Dr. Anthony Paproki completed a Master’s degree in Computer Science at the University of Technology of Belfort Montbéliard in 2011 and subsequently earned a PhD in Biomedical Imaging from the University of Queensland in 2016. His research focuses on developing advanced medical imaging algorithms, particularly for the automated segmentation and quantitative analysis of MRI data. During his PhD, Dr. Paproki developed deformable-model based algorithms for the segmentation and analysis of knee menisci in clinical and research MRI. His post-doctoral fellowship with the CSIRO furthered his expertise in medical image informatics, where he optimized MRI protocols for assessing lung disease in children with cystic fibrosis and ataxia-telangiectasia. He currently focuses on providing support for the development and application of AI for medical image analysis.
Researchers developed an anti-inflammatory drug that slows the progression of Parkinson’s disease, with their NIF-supported study published in April. For the first time, researchers also used advanc
17 June 2026
NIF is delighted to congratulate its long-term partner, the Australian Epilepsy Project (AEP), on securing $30 million in Australian Government funding through the Medical Research Future Fund. The pr
28 May 2026
The University of Melbourne officially launched a cutting-edge instrument to capture high temporal resolution brain activity in a new facility that is the first of its kind in the southern hemisphere.
08 May 2026
Queenslanders will benefit from faster, sharper and more precise medical imaging with the launch of one of the world’s most advanced MRI scanners at the Herston Imaging Research Facility (HIRF) in B
20 April 2026
James P Buteau MD, Daniel Moon MBBS, Michael T Fahey PhD, Matthew J Roberts PhD, Narjess Ayati MD, Nathan Papa PhD, Prof Declan G Murphy MBBCh, Prof Veeru Kasivisvanathan PhD, Prof Haryana M Dhillon PhD, Yang T Du MBBS, Philip Dundee FRACS, Jessica Foudoulis MHIM, David Hennes MD, Anthony C Hutton FRACS, Jordan Idiare MBBS, Greg Jack FRACS, Sheshang Kamath FRACS, Sophie N Lee PhD, Su-Faye Lee FRANZC, Prof Sze Ting Lee PhD, Alex Zheng
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