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.
Dr Sicong Tu is excited about helping motor neurone disease (MND) patients gain a much better idea of their disease progression: “The focus of our network is on bridging the gap between leading Aust
28 May 2025
A new national-scale molecular-imaging network that aims to improve cancer imaging, dementia diagnosis and treatment, and new radiopharmaceuticals was launched Saturday at the annual meeting for Austr
26 May 2025
NIF at Herston Imaging Research Facility is supporting the development of an AI-enabled device to enhance the effectiveness of transcranial magnetic stimulation (TMS) therapy for major depressive diso
18 February 2025
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
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