Michael Greenprofile image

Michael Green

Current Appointments

Senior Research Fellow
NIF Facilitation Fellow

Key Research Areas

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Michael Green is a physicist and has been working in MRI for 10 years. Graduating from Flinders University with a PhD in electron scattering, he worked at Williams College, MA, USA in laser spectroscopy before joining NeuRA working on brain elastography in Lynne Bilston’s laboratory. Michael was appointed a senior research officer and has been a NIF Facilitation Fellow since 2009, working in the Rae Group coordinating other MRI research projects and specialising in MR diffusion analysis.


2022 Oct

Neuroanatomical correlates of social approach in Williams Syndrome and down syndrome

View full journal-article on http://dx.doi.org/10.1016/j.neuropsychologia.2022.108366

2022 Sep

Quality Output Checklist and Content Assessment (QuOCCA): a new tool for assessing research quality and reproducibility

View full journal-article on http://dx.doi.org/10.1136/bmjopen-2022-060976

2022 Apr

Brain mitochondrial dysfunction and driving simulator performance in untreated obstructive sleep apnea

View full journal-article on https://doi.org/10.1111/jsr.13482


An Objective Short Sleep Insomnia Disorder Subtype Is Associated With Reduced Brain Metabolite Concentrations In Vivo: A Preliminary Magnetic Resonance Spectroscopy Assessment

View full journal-article on http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000417043000008&KeyUID=WOS:000417043000008


Erratum to: White matter measures are near normal in controlled HIV infection except in those with cognitive impairment and longer HIV duration.


White matter measures are near normal in controlled HIV infection except in those with cognitive impairment and longer HIV duration


Diffusion tensor imaging enhanced anisotropic MRE of the brain


Measuring anisotropic muscle stiffness properties using elastography


Combining MR elastography and diffusion tensor imaging for the assessment of anisotropic mechanical properties: A phantom study


Combining rheometry and elastography to understand large deformation soft tissue properties

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