Overview
Background
my research interests are in the design of diagnostic medical devices and new applications for those devices
Prof Crozier is the director of Biomedical Engineering at UQ. He holds a higher doctorate in engineering for his work in improving the technology of imaging equipment. Stuart was elelcted as a fellow of the institute of physics (UK) in 2004 and hold many national and international grants relating to medical imaging and medical devices.
Availability
- Emeritus Professor Stuart Crozier is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor (Honours) of Engineering, Queensland University of Technology
- Masters (Coursework) of Applied Science, Queensland University of Technology
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Stuart Crozier’s works on UQ eSpace
2024
Conference Publication
Calibrated multi-frequency microwave tomography for clinical head imaging
Guo, L., Bialkowski, K., Cook, D., Crozier, S. and Abbosh, A. (2024). Calibrated multi-frequency microwave tomography for clinical head imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Florence, Italy, Piscataway, NJ, United States. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10685926
2024
Journal Article
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
Woo, Boyeong, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2024). Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. Medical Image Analysis, 93 103089, 103089. doi: 10.1016/j.media.2024.103089
2024
Journal Article
Clinical electromagnetic brain scanner
Abbosh, Amin, Bialkowski, Konstanty, Guo, Lei, Al-Saffar, Ahmed, Zamani, Ali, Trakic, Adnan, Brankovic, Aida, Bialkowski, Alina, Zhu, Guohun, Cook, David and Crozier, Stuart (2024). Clinical electromagnetic brain scanner. Scientific Reports, 14 (1) 5760, 1-16. doi: 10.1038/s41598-024-55360-7
2024
Journal Article
Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differences
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2024). Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differences. Journal of Orthopaedic Research, 42 (2), 385-394. doi: 10.1002/jor.25674
2023
Conference Publication
Manipulating medical image translation with manifold disentanglement
Liu, Siyu, Dowling, Jason A., Engstrom, Craig, Greer, Peter B., Crozier, Stuart and Chandra, Shekhar S. (2023). Manipulating medical image translation with manifold disentanglement. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, Australia, 28 November-1 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta60407.2023.00053
2023
Conference Publication
AF automatic classification based on different time-delay values of the recurrence plot
Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Xia, Ling, Crozier, Stuart, Xu, Wenlong and Liu, Feng (2023). AF automatic classification based on different time-delay values of the recurrence plot. 45th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Sydney, NSW Australia, 24-27 July 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EMBC40787.2023.10340928
2023
Journal Article
Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network
Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Zhang, Dongxia, Xia, Ling, Crozier, Stuart, Gan, Hongping, Zhao, Nan, Xu, Wenlong and Liu, Feng (2023). Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network. Frontiers in Physiology, 14 1070621, 1070621. doi: 10.3389/fphys.2023.1070621
2023
Conference Publication
Style-based manifold for weakly-supervised disease characteristic discovery
Liu, Siyu, Liu, Linfeng, Engstrom, Craig, To, Xuan Vinh, Ge, Zongyuan, Crozier, Stuart, Nasrallah, Fatima and Chandra, Shekhar S. (2023). Style-based manifold for weakly-supervised disease characteristic discovery. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8-12 October 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-43904-9_36
2023
Conference Publication
Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative
Woo, Boyeong, Bran Lorenzana, Marlon, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2023). Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative. Medical Imaging with Deep Learning, Nashville, TN, United States, 10-12 July 2023. Cambridge, MA, United States: ML Research Press.
2023
Conference Publication
Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative
Woo, Boyeong, Bran Lorenzanal, Marlon, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2023). Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative. 6th International Conference on Medical Imaging with Deep Learning (MIDL), Nashville, TN, United States, 10-12 July 2023. San Diego, CA, United States: JMLR-Journal of Machine Learning Research.
