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2023

Journal Article

Non-separable two-dimensional Hadamard transform via a discrete Hadamard slice theorem

Lorenzana, Marlon Bran and Chandra, Shekhar S. (2023). Non-separable two-dimensional Hadamard transform via a discrete Hadamard slice theorem. IEEE Signal Processing Letters, 30 (99), 1237-1241. doi: 10.1109/lsp.2023.3311349

Non-separable two-dimensional Hadamard transform via a discrete Hadamard slice theorem

2023

Conference Publication

Medical shape pattern analysis with MeshCNN

Leung, Sze-Nung, Dowling, Jason A., Fripp, Jurgen, Shen, Kai-Kai and Chandra, Shekhar S. (2023). Medical shape pattern analysis with MeshCNN. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 18-21 April 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi53787.2023.10230427

Medical shape pattern analysis with MeshCNN

2023

Journal Article

An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI

Moinian, Shahrzad, Kurniawan, Nyoman D., Chandra, Shekhar S., Vegh, Viktor and Reutens, David C. (2023). An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI. Intelligence-Based Medicine, 8 100108, 1-15. doi: 10.1016/j.ibmed.2023.100108

An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI

2023

Journal Article

Cascaded multi-modal mixing transformers for Alzheimer’s disease classification with incomplete data

Liu, Linfeng, Liu, Siyu, Zhang, Lu, To, Xuan Vinh, Nasrallah, Fatima and Chandra, Shekhar S. (2023). Cascaded multi-modal mixing transformers for Alzheimer’s disease classification with incomplete data. NeuroImage, 277 120267, 120267. doi: 10.1016/j.neuroimage.2023.120267

Cascaded multi-modal mixing transformers for Alzheimer’s disease classification with incomplete data

2023

Conference Publication

Towards trustable skin cancer diagnosis via rewriting model's decision

Yan, Siyuan, Yu, Zhen, Zhang, Xuelin, Mahapatra, Dwarikanath, Chandra, Shekhar S., Janda, Monika, Soyer, Peter and Ge, Zongyuan (2023). Towards trustable skin cancer diagnosis via rewriting model's decision. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/cvpr52729.2023.01113

Towards trustable skin cancer diagnosis via rewriting model's decision

2023

Journal Article

PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI

Nasrallah, Fatima, Bellapart, Judith, Walsham, James, Jacobson, Esther, To, Xuan Vinh, Manzanero, Silvia, Brown, Nathan, Meyer, Jason, Stuart, Janine, Evans, Tracey, Chandra, Shekhar S., Ross, Jason, Campbell, Lewis, Senthuran, Siva, Newcombe, Virginia, McCullough, James, Fleming, Jennifer, Pollard, Clifford and Reade, Michael (2023). PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI. BMJ Open, 13 (4) e067740, 1-9. doi: 10.1136/bmjopen-2022-067740

PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI

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

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

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

Conference Publication

Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings

Yu, Zhen, Nguyen, Toan, Gal, Yaniv, Ju, Lie, Chandra, Shekhar S., Zhang, Lei, Bonnington, Paul, Mar, Victoria, Wang, Zhiyong and Ge, Zongyuan (2022). Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Singapore, 18-22 September 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-16437-8_57

Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings

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

Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule

Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2022). Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule. Journal of the American College of Radiology, 19 (6), 769-778. doi: 10.1016/j.jacr.2022.02.024

Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule

2022

Conference Publication

Undersampled MRI reconstruction with side information-guided normalisation

Liu, Xinwen, Wang, Jing, Peng, Cheng, Chandra, Shekhar S., Liu, Feng and Zhou, S. Kevin (2022). Undersampled MRI reconstruction with side information-guided normalisation. Medical Image Computing and Computer Assisted Intervention – MICCAI, Singapore, Singapore, 18-22 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-16446-0_31

Undersampled MRI reconstruction with side information-guided normalisation

2022

Conference Publication

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity

Kulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity

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

Conference Publication

Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma

Naranpanawa, D. Nathasha U., Gu, Yanyang, Chandra, Shekhar S., Betz-Stablein, Brigid, Sturm, Richard A., Soyer, H. Peter and Eriksson, Anders P. (2021). Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma. Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, Australia, 29 November - 1 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta52665.2021.9647150

Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma