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.
Long-term NIF user and collaborator, AdvanCell has secured $112m in Series C funding supported by Sanofi Ventures to advance its targeted alpha therapy for metastatic prostate cancer.
03 February 2025
New FDA-approved software, Chondral Quant, developed through a collaboration between The University of Queensland, Siemens Healthineers, and CSIRO, and supported by NIF’s ultra-high field MRI im
09 December 2024
There is currently no definitive way to track and predict the progression of motor neurone disease (MND). Dr Thomas Shaw from UQ School of Electrical Engineering and Computer Science is exploring inno
15 November 2024
“You walk in, and in less than a second, your total body is imaged…
05 September 2024
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