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

575 works between 1997 and 2026
All (575) Journal Article (392) Other Outputs (3) Conference Publication (180)

81 - 100 of 575 works

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

DMRNet based tuberculosis screening with cough sound

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

AliasNet: Alias artefact suppression network for accelerated phase-encode MRI

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

Time-domain sparsity-based bearing fault diagnosis methods using pulse signal-to-noise ratio

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

NesTD-Net: deep NESTA-inspired unfolding network with dual-path deblocking structure for image compressive sensing

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) 2301282, 1-9. doi: 10.1002/adom.202301282

Moisture-insensitive, phase-stable indium-based metal halides and their light-emitting applications

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

Superconducting shim coils design for the 9.4 tesla whole-body MRI magnet

2024

Journal Article

Electromagnetic Design of a 0.5 T REBCO MRI magnet for Brain MRI imaging

Li, Da, Ren, Yong and Liu, Feng (2024). Electromagnetic Design of a 0.5 T REBCO MRI magnet for Brain MRI imaging. IEEE Transactions on Applied Superconductivity, 34 (7) 4403207, 1-7. doi: 10.1109/tasc.2024.3426543

Electromagnetic Design of a 0.5 T REBCO MRI magnet for Brain MRI imaging

2024

Journal Article

Asymmetrical planar folded dipole antennas for human body MRI at 7 T

Chen, Haiwei, Guo, Lei, Lou, Feiyang, Gao, Yang, Quan, Zhiyan, Liu, Chunyi, Boulant, Nicolas, Liu, Feng and Zhang, Xiaotong (2024). Asymmetrical planar folded dipole antennas for human body MRI at 7 T. IEEE Transactions on Antennas and Propagation, PP (99), 1-1. doi: 10.1109/tap.2024.3513639

Asymmetrical planar folded dipole antennas for human body MRI at 7 T

2024

Conference Publication

QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature Editing

Gao, Yang, Xiong, Zhuang, Shan, Shanshan, Li, Min, Wilman, Alan H, Pike, G. Bruce, Liu, Feng and Sun, Hongfu (2024). QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature Editing. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/2453

QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature Editing

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

Augmented deep multi-granularity pose-aware feature fusion network for visible-infrared person re-identification

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

Design, fabrication and measurement of a 3T cryogen-free animal MRI superconducting magnet

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

Passive shimming for the 9.4 T whole-body MRI superconducting magnet

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

A noval pulmonary function evaluation method based on ResNet50 + SVR model and cough

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

An improved anchor-free nodule detection system using feature pyramid network

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, 100703. doi: 10.1016/j.jrras.2023.100703

Deep residual unfolding: a novel sparse computed tomography reconstruction method leveraging iterative learning and neural networks

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

Computational modelling of the fossa component fixation associated with alloplastic total temporomandibular joint replacements

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

Global attention-enabled texture enhancement network for MR image reconstruction

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, 115028. doi: 10.1088/1361-6668/acff24

Completion of 25.2 T ultrahigh magnetic field NMR user facility in China

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

A hybrid FDTD/MoM algorithm with a conformal Huygens' equivalent surface for MRI RF coil design and analysis

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

Hybrid optimal design method for magnetic field coils under magnetic shielding boundary

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

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
  • 2022 - 2025
    Evaluation of 7T 8-channel MRI coil for imaging of the human spine
    Aix-Marseille University
    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

Looking for a supervisor? Read our advice on how to choose 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

    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

    Deep Neural Architectures for Robust Feature Localization in Computer Tomography and Spectroscopy

    Principal Advisor

    Other advisors: Professor Kwun Fong, Associate Professor Henry Marshall, Dr Hongfu Sun

  • Doctor Philosophy

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

    Principal Advisor

  • 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

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

    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

    Deep learning based method for magnetic resonance fingerprinting reconstruction

    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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