2023
Conference Publication
QSM from the raw phase using an end-to-end neural network
Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter, Vegh, Viktor, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2023). QSM from the raw phase using an end-to-end neural network. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/4740
2023
Conference Publication
Exposure of infants in baby gradient coils
Tang, Fangfang, Giaccone, Luca, Freschi, Fabio, Crozier, Stuart and Liu, Feng (2023). Exposure of infants in baby gradient coils. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA, United States: ISMRM. doi: 10.58530/2022/4372
2023
Journal Article
Brain injury localization and size estimation using electromagnetic symmetric crossing lines method
Zhu, Guohun, Bialkowski, Alina, Crozier, Stuart, Guo, Lei, Nguyen, Phong, Stancombe, Anthony and Abbosh, Amin (2023). Brain injury localization and size estimation using electromagnetic symmetric crossing lines method. IEEE Transactions on Instrumentation and Measurement, 72 2521011, 1-1. doi: 10.1109/tim.2023.3295014
2022
Other Outputs
Osteoarthritis Initiative (OAI) - UQ
Woo, Boyeong , Chandra, Shekhar S. , Engstrom, Craig and Crozier, Stuart (2022). Osteoarthritis Initiative (OAI) - UQ. The University of Queensland. (Dataset) doi: 10.48610/d8e13fb
2022
Journal Article
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks
Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter J., Vegh, Viktor, Nasrallah, Fatima, Winter, Craig, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2022). Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage, 259 119410, 1-13. doi: 10.1016/j.neuroimage.2022.119410
2022
Journal Article
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
Zhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. Zeitschrift fur Medizinische Physik, 33 (4), 578-590. doi: 10.1016/j.zemedi.2022.08.001
2022
Journal Article
CAN3D: Fast 3D medical image segmentation via compact context aggregation
Dai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Engstrom, Craig, Greer, Peter B., Crozier, Stuart, Dowling, Jason A. and Chandra, Shekhar S. (2022). CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Analysis, 82 102562, 1-17. doi: 10.1016/j.media.2022.102562
2022
Journal Article
Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning
Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Zhang, Dongxia, Xia, Ling, Zhao, Nan, Li, Sheng, Crozier, Stuart, Xu, Wenlong and Liu, Feng (2022). Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning. Frontiers in Physiology, 13 956320, 956320. doi: 10.3389/fphys.2022.956320
2022
Journal Article
Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapy
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapy. Arthroscopy, Sports Medicine, and Rehabilitation, 4 (4), e1353-e1362. doi: 10.1016/j.asmr.2022.04.020
2022
Journal Article
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning
Zhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning. Zeitschrift fur Medizinische Physik, 32 (2), 188-198. doi: 10.1016/j.zemedi.2021.06.004
Funding
Past funding
Supervision
Availability
- Emeritus Professor Stuart Crozier is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Improving Feature Extraction and Feature Interpretability for Deep Learning in Medical Image Analysis
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Manifold Learning for Magnetic Resonance Imaging
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
The design of metamaterial RF shield to reduce specific absorption rate and improve B1 efficiency for ultra-high field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
Doctor Philosophy
Deep Learning Applied to Medical Image Analysis
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Deployable and Explainable Deep Learning Architectures: Navigating Clinical Challenges in Medical Image Segmentation
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
Doctor Philosophy
Medical Shape Analysis of 3D MRI Segmentation with Deep Learning
Associate Advisor
Other advisors: Dr Shakes Chandra
-
Doctor Philosophy
Novel deep learning approaches to understanding human diseases
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Foundational models for visual recognition
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
Completed supervision
-
2019
Doctor Philosophy
Radiofrequency safety and shimming near metal hip prostheses at high and ultra-high field MRI
Principal Advisor
Other advisors: Professor Feng Liu, Professor Markus Barth
-
2017
Doctor Philosophy
Advanced modelling and optimization of gradient coils and their physical behaviour in traditional and paired MRI systems.
Principal Advisor
-
2017
Doctor Philosophy
Gradient Coil Design and Acoustic Noise Control in Magnetic Resonance Imaging Systems
Principal Advisor
Other advisors: Professor Feng Liu
-
2017
Doctor Philosophy
Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI
Principal Advisor
Other advisors: Associate Professor Craig Engstrom
-
2016
Doctor Philosophy
Focusing Microwave Hyperthermia in Realistic Environment for Breast Cancer Treatment
Principal Advisor
Other advisors: Professor Amin Abbosh
-
2015
Doctor Philosophy
The Development of Rotating Radiofrequency Techniques for Ultra-High Field Magnetic Resonance Imaging
Principal Advisor
Other advisors: Professor Feng Liu
-
2015
Doctor Philosophy
Automated Segmentation and Quantitative Analysis of the Hip Joint from Magnetic Resonance Images
Principal Advisor
Other advisors: Associate Professor Craig Engstrom
-
2014
Doctor Philosophy
Clinically based computerized analysis of magnetic resonance imaging of the spine
Principal Advisor
-
-
2012
Doctor Philosophy
Computer-assisted Dental Comparison for Forensic Identification of Human Remains
Principal Advisor
-
2012
Doctor Philosophy
Voxel-Based Analysis of High Angular Resolution Diffusion-Weighted Magnetic Resonance Images
Principal Advisor
-
2011
Doctor Philosophy
Transceive Phased-array Systems for Parallel MRI
Principal Advisor
Other advisors: Professor Feng Liu
-
2011
Master Philosophy
Thoracic electrical impedance model: Investigation into the contribution of ventricular blood volume to the impedance cardiogram.
