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)

61 - 80 of 482 works

2023

Conference Publication

Tuberculosis screening with cough sounds using the deep learning models

Yuan, Haixin, Lou, Xiaomin, Chen, Yuanyuan, Meng, Zijun, Bai, Junrong, Liu, Feng and Xu, Wenlong (2023). Tuberculosis screening with cough sounds using the deep learning models. 2023 4th International Conference on Big Data and Artificial Intelligence and Software Engineering (ICBASE), Nanjing, China, 25-27 August 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icbase59196.2023.10303016

Tuberculosis screening with cough sounds using the deep learning models

2023

Journal Article

Measurement of the absolute branching fraction of the inclusive decay Ds+ → pi+ pi+ pi¯ X

Ablikim, M., Achasov, M. N., Adlarson, P., Albrecht, M., Aliberti, R., Amoroso, A., An, M. R., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino, I., Ban, Y., Batozskaya, V., Becker, D., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Bloms, J., Bortone, A., Boyko, I., Briere, R. A., Brueggemann, A., Cai, H., Cai, X., Calcaterra, A. ... Zou, J. H. (2023). Measurement of the absolute branching fraction of the inclusive decay Ds+ → pi+ pi+ pi¯ X. Physical Review D, 108 (3) 032001, 1-14. doi: 10.1103/PhysRevD.108.032001

Measurement of the absolute branching fraction of the inclusive decay Ds+ → pi+ pi+ pi¯ X

2023

Journal Article

Prediction of transonic film cooling using the turbulent viscosity correction method

Liu, Feng, Liu, Cun-liang, Ye, Lin, Wang, Li-quan, Zhang, Fan and Li, Bing-ran (2023). Prediction of transonic film cooling using the turbulent viscosity correction method. Physics of Fluids, 35 (7) 075139, 1-17. doi: 10.1063/5.0158591

Prediction of transonic film cooling using the turbulent viscosity correction method

2023

Journal Article

A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images

Zhang, Xian-Da, Zhang, Ling, Gong, Ting-Ting, Wang, Zhuo-Ran, Guo, Kang-Li, Li, Jun, Chen, Yuan, Zhang, Jian-Tao, Ye, Ben-Gong, Ding, Jin, Zhu, Jian-Wei, Liu, Feng, Hu, Duan-Min, Chen, JianGang, Zhou, Chun-Hua and Zou, Duo-Wu (2023). A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images. Journal of Applied Clinical Medical Physics, 24 (7) e14023. doi: 10.1002/acm2.14023

A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images

2023

Conference Publication

AF automatic classification based on different time-delay values of the recurrence plot

Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Xia, Ling, Crozier, Stuart, Xu, Wenlong and Liu, Feng (2023). AF automatic classification based on different time-delay values of the recurrence plot. 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/EMBC40787.2023.10340928

AF automatic classification based on different time-delay values of the recurrence plot

2023

Conference Publication

Multi-branch integrated model for respiratory disease screening using cough sounds

Liu, Wenlong, Xu, Wenlong, Jiang, Peirong, Zhang, Ning, Yuan, Haixin and Liu, Feng (2023). Multi-branch integrated model for respiratory disease screening using cough sounds. 2023 5th International Symposium on Smart and Healthy Cities (ISHC), Hainan, China, 16-17 December 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISHC61216.2023.00015

Multi-branch integrated model for respiratory disease screening using cough sounds

2023

Journal Article

On the passive shimming of a 7 T whole-body MRI superconducting magnet: Implementation with minimized ferromagnetic materials usage and operable magnetic force control

Wang, Wenchen, Wang, Yaohui, Wang, Hui, Cheng, Junsheng, Qu, Hongyi, Wang, Cong, Niu, Chaoqun and Liu, Feng (2023). On the passive shimming of a 7 T whole-body MRI superconducting magnet: Implementation with minimized ferromagnetic materials usage and operable magnetic force control. Medical Physics, 50 (10), 6514-6524. doi: 10.1002/mp.16538

