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)

121 - 140 of 482 works

2021

Journal Article

Determination of the absolute branching fractions of D<sup>0</sup> → K<sup>-</sup>e<sup>+</sup>ν<sub>e</sub> and D<sup>+</sup> → (K)over-bar<sup>0</sup>e<sup>+</sup>ν<sub>e</sub>

Ablikim, M., Achasov, M. N., Adlarson, P., Ahmed, S., Albrecht, M., Aliberti, R., Amoroso, A., An, M. R., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino,, Ban, Y., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Bloms, J., Bortone, A., Boyko,, Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N. ... Zou, J. H. (2021). Determination of the absolute branching fractions of D0 → K-e+νe and D+ → (K)over-bar0e+νe. Physical Review D, 104 (5) 052008, 1-10. doi: 10.1103/PhysRevD.104.052008

Determination of the absolute branching fractions of D<sup>0</sup> → K<sup>-</sup>e<sup>+</sup>ν<sub>e</sub> and D<sup>+</sup> → (K)over-bar<sup>0</sup>e<sup>+</sup>ν<sub>e</sub>

2021

Journal Article

Deep unregistered multi-contrast MRI reconstruction

Liu, Xinwen, Wang, Jing, Jin, Jin, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). Deep unregistered multi-contrast MRI reconstruction. Magnetic Resonance Imaging, 81, 33-41. doi: 10.1016/j.mri.2021.05.005

Deep unregistered multi-contrast MRI reconstruction

2021

Journal Article

Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI

Destruel, Aurelien, Jin, Jin, Weber, Ewald, Li, Mingyan, Engstrom, Craig, Liu, Feng and Crozier, Stuart (2021). Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI. IEEE Transactions on Medical Imaging, 41 (1), 1-13. doi: 10.1109/TMI.2021.3103654

Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI

2021

Journal Article

Amplitude analysis and branching fraction measurement of D<sub>s</sub><sup>+</sup> → K<sup>+</sup>K<sup>-</sup>π<sup>+</sup>

Ablikim, M., Achasov, M. N., Adlarson, P., Ahmed, S., Albrecht, M., Amoroso, A., An, Q., Anita,, Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino,, Ban, Y., Begzsuren, K., Bennett, J., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Biernat, J., Bloms, J., Bortone, A., Boyko,, Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N. ... Zou, J. H. (2021). Amplitude analysis and branching fraction measurement of Ds+ → K+K-π+. Physical Review D, 104 (1) 012016, 1-19. doi: 10.1103/PhysRevD.104.012016

Amplitude analysis and branching fraction measurement of D<sub>s</sub><sup>+</sup> → K<sup>+</sup>K<sup>-</sup>π<sup>+</sup>

2021

Journal Article

ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner

Shan, Shanshan, Li, Mao, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner. Medical Physics, 48 (6), 2991-3002. doi: 10.1002/mp.14861

ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner

2021

Journal Article

Recurrence plot-based approach for cardiac arrhythmia classification using Inception-ResNet-v2

Zhang, Hua, Liu, Chengyu, Zhang, Zhimin, Xing, Yujie, Liu, Xinwen, Dong, Ruiqing, He, Yu, Xia, Ling and Liu, Feng (2021). Recurrence plot-based approach for cardiac arrhythmia classification using Inception-ResNet-v2. Frontiers in Physiology, 12 648950, 648950. doi: 10.3389/fphys.2021.648950

Recurrence plot-based approach for cardiac arrhythmia classification using Inception-ResNet-v2

2021

Journal Article

Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection

Liu, Xinwen, Wang, Jing, Lin, Suzhen, Crozier, Stuart and Liu, Feng (2021). Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection. NMR in Biomedicine, 34 (8) e4540, 1-13. doi: 10.1002/nbm.4540

Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection

2021

Journal Article

Effect of radiofrequency inhomogeneity on water-content based electrical properties tomography and its correction by flip angle maps

Han, Jijun, Gao, Yunyu, Nan, Xiang, Yu, Xuefei, Liu, Feng and Xin, Sherman Xuegang (2021). Effect of radiofrequency inhomogeneity on water-content based electrical properties tomography and its correction by flip angle maps. Magnetic Resonance Imaging, 78, 25-34. doi: 10.1016/j.mri.2020.12.020

Effect of radiofrequency inhomogeneity on water-content based electrical properties tomography and its correction by flip angle maps

2021

Conference Publication

Accelerating QSM using compressed sensing and deep neural network

Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2021). Accelerating QSM using compressed sensing and deep neural network. 2021 ISMRM & SMRT Annual Meeting & Exhibition, Online, 15-20 May 2021. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine.