Principal Advisor
Other advisors: Professor Feng Liu
-
2010
Doctor Philosophy
Exploration of Information in Recurrence Plots to Discriminate Human Heart Rate Variability
Principal Advisor
-
2008
Doctor Philosophy
Automatic Segmentation of the Kneebone and Cartliages
Principal Advisor
-
2008
Doctor Philosophy
Numerical Simulation Tools Design for Field Evaluation in Biomedical Engineering
Principal Advisor
-
2007
Doctor Philosophy
NUMERICAL MODELLING OF ELECTROMAGNETIC FIELD - MATERIAL INTERACTIONS IN MAGNETIC RESONANCE IMAGING
Principal Advisor
Other advisors: Professor Feng Liu
-
2006
Doctor Philosophy
MONITORING THE FLUID FLOW CHARACTERISTICS OF THE OVINE LUMBAR DISC USING MAGNETIC RESONANCE IMAGING AND FINITE ELEMENT ANAYLSIS
Principal Advisor
Other advisors: Professor Martin Veidt
-
2006
Doctor Philosophy
ELECTROMAGNETIC ANALYSIS AND DESIGN OF HIGH FREQUENCY COILS FOR MAGNETIC RERSONANCE
Principal Advisor
-
2006
Doctor Philosophy
THE DESIGN AND ANALYSIS OF HIGH FREQUENCY PHASED ARRAY COILS FOR MRI
Principal Advisor
Other advisors: Professor Graham Galloway
-
2015
Doctor Philosophy
Computer assisted detection and characterisation of breast cancer in MRI
Joint Principal Advisor
Other advisors: Dr Adnan Trakic
-
2008
Doctor Philosophy
High Performance Electromagnetic Computing for Biomedical Applications
Joint Principal Advisor
-
2024
Doctor Philosophy
Deployable and Interpretable Deep Learning Architectures: Navigating Clinical Challenges in Medical Image Segmentation
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
2024
Doctor Philosophy
Key Applications in Deep Learning Based Quantitative Susceptibility Mapping
Associate Advisor
Other advisors: Dr Hongfu Sun, Professor Feng Liu
-
2022
Doctor Philosophy
Automated Assessment of Cartilage Composition and Cam Morphology using Magnetic Resonance Images of the Hip Joint
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
2022
Doctor Philosophy
Improving deep learning-based fast MRI with pre-acquired image guidance
Associate Advisor
Other advisors: Dr Shakes Chandra, Professor Feng Liu
-
2022
Doctor Philosophy
Deep Learning-based Quantitative Susceptibility Mapping: Methods Development and Applications
Associate Advisor
Other advisors: Dr Hongfu Sun, Professor Feng Liu
-
2021
Doctor Philosophy
Correction of Magnetic Resonance Image Distortion due to Gradient Nonlinearity in the Australian MRI-Linac System
Associate Advisor
Other advisors: Professor Feng Liu
-
2020
Doctor Philosophy
Magnetic Resonance Based Electrical Properties Tomography in High/Ultra-High Field MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
2020
Doctor Philosophy
Incorporating advanced imaging into the treatment of brain tumours.
Associate Advisor
-
2020
Doctor Philosophy
Computer aided lesion detection, segmentation and characterization on mammography and breast MRI
Associate Advisor
Other advisors: Dr Shakes Chandra
-
2018
Doctor Philosophy
Frequency-Based Microwave Medical Imaging Techniques
Associate Advisor
Other advisors: Professor Amin Abbosh
-
2016
Doctor Philosophy
Gradient coil design and intra-coil eddy currents in MRI systems
Associate Advisor
Other advisors: Professor Feng Liu
-
2016
Doctor Philosophy
Improving the Image Quality in Compressed Sensing MRI by the Exploitation of Data Properties
Associate Advisor
Other advisors: Professor Feng Liu
-
2015
Master Philosophy
The Design of Radiofrequency Coils for a MRI-LINAC System
Associate Advisor
Other advisors: Professor Feng Liu
-
2014
Doctor Philosophy
Exploitation of Sparsity in Compressed Sensing MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
2014
Doctor Philosophy
Split-gradient coil design and analysis for hybrid MRI-involved system
Associate Advisor
Other advisors: Professor Feng Liu
-
2013
Doctor Philosophy
Computational Electromagnetics-tailored Inverse Solution to Radiofrequency Issues of High Field MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
-
2010
Doctor Philosophy
Computer Aided Analysis of Dynamic Contrast Enhanced MRI of Breast Cancer
Associate Advisor
-
2010
Doctor Philosophy
Analysis of Snore Sound Pitch and Total Airway Response in Obstructive Sleep Apnoea Hypopnoea Detection
Associate Advisor
Other advisors: Dr Udantha Abeyratne
-
2008
Doctor Philosophy
Radar Target Recognition based on Ultra Wideband Transient Electromagnetic Scattering
Associate Advisor
-
2005
Master Philosophy
PROCESSING OF SNORE RELATED SOUNDS FOR THE DIAGNOSIS OF OBSTRUCTIVE SLEEP APNOEA (OSA)
Associate Advisor
Other advisors: Dr Udantha Abeyratne
Media
Enquiries
Contact Emeritus Professor Stuart Crozier directly for media enquiries about:
- Bioelectromagnetics
- Biomedical engineering
- Magnetic Resonance Imaging (MRI)
- Magnetic resonance spectroscopy
- MRI
- RF engineering
- Spectroscopy - magnetic resonance
- Superconducting magnet design
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