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Professor Feng Liu
Professor

Feng Liu

Email: 
Phone: 
+61 7 336 53982

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

  • 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

491 works between 1997 and 2025

261 - 280 of 491 works

2013

Journal Article

A comparative numerical study of rotating and stationary RF coils in terms of flip angle and specific absorption rate for 7 T MRI

Trakic, A., Jin, J., Li, M., McClymont, D., Weber, E., Liu, F. and Crozier, S. (2013). A comparative numerical study of rotating and stationary RF coils in terms of flip angle and specific absorption rate for 7 T MRI. Journal of Magnetic Resonance, 236, 70-82. doi: 10.1016/j.jmr.2013.08.016

A comparative numerical study of rotating and stationary RF coils in terms of flip angle and specific absorption rate for 7 T MRI

2013

Journal Article

Sparsity-constrained SENSE reconstruction: an efficient implementation using a fast composite splitting algorithm

Jiang, Mingfeng, Jin, Jin, Liu, Feng, Yu, Yeyang, Xia, Ling, Wang, Yaming and Crozier, Stuart (2013). Sparsity-constrained SENSE reconstruction: an efficient implementation using a fast composite splitting algorithm. Magnetic Resonance Imaging, 31 (7), 1218-1227. doi: 10.1016/j.mri.2012.12.003

Sparsity-constrained SENSE reconstruction: an efficient implementation using a fast composite splitting algorithm

2013

Journal Article

Analysis of heart rate variability using fuzzy measure entropy

Liu, Chengyu, Li, Ke, Zhao, Lina, Liu, Feng, Zheng, Dingchang, Liu, Changchun and Liu, Shutang (2013). Analysis of heart rate variability using fuzzy measure entropy. Computers in Biology and Medicine, 43 (2), 100-108. doi: 10.1016/j.compbiomed.2012.11.005

Analysis of heart rate variability using fuzzy measure entropy

2013

Conference Publication

On patient-specific models for accurate SAR estimations at 7 T

Jin Jin, Liu, Feng, Weber, Ewald and Crozier, Stuart (2013). On patient-specific models for accurate SAR estimations at 7 T. 21st Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2013), Salt Lake City, UT, United States, 20-26 April 2013.

On patient-specific models for accurate SAR estimations at 7 T

2013

Journal Article

Quantification of the effect of cross-shear and applied nominal contact pressure on the wear of moderately cross-linked polyethylene

Abdelgaied, Abdellatif, Brockett, Claire L., Liu, Feng, Jennings, Louise M., Fisher, John and Jin, Zhongmin (2013). Quantification of the effect of cross-shear and applied nominal contact pressure on the wear of moderately cross-linked polyethylene. Proceedings of the Institution of Mechanical Engineers Part H-Journal of Engineering in Medicine, 227 (H1), 18-26. doi: 10.1177/0954411912459423

Quantification of the effect of cross-shear and applied nominal contact pressure on the wear of moderately cross-linked polyethylene

2013

Conference Publication

The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem

Jiang, Mingfeng, Wang, Yaming, Xia, Ling, Liu, Feng, Jiang, Shanshan and Huang, Wenqing (2013). The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem. The 2012 8th International Conference on Natural Computation The 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, Chongqing, China, 29 -31 May 2012. Kidlington, Oxford, United Kingdom: Pergamon. doi: 10.1016/j.camwa.2013.09.010

The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem

2013

Conference Publication

B1 gradient encoding with the rotating RF coil

Trakic, Adnan, Weber, Ewald, Jin, Jin, Li, Mingyan, Liu, Feng and Crozier, Stuart (2013). B1 gradient encoding with the rotating RF coil. International Society for Magnetic Resonance in Medicine (ISMRM): 21st Scientific Meeting and Exhibition, Salt Lake City, UT, United States, 20-16 April 2013. New York, NY, United States: International Society of Magnetic Resonance in Medicine.

B1 gradient encoding with the rotating RF coil

2013

Conference Publication

Fast dynamic magnetic resonance imaging based on an improved Motion Estimation/Motion Compensation scheme

Ruan, Qinjie, Jin, Zhaoyang, Liu, Feng, Xu, Ping and Lai, Xiaoping (2013). Fast dynamic magnetic resonance imaging based on an improved Motion Estimation/Motion Compensation scheme. 2013 6th International Conference on Biomedical Engineering and Informatics, Hangzhou, China, 16-18 December 2013. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/BMEI.2013.6746903

Fast dynamic magnetic resonance imaging based on an improved Motion Estimation/Motion Compensation scheme

2013

Conference Publication

Application of Rotating RF Coil Array in B1 Shimming with Strict Local SAR Constraints

Jin Jin, Liu, Feng, Trakic, Adnan, Weber, Ewald and Crozier, Stuart (2013). Application of Rotating RF Coil Array in B1 Shimming with Strict Local SAR Constraints. ISMRM (International Society for Magnetic Resonance in Medicine), Salt Lake City, USA, 20-26 April 2013.