Accelerating QSM using compressed sensing and deep neural network

2021

Journal Article

Structure and microwave dielectric properties of gillespite-type ACuSi4O10 (A = Ca, Sr, Ba) ceramics and quantitative prediction of the Q x f value via machine learning

Qin, Jincheng, Liu, Zhifu, Ma, Mingsheng, Liu, Feng, Qi, Ze-Ming and Li, Yongxiang (2021). Structure and microwave dielectric properties of gillespite-type ACuSi4O10 (A = Ca, Sr, Ba) ceramics and quantitative prediction of the Q x f value via machine learning. ACS Applied Materials and Interfaces, 13 (15), 17817-17826. doi: 10.1021/acsami.1c01909

Structure and microwave dielectric properties of gillespite-type ACuSi4O10 (A = Ca, Sr, Ba) ceramics and quantitative prediction of the Q x f value via machine learning

2021

Journal Article

On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks

Liu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019

On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks

2021

Journal Article

Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI

Chen, Haiwei, Guo, Lei, Li, Mingyan, Destruel, Aurelien, Liu, Chunyi, Weber, Ewald, Liu, Feng and Crozier, Stuart (2021). Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI. IEEE Transactions on Biomedical Engineering, 68 (4) 9190053, 1178-1189. doi: 10.1109/tbme.2020.3022884

Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI

2021

Journal Article

A volumetric finite-difference method for the design of three-dimensional, arbitrary-structured MRI gradient coil

Kang, Liyi, Xia, Ling, Wang, Qiuliang, Wang, Yaohui, Tang, Fangfang and Liu, Feng (2021). A volumetric finite-difference method for the design of three-dimensional, arbitrary-structured MRI gradient coil. Review of Scientific Instruments, 92 (3) 034712, 1-11. doi: 10.1063/5.0035118

A volumetric finite-difference method for the design of three-dimensional, arbitrary-structured MRI gradient coil

2021

Journal Article

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

Gao, Yang, Zhu, Xuanyu, Moffat, Bradford A., Glarin, Rebecca, Wilman, Alan H., Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2021). xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks. NMR in Biomedicine, 34 (3) e4461, e4461. doi: 10.1002/nbm.4461

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

2021

Journal Article

Constrained backtracking matching pursuit algorithm for image reconstruction in compressed sensing

Bi, Xue, Leng, Lu, Kim, Cheonshik, Liu, Xinwen, Du, Yajun and Liu, Feng (2021). Constrained backtracking matching pursuit algorithm for image reconstruction in compressed sensing. Applied Sciences, 11 (4) 1435, 1435-14. doi: 10.3390/app11041435

Constrained backtracking matching pursuit algorithm for image reconstruction in compressed sensing

2021

Journal Article

Measurement of cross section for e<sup>+</sup>e<sup>-</sup> → Ξ<sup>-</sup>(Ξ)over-bar<sup>+</sup> near threshold at BESIII

Ablikim, M., Achasov, M. N., Adlarson, P., Ahmed, S., Albrecht, M., Aliberti, R., Amoroso, A., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino,, Ban, Y., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Biernat, J., Bloms, J., Bortone, A., Boyko,, Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N. ... Zou, J. H. (2021). Measurement of cross section for e+e- → Ξ-(Ξ)over-bar+ near threshold at BESIII. Physical Review D, 103 (1) 012005, 1-9. doi: 10.1103/PhysRevD.103.012005

Measurement of cross section for e<sup>+</sup>e<sup>-</sup> → Ξ<sup>-</sup>(Ξ)over-bar<sup>+</sup> near threshold at BESIII

2021

Journal Article

Cognitive load during multitasking can be accurately assessed based on single channel electroencephalography using graph methods

Zhu, Guohun, Zong, Fangrong, Zhang, Hua, Wei, Bizhong and Liu, Feng (2021). Cognitive load during multitasking can be accurately assessed based on single channel electroencephalography using graph methods. IEEE Access, 9 9350659, 33102-33109. doi: 10.1109/access.2021.3058271

Cognitive load during multitasking can be accurately assessed based on single channel electroencephalography using graph methods

2021

Journal Article

Compressed sensing-based simultaneous recovery of magnitude and phase MR images via dual trigonometric sparsity

He, Wei, Liu, Xinwen, Zhao, Linman, Li, Ran and Liu, Feng (2021). Compressed sensing-based simultaneous recovery of magnitude and phase MR images via dual trigonometric sparsity. IEEE Access, 9, 38001-38009. doi: 10.1109/access.2021.3062837

Compressed sensing-based simultaneous recovery of magnitude and phase MR images via dual trigonometric sparsity

2021

Journal Article

Divergence-based magnetic resonance electrical properties tomography

Liu, Chunyi, Guo, Lei, Li, Mingyan, Chen, Haiwei, Jin, Jin, Chen, Wufan, Liu, Feng and Crozier, Stuart (2021). Divergence-based magnetic resonance electrical properties tomography. IEEE Transactions on Biomedical Engineering, 68 (1) 9120284, 192-203. doi: 10.1109/tbme.2020.3003460

Divergence-based magnetic resonance electrical properties tomography

2020

Journal Article

A dedicated eight‐channel receive RF coil array for monkey brain MRI at 9.4 T

Li, Mingyan, Li, Yu, Jin, Jin, Yang, Zhengyi, Zhang, Baogui, Liu, Yanyan, Song, Ming, Freakly, Craig, Weber, Ewald, Liu, Feng, Jiang, Tianzi and Crozier, Stuart (2020). A dedicated eight‐channel receive RF coil array for monkey brain MRI at 9.4 T. NMR in Biomedicine, 33 (10) e4369, 1-16. doi: 10.1002/nbm.4369

A dedicated eight‐channel receive RF coil array for monkey brain MRI at 9.4 T

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

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

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • Doctor Philosophy

    AI-empowered super-resolution MRI

    Principal Advisor

  • Doctor Philosophy

    Advance low-field MRI with deep learning fused techonologies

    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

    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

    Diagnosis of Arrhythmia using ECG signal classification by neural networks

    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

    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

    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 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

    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

    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

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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