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2018 ASM / R-0041
Wiley-Blackwell Best Exhibit Award, Radiology
A six-year Australian and New Zealand experience of artificial intelligence techniques applied to MRI liver data – tricks and traps
Congress: 2018 ASM
Poster No.: R-0041
Type: Educational Exhibit
Keywords: Computer Applications-Detection, diagnosis, Neural networks, Computer applications, Image verification
Authors: M. Blake1, T. Cooper2, S. Khorshid1, T. St Pierre1; 1WA/AU, 2NZ
DOI:10.1594/ranzcr2018/R-0041

Personal information

 

Martin Blake: MBBS, FRANZCR, FAANMS, MBA, FAICD

 

Martin is a Radiologist and Nuclear Medicine Specialist, with 30 years medical imaging experience and has been a partner of Perth Radiological Clinic since 1997 and Chairman since 2009. He has also been a non-executive director of Resonance Health (ASX:RHT) since 2007 and Chairman since 2012.

 

 

Tony Cooper: BSc (Hons), MS (Statistics)

 

Tony is a Data Scientist and is a founder of Precision AI which provides artificial intelligence solutions to European and Australasian industry. He has a distinguished academic record from Stanford University and 25 years industrial and scientific experience in data science.

 

 

Sherief Khorshid: BSc

 

Sherief is a Data Scientist and Founder of Three Springs Technology, an Artificial Intelligence consulting business. Sherief has 20 years commercial experience primarily in finance technology and AI.  He is also an active member of Perth's Machine Learning community.

 

 

Tim St Pierre: BSc (Hons), PhD

 

Tim is a widely published Medical Physicist in the Department of Physics, University of Western Australia. He led the team that developed the non-invasive liver iron measurement technology FerriScan® and has also developed technologies for measurement of liver fat and detection of parasites in human blood, faeces and urine.

 

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