Application of Rotating RF Coil Array in B1 Shimming with Strict Local SAR Constraints

2013

Journal Article

Distributed Compressed Sensing MRI Using Volume Array Coil

Feng, Zhen, Liu, Feng, Guo, He, Chen, Zhikui, Jiang, Mingfeng, Hong, Mingjian and Jia, Qi (2013). Distributed Compressed Sensing MRI Using Volume Array Coil. International Journal of Distributed Sensor Networks, 2013 (9) 989678, 989678. doi: 10.1155/2013/989678

Distributed Compressed Sensing MRI Using Volume Array Coil

2013

Conference Publication

From matrix to tensor: compressed sensing dynamic MRI using tensor based sparsity

Yeyang Yu, Jin Jin, Liu, Feng, Crozier, Stuart and Hong, Mingjian (2013). From matrix to tensor: compressed sensing dynamic MRI using tensor based sparsity. International Society for Magnetic Resonance in Medicine, 21st Annual Meeting and Exhibition, Salt Lake City, UT, United States, 20-26 April 2013. New York, NY, United States: International Society of Magnetic Resonance in Medicine.

From matrix to tensor: compressed sensing dynamic MRI using tensor based sparsity

2013

Journal Article

Marriage of CT and MRI for vulnerable plaque characterization

Wang, Ge, Liu, Feng, Liu, Fenglin, Cao, Guohua, Gao, Hao and Vannier, Michael W. (2013). Marriage of CT and MRI for vulnerable plaque characterization. Imaging in Medicine, 5 (2), 95-97. doi: 10.2217/iim.13.13

Marriage of CT and MRI for vulnerable plaque characterization

2013

Conference Publication

Highly accelerated parallel MRI using rotating radiofrequency coil array at 7T

Li, Mingyan, Jin Jin, Liu, Feng, Weber, Ewald, Trakic, Adnan and Crozier, Stuart (2013). Highly accelerated parallel MRI using rotating radiofrequency coil array at 7T. International Society for Magnetic Resonance in Medicine, Salt Lake City, Utah USA, 20-26 April 2013.

Highly accelerated parallel MRI using rotating radiofrequency coil array at 7T

2013

Journal Article

A homogeneous superconducting magnet design using a hybrid optimization algorithm

Ni, Zhipeng, Wang, Qiuliang, Liu, Feng and Yan, Luguang (2013). A homogeneous superconducting magnet design using a hybrid optimization algorithm. Measurement Science and Technology, 24 (12) 125402, 125402. doi: 10.1088/0957-0233/24/12/125402

A homogeneous superconducting magnet design using a hybrid optimization algorithm

2013

Journal Article

Compressed sensing MRI with Walsh transform-based sparsity basis

Zhen, Feng, He, Guo, Wang, Yu-Xin, Xu, Wen-Long, Jiang, Ming-Feng and Feng, Liu (2013). Compressed sensing MRI with Walsh transform-based sparsity basis. Information Technology Journal, 12 (23), 7709-7713. doi: 10.3923/itj.2013.7709.7713

Compressed sensing MRI with Walsh transform-based sparsity basis

2013

Conference Publication

Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems

Cheng, Yiyuan, Xia, Ling, He, Wei, Zhu, Minhua and Liu, Feng (2013). Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems. 2013 9th International Conference on Natural Computation, ICNC 2013, Shenyang, China, July 23 - 25, 2013. IEEE Computer Society. doi: 10.1109/ICNC.2013.6818084

Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems

2013

Journal Article

Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system

Liu, Limei, Sanchez-Lopez, Hector, Liu, Feng and Crozier, Stuart (2013). Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system. Journal of Magnetic Resonance, 226, 70-78. doi: 10.1016/j.jmr.2012.11.017

Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system

2013

Conference Publication

Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array

Li, Mingyan, Jin Jin, Liu, Feng, Trakic, Adnan and Crozier, Stuart (2013). Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array. International Society for Magnetic Resonance in Medicine, 21st Annual Meeting and Exhibition, Salt Lake City, UT, United States, 20-26 April 2013. New York, NY, United States: International Society of Magnetic Resonance in Medicine.

Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array

2012

Journal Article

Improving SAR estimations in MRI using subject-specific models

Jin, Jin, Liu, Feng, Weber, Ewald and Crozier, Stuart (2012). Improving SAR estimations in MRI using subject-specific models. Physics in Medicine and Biology, 57 (24), 8153-8171. doi: 10.1088/0031-9155/57/24/8153

Improving SAR estimations in MRI using subject-specific models

2012

Journal Article

A finite difference method for the design of gradient coils in MRI-an initial framework

Zhu, Minhua, Xia, Ling, Liu, Feng, Zhu, Jianfeng, Kang, Liyi and Crozier, Stuart (2012). A finite difference method for the design of gradient coils in MRI-an initial framework. Ieee Transactions On Biomedical Engineering, 59 (9 Article No.6153352) 6153352, 2412-2421. doi: 10.1109/TBME.2012.2188290

A finite difference method for the design of gradient coils in MRI-an initial framework

Funding

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

Supervision

Availability

Professor Feng Liu is:
Available for supervision

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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

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

    Principal Advisor

  • 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

    Diagnosis of Arrhythmia using ECG signal classification by neural networks

    Principal Advisor

  • 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

    AI-empowered super-resolution MRI

    Principal Advisor

  • Doctor Philosophy

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

    Principal Advisor

  • 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

  • Doctor Philosophy

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

  • Doctor Philosophy

    MRI methods development through deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Generalizable and robust quantitative susceptibility mapping using deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

Completed supervision

Media

Enquiries

Contact Professor Feng Liu directly for media enquiries about:

  • BioElectromagnetics
  • BioMechanical Engineering
  • Biomedical Engineering
  • Computational Electromagnetics
  • Engineering optimisation
  • Magnetic Resonance Imaging (MRI)

Need help?

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communications@uq.edu.au