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2013

Journal Article

Automated bone segmentation from large field of view 3D MR images of the hip joint

Xia, Ying, Fripp, Jurgen, Chandra, Shekhar S., Schwarz, Raphael, Engstrom, Craig and Crozier, Stuart (2013). Automated bone segmentation from large field of view 3D MR images of the hip joint. Physics in Medicine and Biology, 58 (20), 7375-7390. doi: 10.1088/0031-9155/58/20/7375

Automated bone segmentation from large field of view 3D MR images of the hip joint

2013

Journal Article

Promoting assessment efficacy through an integrated system for online clinical assessment of practical skills

Hay, Peter J., Engstrom, Craig, Green, Anita, Friis, Peter, Dickens, Sue and Macdonald, Doune (2013). Promoting assessment efficacy through an integrated system for online clinical assessment of practical skills. Assessment and Evaluation in Higher Education, 38 (5), 520-535. doi: 10.1080/02602938.2012.658019

Promoting assessment efficacy through an integrated system for online clinical assessment of practical skills

2011

Journal Article

Segmentation of the quadratus lumborum muscle using statistical shape modeling

Engstrom, Craig M., Fripp, Jurgen, Jurcak, Valer, Walker, Duncan G., Salvado, Olivier and Crozier, Stuart (2011). Segmentation of the quadratus lumborum muscle using statistical shape modeling. Journal of Magnetic Resonance Imaging, 33 (6), 1422-1429. doi: 10.1002/jmri.22188

Segmentation of the quadratus lumborum muscle using statistical shape modeling

2007

Journal Article

Quadratus lumborum asymmetry and L4 Pars injury in fast bowlers: A prospective MR study

Engstrom, C. M., Walker, D. G., Kippers, V. and Mehnert, A. J. H. (2007). Quadratus lumborum asymmetry and L4 Pars injury in fast bowlers: A prospective MR study. Medicine and Science in Sports and Exercise, 39 (6), 910-917. doi: 10.1249/mss.0b013e3180408e25

Quadratus lumborum asymmetry and L4 Pars injury in fast bowlers: A prospective MR study

Featured

2007

Journal Article

Pars interarticularis stress lesions in the lumbar spine of cricket fast bowlers

Engstrom, C. M. and Walker, D. G. (2007). Pars interarticularis stress lesions in the lumbar spine of cricket fast bowlers. Medicine and Science in Sports and Exercise, 39 (1), 28-33. doi: 10.1249/01.mss.0000241642.82725.ac

Pars interarticularis stress lesions in the lumbar spine of cricket fast bowlers

2025

Journal Article

Hybrid discrete and finite element analysis enables fast evaluation of hip joint cartilage mechanical response

Venäläinen, Mikko S., Li, Mao, Töyräs, Juha, Korhonen, Rami K., Fripp, Jurgen, Crozier, Stuart, Chandra, Shekhar S. and Engstrom, Craig (2025). Hybrid discrete and finite element analysis enables fast evaluation of hip joint cartilage mechanical response. Journal of Biomechanics, 182 112568, 1-6. doi: 10.1016/j.jbiomech.2025.112568

Hybrid discrete and finite element analysis enables fast evaluation of hip joint cartilage mechanical response

2024

Conference Publication

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction

Liu, Xinwen, Wang, Jing, Zhou, S. Kevin, Engstrom, Craig and Chandra, Shekhar S. (2024). Evidence-aware multi-modal data fusion and its application to total knee replacement prediction. 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Perth, Australia, 27-29 November 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta63115.2024.00042

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction

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

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

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

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

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

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

Conference Publication

Transformer compressed sensing via global image tokens

Bran Lorenzana, Marlon, Engstrom, Craig and Chandra, Shekhar S. (2022). Transformer compressed sensing via global image tokens. 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16-19 October 2022. Piscataway, NJ, United States: IEEE. doi: 10.1109/icip46576.2022.9897630

Transformer compressed sensing via global image tokens

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

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

Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images

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 volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 12 (10), 4941. doi: 10.21037/qims-22-332

Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images

2022

Conference Publication

Anomaly-aware 3D segmentation of knee magnetic resonance images

Woo, Boyeong, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2022). Anomaly-aware 3D segmentation of knee magnetic resonance images. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, 6-8 July 2022. Cambridge, MA United States: ML Research Press.

Anomaly-aware 3D segmentation of knee magnetic resonance images

2021

Journal Article

Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations

Bugeja, Jessica M., Chandra, Shekhar S., Neubert, Aleš, Fripp, Jurgen, Lockard, Carly A., Ho, Charles P., Crozier, Stuart and Engstrom, Craig (2021). Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations. Magnetic Resonance Imaging, 82, 42-54. doi: 10.1016/j.mri.2021.06.008

Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations