S
Stuart Crozier
Researcher at University of Queensland
Publications - 579
Citations - 9808
Stuart Crozier is an academic researcher from University of Queensland. The author has contributed to research in topics: Electromagnetic coil & Magnet. The author has an hindex of 44, co-authored 568 publications receiving 8713 citations. Previous affiliations of Stuart Crozier include Queensland University of Technology & Information Technology University.
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Journal ArticleDOI
Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images.
David Raffelt,Jacques-Donald Tournier,Stephen E. Rose,Gerard R. Ridgway,Robert D. Henderson,Stuart Crozier,Olivier Salvado,Alan Connelly +7 more
TL;DR: This article presents and evaluates a novel method to modulate the FOD to account for changes in fibre bundle cross-sectional area that occur during spatial normalisation, and describes a novel approach for statistical analysis of AFD that uses cluster-based inference of differences extended throughout space and orientation.
Journal ArticleDOI
The Australian magnetic resonance imaging–linac program
TL;DR: The Australian magnetic resonance imaging (MRI)-Linac program is a $16-million government-funded project to advance the science and clinical practice of exquisite real-time anatomical and physiological adaptive cancer therapy.
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Symmetric diffeomorphic registration of fibre orientation distributions
David Raffelt,Jacques-Donald Tournier,Jurgen Fripp,Stuart Crozier,Alan Connelly,Olivier Salvado +5 more
TL;DR: This work suggests that using crossing fibre information aids in the alignment of white matter and could therefore benefit several methods for investigating population differences in white matter, including voxel based analysis, tensor based morphometry, atlas based segmentation and labelling, and group average fibre tractography.
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Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee
TL;DR: A segmentation scheme that automatically and accurately segments all the cartilages from magnetic resonance (MR) images of nonpathological knees and is compared to three state of the art approaches, tissue classification, a modified semi-automatic watershed algorithm and nonrigid registration.
Journal ArticleDOI
Gradient-Coil Design by Simulated Annealing
Stuart Crozier,David M. Doddrell +1 more