Event: Medical Imaging Research Symposium

The event, taking place on November 15, will showcase new developments in medical imaging analytics research.


The Australian Centre for Quantitative Imaging (ACQI) is organising a one-day event to highlight current research conducted in WA in the fields of medical imaging analytics spanning clinical and pre-clinical research through to clinical translation and commercialisation.

Some of the presentations that will take place at this event include:

  • The new WANIF human imaging research facility
    Prof Paul Parizel, David Hartley Chair in Radiology, UWA Medical School
  • Translating computational approaches to cardiac imaging – experience in creating Artrya
    Prof Girish Dwivedi, Wesfarmers Chair in Cardiology, University of Western Australia; Artrya Ltd
  • Epileptic seizure onset zone localisation
    Prof Karol Miller, Director of Intelligent Systems for Medicine Laboratory, UWA.
  • Exercise as adjunct therapy to increase effectiveness of cancer treatment
    Oliver Schumacher, Associate Research Fellow, Exercise Medicine Research Institute
  • Developing & Commercialising AI in Radiology: real world examples
    Sherief Khorshid, Founder, Three Springs Technology

The event will also hold various workshops, including:

  • Planning clinical trials to employ imaging analytics
    Prof Martin Ebert, Director of Physics Research, Radiation Oncology SCGH
  • Quantitative Image Basics – Processing and Radiomics introduction
    Nathaniel Barry, PhD Student, University of Western Australia
  • Machine Learning: Introduction, pitfalls, and important considerations
    Jake Kendrick, PhD Student, University of Western Australia

Event details

  • Date: Monday, November 15 2021
  • Time: 9:00 am – 1:00 pm AWST
  • Location: The Harry Perkins Institute of Medical Research – McCusker Auditorium, 6 Verdun Street, Nedlands, WA 6009
  • Catering: Morning tea and lunch will be provided.

Can’t attend in person? The event will be broadcast for remote attendance. To attend the event virtually:

  • Go to:
  • Meeting ID: 812 3230 4175
  • Passcode: 329466