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2024 Journal Article Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differencesBugeja, 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 |
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2024 Journal Article GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotypingJames, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S. and Chapman, Scott C. (2024). GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Computers and Electronics in Agriculture, 217 108485, 108485. doi: 10.1016/j.compag.2023.108485 |
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2024 Journal Article Multi-modal traumatic brain injury prognosis via structure-aware field-wise learningZhang, Lu, Li, Zhibin, Chandra, Shekhar S. and Nasrallah, Fatima (2024). Multi-modal traumatic brain injury prognosis via structure-aware field-wise learning. IEEE Transactions on Knowledge and Data Engineering, 36 (8), 1-12. doi: 10.1109/tkde.2024.3364385 |
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2024 Conference Publication Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosisEllethy, Hanem, Vegh, Viktor and Chandra, Shekhar S. (2024). Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November – 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_39 |
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2024 Other Outputs Pigmented Iris Freckle Data Naranpanawa, Nathasha, Chandra, Shekhar S. and Sturm, Richard A. (2024). Pigmented Iris Freckle Data . The University of Queensland. (Dataset) doi: 10.48610/355ad45 |
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2024 Conference Publication An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correctionMoinian, Shahrzad, Kurniawan, Nyoman, Chandra, Shekhar, Vegh, Viktor and Reutens, David (2024). An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction. 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, ON, Canada, 3-8 June 2023. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2023/4915 |
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2024 Journal Article AliasNet: Alias artefact suppression network for accelerated phase-encode MRIBran Lorenzana, Marlon, Chandra, Shekhar S. and Liu, Feng (2024). AliasNet: Alias artefact suppression network for accelerated phase-encode MRI. Magnetic Resonance Imaging, 105, 17-28. doi: 10.1016/j.mri.2023.10.001 |
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2023 Journal Article Efficient block contrastive learning via parameter-free meta-node approximationKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850, 126850. doi: 10.1016/j.neucom.2023.126850 |
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2023 Conference Publication Suspicious naevi classification using auxiliary classifier generative adversarial networkZegair, Fatima Al, Rutjes, Chantal, Betz-Stablein, Brigid, Ge, Zongyuan, Soyer, H. Peter and Chandra, Shekhar S. (2023). Suspicious naevi classification using auxiliary classifier generative adversarial network. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta60407.2023.00041 |
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2023 Conference Publication Manipulating medical image translation with manifold disentanglementLiu, 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 |
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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 |
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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 |
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2023 Conference Publication TriFormer: A multi-modal transformer framework for mild cognitive impairment conversion predictionLiu, Linfeng, Lyu, Junyan, Liu, Siyu, Tang, Xiaoying, Chandra, Shekhar S. and Nasrallah, Fatima A. (2023). TriFormer: A multi-modal transformer framework for mild cognitive impairment conversion prediction. 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/isbi53787.2023.10230709 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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. |
