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2024 Conference Publication Evidence-aware multi-modal data fusion and its application to total knee replacement predictionLiu, 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 |
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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 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. |
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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 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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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 |
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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. |
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2021 Conference Publication Can3d: Fast 3D knee mri segmentation via compact context aggregationDai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Tang, Fangfang, Crozier, Stuart, Engstrom, Craig and Chandra, Shekhar (2021). Can3d: Fast 3D knee mri segmentation via compact context aggregation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/isbi48211.2021.9433784 |
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2020 Conference Publication Supervised exercise programs to enhance the health and well-being of medical students: a 12 month progress report of a cross-faculty student service programHume, Emily, Barry, Benjamin and Engstrom, Craig (2020). Supervised exercise programs to enhance the health and well-being of medical students: a 12 month progress report of a cross-faculty student service program. ANZAHPE 2020 Conference, Melbourne, QLD Australia, 12-15 July 2020. Melbourne, VIC Australia: Australian & New Zealand Association for Health Professional Educators. |
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2020 Conference Publication Fast high dynamic range MRI by Contrast Enhancement NetworksMarques, Matthew, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2020). Fast high dynamic range MRI by Contrast Enhancement Networks. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, United States, 3-7 April 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/isbi45749.2020.9098373 |
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2019 Conference Publication Supervised exercise programs to enhance the health and well-being of medical students: a cross-faculty student service programBarry, Benjamin K. , Frawley, Emily , Crabb, Meagan , Steele, Megan , Jansen, Pieter and Engstrom, Craig (2019). Supervised exercise programs to enhance the health and well-being of medical students: a cross-faculty student service program. ANZAHPE 2019 Conference, Canberra, ACT Australia, 1-4 July 2019. Canberra, ACT Australia: Australian & New Zealand Association for Health Professional Educators. |
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2017 Conference Publication Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networksXia, Ying, Manjón, Jose V., Engstrom, Craig, Crozier, Stuart, Salvado, Olivier and Fripp, Jurgen (2017). Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks. International Symposium on Biomedical Imaging, Melbourne, VIC, Australia, 18-21 April 2017. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ISBI.2017.7950701 |
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2016 Conference Publication Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: data from the osteoarthritis initiativePaproki, Anthony, Wilson, Katharine J., Surowiec, Rachel K., Ho, Charles P., Pant, Abinash, Bourgeat, Pierrick, Engstrom, Craig, Crozier, Stuart and Fripp, Jurgen (2016). Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: data from the osteoarthritis initiative. IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13-16 April 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISBI.2016.7493298 |
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2016 Conference Publication Automated intervertebral disc segmentation using probabilistic shape estimation and active shape modelsNeubert, Aleš, Fripp, Jurgen, Chandra, Shekhar S., Engstrom, Craig and Crozier, Stuart (2016). Automated intervertebral disc segmentation using probabilistic shape estimation and active shape models. Third International Workshop and Challenge, CSI 2015, Munich, Germany, 5 October 2015. Switzerland: Springer. doi: 10.1007/978-3-319-41827-8_15 |
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2016 Conference Publication Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiativeNeubert, Ales, Naser, Ibrahim, Paproki, Anthony, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2016). Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13-16 April, 2016. Piscataway, United States: IEEE Operations Center. doi: 10.1109/ISBI.2016.7493406 |
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2015 Conference Publication Shape reconstruction using EM-ICP mesh registration and robust statistical shape modelsNeubert, Ales, Chandra, Shekhar S., Engstrom, Craig, Fripp, Jurgen and Crozier, Stuart (2015). Shape reconstruction using EM-ICP mesh registration and robust statistical shape models. Symposium on Statistical Shape Models Applications, Delemont, Switzerland, 30 September - 2 October, 2015. |
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2014 Conference Publication Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape ModelsYang, Zhengyi, Fripp, Jurgen, Engstrom, Craig, Chandra, Shekhar, Xia, Ying, Paproki, Anthony, Strudwick, Mark, Neubert, Ales and Crozier, Stuart (2014). Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape Models. 2014 – Joint Annual Meeting ISMRM-ESMRMB, 22nd Scientific Meeting and Exhibition, Milan, Italy, 10-16 May 2014. Berkeley, CA United States: International Society for Magnetic Resonance in Medicine. |
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2014 Conference Publication Segmentation of lumbar intervertebral discs from high-resolution 3D MR images using multi-level statistical shape modelsNeubert, Aleš, Fripp, Jurgen, Engstrom, Craig and Crozier, Stuart (2014). Segmentation of lumbar intervertebral discs from high-resolution 3D MR images using multi-level statistical shape models. 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Nagoya, Japan, 22-26 September 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-07269-2_15 |
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2013 Conference Publication Automatic quantification of 3D morphology and appearance of intervertebral discs in high resolution MRINeubert, Ales, Fripp, Jurgen, Engstrom, Craig, Walker, Duncan, Schwarz, Raphael and Crozier, Stuart (2013). Automatic quantification of 3D morphology and appearance of intervertebral discs in high resolution MRI. International Society for Magnetic Resonance in Medicine, 21st Annual Meeting and Exhibition, Salt Lake City, UT, United States, 20-26 April 2013. New York, NY, United States: International Society of Magnetic Resonance in Medicine. |
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2013 Conference Publication Enhancing feedback provision and use through in situ audio commentingColthorpe, K. L., Zimbardi, K., Dekker, A., Hay, P., Engstrom, C., Bugarcic, A., Long, P., Lluka, L. J., Chunduri, P., Worthy, P. and Marrington, J. (2013). Enhancing feedback provision and use through in situ audio commenting. IUPS 2013: International Union of Physiological Societies XXXVII Congress, Birmingham, UK, 21-26 July, 2013. Oxford, UK: London Physiological Society. |
