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2025 Journal Article SCGC : Self-supervised contrastive graph clusteringKulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2025). SCGC : Self-supervised contrastive graph clustering. Neurocomputing, 611 128629, 128629. doi: 10.1016/j.neucom.2024.128629 |
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2024 Journal Article An automated and robust tool for musculoskeletal and finite element modeling of the knee jointEsrafilian, Amir, Chandra, Shekhar S, Gatti, Anthony A, Nissi, Mikko, Mustonen, Anne-Mari, Saisanen, Laura, Reijonen, Jusa, Nieminen, Petteri, Julkunen, Petro, Toyras, Juha, Saxby, David J, Lloyd, David G and Korhonen, Rami K (2024). An automated and robust tool for musculoskeletal and finite element modeling of the knee joint. IEEE Transactions on Biomedical Engineering, 1-13. doi: 10.1109/tbme.2024.3438272 |
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2024 Conference Publication Single image compressed sensing MRI via a self-supervised deep denoising approachBran Lorenzana, Marlon, Liu, Feng and Chandra, Shekhar S. (2024). Single image compressed sensing MRI via a self-supervised deep denoising approach. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/isbi56570.2024.10635749 |
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2024 Conference Publication A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion ClassificationNaranpanawa, Nathasha, Soyer, H. Peter, Mothershaw, Adam, Kulatilleke, Gayan K., Ge, Zongyuan, Betz-Stablein, Brigid and Chandra, Shekhar S. (2024). A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. IEEE. doi: 10.1109/isbi56570.2024.10635546 |
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2024 Journal Article Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma RiskNaranpanawa, Nathasha, Jayasinghe, Dilki, Sturm, Richard A., Betz-Stablein, Brigid, Janda, Monika, Eriksson, Anders, Soyer, H. Peter and Chandra, Shekhar S. (2024). Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk. Journal of Investigative Dermatology, 144 (11), 2602-2605.e4. doi: 10.1016/j.jid.2024.04.029 |
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2024 Journal Article Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variationsLeung, Sze-Nung, Chandra, Shekhar S., Lim, Karen, Young, Tony, Holloway, Lois and Dowling, Jason A. (2024). Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variations. Physical and Engineering Sciences in Medicine, 47 (3), 1-10. doi: 10.1007/s13246-024-01415-y |
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2024 Journal Article Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeWoo, 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 |
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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 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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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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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 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 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 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 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 |
