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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

Calibrated multi-frequency microwave tomography for clinical head imaging

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. doi: 10.1016/j.media.2024.103089

Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative

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

Clinical electromagnetic brain scanner

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

Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differences

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

Manipulating medical image translation with manifold disentanglement

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

AF automatic classification based on different time-delay values of the recurrence plot

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

Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

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

QSM from the raw phase using an end-to-end neural network

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

Exposure of infants in baby gradient coils

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

Brain injury localization and size estimation using electromagnetic symmetric crossing lines method

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

Style-based manifold for weakly-supervised disease characteristic discovery

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.

Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative

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.

Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative

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

Osteoarthritis Initiative (OAI) - UQ

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

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

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

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

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

CAN3D: Fast 3D medical image segmentation via compact context aggregation

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

Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning

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

Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapy

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

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning