8 citations
- Queensland University of TechnologyAU6 papers
- The University of QueenslandAU5 papers
- Royal Brisbane and Women's HospitalAU3 papers
- Amsterdam University Medical CentersNL1 paper
- ARC Centre of Excellence in Advanced Molecular ImagingAU1 paper
- Cancer Center AmsterdamNL1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- Mater Health ServicesAU1 paper
- Medical University of GrazAT1 paper
- Medical University of ViennaAT1 paper
- National Imaging FacilityAU1 paper
- Siemens (Australia)AU1 paper
6 papers
Generation of synthetic CT images from optical scanning for superficial mold brachytherapy
Scott B. Crowe, Emily Simpson-Page, Jenna Luscombe +2
Optical 3D scanning systems allow the acquisition of accurate models of patient anatomy, suitable for use in the design of simple 3D-printable patient-matched medical devices with…
Magnetic resonance imaging assessment of the suitability and consistency of radiotherapy treatment positioning achieved using intra-oral stents
Tanya Kairn, Philip Chan, Benjamin Chua +7
As head-and-neck radiotherapy treatments grow more complex and precise, it becomes increasingly important to assess the anatomical separations that can be achieved using intra-oral…
Patient-specific immobilisation for radiotherapy treatment of extensive lower-limb carcinoma
Tanya Kairn, Tania Poroa, Jenna Luscombe +3
When non-melanoma skin cancers extend over large areas of skin, effective radiotherapy treatments can be delivered using volumetric modulated arc therapy (VMAT) beams with narrow s…
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
Daan Kuppens, Sebastiano Barbieri, Daisy van den Berg +4
Deep learning has proven to be a suitable alternative to least-squares (LSQ) fitting for parameter estimation in various quantitative MRI (QMRI) models. However, current deep learn…
NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Francesco Cognolato, Kieran O'Brien, Jin Jin +4
Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many curr…
An external field prior for the hidden Potts model, with application to cone-beam computed tomography
Matthew T. Moores, Catriona E. Hargrave, Fiona Harden +1
In images with low contrast-to-noise ratio (CNR), the information gain from the observed pixel values can be insufficient to distinguish foreground objects. A Bayesian approach to…