. Journal of Superconductivity and Novel Magnetism, 33 (3), 867-875. doi: 10.1007/s10948-019-05241-2

The optimal target magnetic field method for passive shimming in MRI

2018

Journal Article

Efficient sleep classification based on entropy features and support vector machine classifier

Zhang, Zhimin, Wei, Shoushui, Zhu, Guohun, Liu, Feifei, Li, Yuwen, Dong, Xiaotong, Liu, Chengyu and Liu, Feng (2018). Efficient sleep classification based on entropy features and support vector machine classifier. Physiological Measurement, 39 (11) 115005, 115005. doi: 10.1088/1361-6579/aae943

Efficient sleep classification based on entropy features and support vector machine classifier

2018

Journal Article

Reference-based integral MR-EPT: simulation and experiment studies on the 9.4T MRI

Guo, Lei, Jin, Jin, Li, Mingyan, Wang, Yaohui, Liu, Chun yi, Liu, Feng and Crozier, Stuart (2018). Reference-based integral MR-EPT: simulation and experiment studies on the 9.4T MRI. IEEE Transactions on Biomedical Engineering, 66 (7) 8523676, 1-1. doi: 10.1109/tbme.2018.2879667

Reference-based integral MR-EPT: simulation and experiment studies on the 9.4T MRI

Current funding

  • 2024 - 2027
    Quantum-Enabled Low-Field Magnetic Resonance Imaging for High-Performance Sport
    Quantum 2032 Challenge Program
    Open grant
  • 2024 - 2026
    Disambiguating Parkinson's disease from disorders with mimicking symptoms using ultra-high-field (7 Tesla) multi-modal MRI
    NHMRC IDEAS Grants
    Open grant
  • 2023 - 2026
    Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant
  • 2022 - 2025
    Evaluation of 7T 8-channel MRI coil for imaging of the human spine
    Aix-Marseille University
    Open grant

Past funding

  • 2023 - 2024
    Versatile Physical Property Measurement System for South-East Queensland (ARC LIEF administered by Queensland University of Technology)
    Queensland University of Technology
    Open grant
  • 2018 - 2022
    Dielectric contrast imaging for 7 Tesla Magnetic Resonance applications
    ARC Discovery Projects
    Open grant
  • 2016 - 2020
    Rotating Radiofrequency Phased-array for 7 Tesla Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    Advanced Magnetic Resonance Imaging at 7 Tesla: Resolving the fundamental radiofrequency field-tissue interaction problem at ultra-high field
    ARC Discovery Projects
    Open grant
  • 2013 - 2016
    Heteronuclear parallel imaging and spectroscopy for Magnetic Resonance
    ARC Linkage Projects
    Open grant
  • 2013 - 2016
    Real-time cardiac magnetic resonance imaging: a compressed-sensing framework incorporating sensor design and multidimensional signal reconstruction
    ARC Discovery Projects
    Open grant
  • 2010 - 2012
    Solutions for reducing magnetic resonance image degradations and tissue heating at high frequencies
    ARC Discovery Projects
    Open grant
  • 2010
    UQ Travel Awards #2 - Feng LIU
    UQ Travel Grants Scheme
    Open grant
  • 2008 - 2011
    Transceive Phased Arrays for Parallel Imaging in High Field Magnetic Resonance Microscopy.
    ARC Linkage Projects
    Open grant
  • 2007 - 2011
    UQ Mid-Career Research Fellowship Start-Up Funding: Bioelectromagnetics and medical diagnostics
    UQ Mid-Career Research Fellowship
    Open grant
  • 2005 - 2007
    Cardiac electrographic modelling and analysis
    ARC Discovery Projects
    Open grant

Availability

Professor Feng Liu is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • AI-based Magnetic Resonance Imaging

  • Novel Hardware design in MRI

  • AI-based ECG study

  • Computational Electromagnetics and Its Application in MRI

  • Novel Imaging Methods in MRI

Supervision history

Current supervision

  • 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

  • Doctor Philosophy

    Passive shimming and electromagnetic contrast imaging at ultrahigh field MRI

    Principal Advisor

  • Doctor Philosophy

    Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • Doctor Philosophy

    Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • Doctor Philosophy

    Combined Compressed sensing and machine learning/deep learning methods for rapid MRI

    Principal Advisor

    Other advisors: Dr Hongfu Sun

  • 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

  • Doctor Philosophy

    Radio-frequency system design for magnetic resonance imaging at 7 Tesla

    Principal Advisor

  • 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

  • Doctor Philosophy

    A novel radio-frequency (RF) antenna system for X-nuclei magnetic resonance imaging

    Principal Advisor

  • Doctor Philosophy

    Diagnosis of Arrhythmia using ECG signal classification by neural networks

    Principal Advisor

  • Doctor Philosophy

    AI-empowered super-resolution MRI

    Principal Advisor

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimization techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

  • Doctor Philosophy

    Generalizable and robust quantitative susceptibility mapping using deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MRI methods development through deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

Completed supervision

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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