• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

bahmant@unimelb.edu.au

Credentials


Position
Senior Fellow in Plant Imaging
Department of Radiology
Education
Graduate Certificate
University of Melbourne
PhD
University of Melbourne
Masters (Coursework & Research)
Not Provided
Bachelors Degree
Not Provided
ORCID

0000-0002-4927-0023

Dr Bahman Tahayori

Senior Fellow in Plant Imaging
Department of Radiology

57 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

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

    Journal article

    Task demands shape network interactions during reading and visual form processing
    DOI: 10.1162/IMAG.a.13
  • 2025

    Conference Proceedings

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

    Journal article

    Common pitfalls during model specification in psychophysiological interaction analysis
    DOI: 10.1162/IMAG.a.989
  • 2020

    Journal article

    Determination of the electrical impedance of neural tissue from its microscopic cellular constituents
    DOI: 10.1088/1741-2552/ab560a
  • 2014

    Journal article

    Modelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering properties
    DOI: 10.1088/1741-2560/11/6/065005
  • 2012

    Journal article

    Modeling extracellular electrical stimulation: II. Computational validation and numerical results
    DOI: 10.1088/1741-2560/9/6/065006
Bahman Tahayori

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation
    DOI: 10.1111/1742-6723.14325
  • 2024

    Journal article

    What can we gain from subpopulation universal pulses? A simulation-based study
    DOI: 10.1002/mrm.29884
  • 2023

    Journal article

    Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging
    DOI: 10.1186/s41747-023-00330-3
  • 2023

    Conference Proceedings

    Improving the robustness of independent component analysis for denoising multi-echo fMRI data
    DOI: 10.58530/2023/3471
  • 2023

    Conference Proceedings

    Quantitative Susceptibility of Subcortical Grey-Matter Regions in Early versus Refractory Focal Epilepsy
    DOI: 10.58530/2023/1007
  • 2023

    Conference Proceedings

    Efficient Use of Specific Absorption Rate Limits Through Sub-Population Universal Pulses in Parallel Transmission
    DOI: 10.58530/2023/4407

We acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated

Read about our commitment to reconciliation  

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia


View all Campus locations  
facebookIconlinkedinIconinstagramIcontwitterIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy  |  VaxFACTS

CRICOS number: 00116K     ABN: 84 002 705 224