On the passive shimming of a 7 T whole-body MRI superconducting magnet: Implementation with minimized ferromagnetic materials usage and operable magnetic force control

2023

Journal Article

The course and prognostic value of tumor stiffness detected by ultrasound elastography for transarterial chemoembolization of hepatocellular carcinoma

Hou, Suyun, Hua, Shaohua, Cui, Kefei, Liu, Feng, Ding, Ke and Yuan, Jiaxiang (2023). The course and prognostic value of tumor stiffness detected by ultrasound elastography for transarterial chemoembolization of hepatocellular carcinoma. Quantitative Imaging in Medicine and Surgery, 13 (6), 3962-3972. doi: 10.21037/qims-22-292

The course and prognostic value of tumor stiffness detected by ultrasound elastography for transarterial chemoembolization of hepatocellular carcinoma

2023

Journal Article

An automatic fresh rib fracture detection and positioning system using deep learning

Li, Ning, Wu, Zhe, Jiang, Chao, Sun, Lulu, Li, Bingyao, Guo, Jun, Liu, Feng, Zhou, Zhen, Qin, Haibo, Tan, Weixiong and Tian, Lufeng (2023). An automatic fresh rib fracture detection and positioning system using deep learning. British Journal of Radiology, 96 (1146) 20221006, 1-9. doi: 10.1259/bjr.20221006

An automatic fresh rib fracture detection and positioning system using deep learning

2023

Journal Article

Iterative regularization using an acceleration technique for synthetic aperture interferometric radiometer

Yang, Xiaocheng, Lu, Chaodong, Yan, Jingye, Wu, Lin, Liu, Feng and Jiang, Mingfeng (2023). Iterative regularization using an acceleration technique for synthetic aperture interferometric radiometer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 1-9. doi: 10.1109/jstars.2023.3276698

Iterative regularization using an acceleration technique for synthetic aperture interferometric radiometer

2023

Journal Article

Measurement of the B0 lifetime and flavor-oscillation frequency using hadronic decays reconstructed in 2019-2021 Belle II data

Abudinen, F., Adachi, I., Aggarwal, L., Ahmed, H., Aihara, H., Akopov, N., Aloisio, A., Ky, N. Anh, Asner, D. M., Atmacan, H., Aushev, T., Aushev, V., Bae, H., Bahinipati, S., Bambade, P., Banerjee, Sw, Bansal, S., Barrett, M., Baudot, J., Bauer, M., Baur, A., Beaubien, A., Becker, J., Bennett, J. V., Bernieri, E., Bernlochner, F. U., Bertacchi, V., Bertemes, M., Bertholet, E. ... Zlebcik, R. (2023). Measurement of the B0 lifetime and flavor-oscillation frequency using hadronic decays reconstructed in 2019-2021 Belle II data. Physical Review D, 107 (9) L091102, 1-9. doi: 10.1103/PhysRevD.107.L091102

Measurement of the B0 lifetime and flavor-oscillation frequency using hadronic decays reconstructed in 2019-2021 Belle II data

2023

Journal Article

Risk factors associated with left atrial appendage thrombosis in patients with non-valvular atrial fibrillation by transesophageal echocardiography

Wang, Xingpeng, Xu, Xiang, Wang, Wenting, Huang, Haiyun, Liu, Feng, Wan, Chen, Yao, Qing, Li, Huakang, Zhang, Zhihui and Song, Zhiyuan (2023). Risk factors associated with left atrial appendage thrombosis in patients with non-valvular atrial fibrillation by transesophageal echocardiography. International Journal of Cardiovascular Imaging, 39 (7), 1263-1273. doi: 10.1007/s10554-023-02841-x

Risk factors associated with left atrial appendage thrombosis in patients with non-valvular atrial fibrillation by transesophageal echocardiography

2023

Journal Article

Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac

Shan, Shanshan, Gao, Yang, Liu, Paul Z. Y., Whelan, Brendan, Sun, Hongfu, Dong, Bin, Liu, Feng and Waddington, David E. J. (2023). Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac. Magnetic Resonance in Medicine, 90 (3), 1-15. doi: 10.1002/mrm.29684

Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac

2023

Journal Article

High-performance shim coil design and engineering optimization for use in an extremely high field superconducting magnet

Zheng, Yijie, Wang, Yaohui, Liu, Feng, Yan, Ming and Wang, Qiuliang (2023). High-performance shim coil design and engineering optimization for use in an extremely high field superconducting magnet. Review of Scientific Instruments, 94 (4) 044712, 1-8. doi: 10.1063/5.0137337

High-performance shim coil design and engineering optimization for use in an extremely high field superconducting magnet

2023

Journal Article

Observation of e+ e- → pp(p)over-bar(p)over-barπ- +c.c.

Ablikim, M., Achasov, M. N., Adlarson, P., Albrecht, M., Aliberti, R., Amoroso, A., An, M. R., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino, I., Ban, Y., Batozskaya, V., Becker, D., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Bloms, J., Bortone, A., Boyko, I., Briere, R. A., Brueggemann, A., Cai, H., Cai, X., Calcaterra, A. ... Zou, J. H. (2023). Observation of e+ e- → pp(p)over-bar(p)over-barπ- +c.c.. Chinese Physics C, 47 (4) 043001, 1-10. doi: 10.1088/1674-1137/acb6eb

Observation of e+ e- → pp(p)over-bar(p)over-barπ- +c.c.

2023

Journal Article

Probe beam influence on spin polarization in spin-exchange relaxation-free co-magnetometers

Wei, Yao, Xing, Li, Zhai, Yueyang, Fan, Wenfeng, Fang, Chi, Liu, Feng and Quan, Wei (2023). Probe beam influence on spin polarization in spin-exchange relaxation-free co-magnetometers. Journal of Physics D: Applied Physics, 56 (13) 135001, 1-9. doi: 10.1088/1361-6463/acbd60

Probe beam influence on spin polarization in spin-exchange relaxation-free co-magnetometers

2023

Journal Article

Human genetic history on the Tibetan Plateau in the past 5100 years

Wang, Hongru, Yang, Melinda A., Wangdue, Shargan, Lu, Hongliang, Chen, Honghai, Li, Linhui, Dong, Guanghui, Tsring, Tinley, Yuan, Haibing, He, Wei, Ding, Manyu, Wu, Xiaohong, Li, Shuai, Tashi, Norbu, Yang, Tsho, Yang, Feng, Tong, Yan, Chen, Zujun, He, Yuanhong, Cao, Peng, Dai, Qingyan, Liu, Feng, Feng, Xiaotian, Wang, Tianyi, Yang, Ruowei, Ping, Wanjing, Zhang, Zhaoxia, Gao, Yang, Zhang, Ming ... Fu, Qiaomei (2023). Human genetic history on the Tibetan Plateau in the past 5100 years. Science Advances, 9 (11) eadd5582, 1-18. doi: 10.1126/sciadv.add5582

Human genetic history on the Tibetan Plateau in the past 5100 years

2023

Journal Article

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping

Xiong, Zhuang, Gao, Yang, Liu, Feng and Sun, Hongfu (2023). Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. NeuroImage, 267 119842, 1-9. doi: 10.1016/j.neuroimage.2022.119842

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping

2023

Journal Article

Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Zhang, Dongxia, Xia, Ling, Crozier, Stuart, Gan, Hongping, Zhao, Nan, Xu, Wenlong and Liu, Feng (2023). Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network. Frontiers in Physiology, 14 1070621, 1070621. doi: 10.3389/fphys.2023.1070621

Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

2023

Journal Article

A hybrid FDTD/MoM algorithm with a non-uniform grid for MRI RF coil design

Liu, Yang, Wang, Qiuliang and Liu, Feng (2023). A hybrid FDTD/MoM algorithm with a non-uniform grid for MRI RF coil design. Magnetic Resonance Imaging, 96, 75-84. doi: 10.1016/j.mri.2022.10.008

A hybrid FDTD/MoM algorithm with a non-uniform grid for MRI RF coil design

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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