Anthony Paproki

Queensland NIF Node Facility Fellow

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.

Related Publications

Effect of [68Ga]Ga-PSMA-11 PET-CT in the diagnosis of prostate cancer in men with equivocal or clinically high-risk non-suspicious findings on multiparametric MRI (PRIMARY2): a multicentre, non-inferiority, phase 3, randomised controlled trial

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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Population-based Brain Templates for Ultra-Low-Field MRI

Kh Tohidul Islam, Parisa Zakavi, Shenjun Zhong, Sanuwani Dayarathna, Himashi Peiris, Helen Kavnoudias, Yi Chao Foong, Anneke Van Der Walt, Juan F. Domínguez D, Karen Caeyenberghs, Gary F. Egan, Meng Law & Zhaolin Chen

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A comprehensive framework for automated segmentation of perivascular spaces in brain MRI with the nnU-Net

William Pham, Alexander Jarema, Donggyu Rim, Zhibin Chen, Mohamed Khlif, Vaughan Macefield, Luke Henderson & Amy Brodtmann

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Epileptogenic lesions in the Australian epilepsy project: A harmonized 3-T magnetic resonance imaging protocol and its diagnostic yield

David N. Vaughan, David F. Abbott, Amanda Anderson, Greg Fitt, Suyi Ooi, Heath Pardoe, Donna Parker, Yuliya Perchyonok, Eric Pierre, Chris Kokkinos, Robert E. Smith, Michael Stewart, Bahman Tahayori, Chris Tailby, Graeme D. Jackson, the Australian Epilepsy Project Investigators

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