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Email

l.johnston@unimelb.edu.au

Credentials


Position
Head of Biomedical Engineering
Department of Biomedical Engineering
Education
PhD
The University of Melbourne
PhD
University of Melbourne
Bachelors Degree
University of Melbourne
Bachelors Degree (Honours)
University of Melbourne
ORCID

0000-0002-5032-4674

Prof Leigh Johnston

Head of Biomedical Engineering
Department of Biomedical Engineering

165 Scholarly works
19 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Rapid and simplified post-processing for simultaneous B0 and B1 mapping in the application of CEST
    DOI: 10.1002/mrm.70001
  • 2025

    Journal article

    In vivo evaluation of population-specific inversion pulses in parallel transmission
    DOI: 10.1002/mrm.30593
  • 2025

    Journal article

    A general model for head and neck auto-segmentation with patient pre-treatment imaging during adaptive radiation therapy
    DOI: 10.1002/mp.17732
  • 2025

    Conference Proceedings

    Quasi-instantaneous subject-specific slice-by-slice pTx pulse design with Deep Learning: application to 2D diffusion MRI
    DOI: 10.58530/2025/3443
  • 2022

    Research Grant

    Whole-Head Optically-Pumped Room-Temperature Magnetoencephalography
  • 2021

    Research contracts (non-grants)

    National Imaging Facility Vic Biomedical Imaging Capability
  • 2021

    Research contracts (non-grants)

    National Imaging Facility (NIF): New Frontiers - Plant, Molecular and MRI-HIFU Imaging
Leigh Johnston

RECENT SCHOLARLY WORKS

  • 2025

    Conference Proceedings

    Optimising Ex-Vivo Hand Imaging at Ultra-High FIeld (7T)
    DOI: 10.58530/2025/5354
  • 2025

    Conference Proceedings

    Subpopulation universal pulses: practical online implementation
    DOI: 10.58530/2025/3449
  • 2024

    Journal article

    Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture
    DOI: 10.1002/mrm.30187
  • 2024

    Journal article

    Transfer learning for auto-segmentation of 17 organs-at-risk in the head and neck: Bridging the gap between institutional and public datasets
    DOI: 10.1002/mp.16997
  • 2024

    Conference Proceedings

    Sodium and Proton Knee MRI using a 32 Channel Transmit and Receive Modular Array at 7.0 Tesla
    DOI: 10.58530/2024/1444
  • 2024

    Conference Proceedings

    Modular open-source imaging phantom
    DOI: 10.58530/2024/1321

RECENT PROJECTS

  • 2025

    Research grants (ARC, NHMRC, MRFF)

    Energy Inefficiency in Long COVID and ME/CFS
  • 2023

    Research grants (ARC, NHMRC, MRFF)

    Tissue Bio-Physicochemical Quantification Using Magnetic Resonance Imaging

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