2023 Journal Article Non-separable two-dimensional Hadamard transform via a discrete Hadamard slice theoremLorenzana, 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 |
2023 Conference Publication Medical shape pattern analysis with MeshCNNLeung, 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 |
2023 Journal Article An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRIMoinian, 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 |
2023 Journal Article Cascaded multi-modal mixing transformers for Alzheimer’s disease classification with incomplete dataLiu, 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 |
2023 Conference Publication Towards trustable skin cancer diagnosis via rewriting model's decisionYan, 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 |
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 TBINasrallah, 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 |
2023 Conference Publication Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis InitiativeWoo, 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 Style-based manifold for weakly-supervised disease characteristic discoveryLiu, 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 InitiativeWoo, 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. |
2022 Other Outputs Osteoarthritis Initiative (OAI) - UQWoo, Boyeong , Chandra, Shekhar S. , Engstrom, Craig and Crozier, Stuart (2022). Osteoarthritis Initiative (OAI) - UQ. The University of Queensland. (Dataset) doi: 10.48610/d8e13fb |
2022 Conference Publication Transformer compressed sensing via global image tokensBran 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 |
2022 Conference Publication Skin lesion recognition with class-hierarchy regularized hyperbolic embeddingsYu, 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 |
2022 Journal Article CAN3D: Fast 3D medical image segmentation via compact context aggregationDai, 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 Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapyBugeja, 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 neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN ruleEllethy, 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 |
2022 Conference Publication Undersampled MRI reconstruction with side information-guided normalisationLiu, 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 |
2022 Conference Publication FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityKulatilleke, 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 |
2022 Journal Article Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance imagesBugeja, 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 |
2022 Conference Publication Anomaly-aware 3D segmentation of knee magnetic resonance imagesWoo, 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. |
2021 Conference Publication Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanomaNaranpanawa, 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 |