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2025 Journal Article Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosisMehta, Deval, Primiero, Clare, Betz‐Stablein, Brigid, Nguyen, Toan D., Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H. Peter and Ge, Zongyuan (2025). Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis. Journal of the European Academy of Dermatology and Venereology. doi: 10.1111/jdv.20551 |
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2025 Journal Article Hierarchical skin lesion image classification with prototypical decision treeYu, Zhen, Nguyen, Toan D., Ju, Lie, Gal, Yaniv, Sashindranath, Maithili, Bonnington, Paul, Zhang, Lei, Mar, Victoria and Ge, Zongyuan (2025). Hierarchical skin lesion image classification with prototypical decision tree. npj Digital Medicine, 8 (1) 26, 1-15. doi: 10.1038/s41746-024-01395-z |
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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 |
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2021 Journal Article Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learningJu, Lie, Wang, Xin, Zhao, Xin, Lu, Huimin, Mahapatra, Dwarikanath, Bonnington, Paul and Ge, Zongyuan (2021). Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learning. IEEE Journal of Biomedical and Health Informatics, 25 (10), 3709-3720. doi: 10.1109/jbhi.2021.3052916 |
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2021 Conference Publication End-to-end ugly duckling sign detection for melanoma identification with transformersYu, Zhen, Mar, Victoria, Eriksson, Anders, Chandra, Shakes, Bonnington, Paul, Zhang, Lei and Ge, Zongyuan (2021). End-to-end ugly duckling sign detection for melanoma identification with transformers. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Strasbourg, France, 27 September-1 October 2021. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-87234-2_17 |
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2020 Journal Article Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classificationGu, Yanyang, Ge, Zongyuan, Bonnington, C. Paul and Zhou, Jun (2020). Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification. IEEE Journal of Biomedical and Health Informatics, 24 (5) 8846038, 1379-1393. doi: 10.1109/jbhi.2019.2942429 |
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2014 Journal Article The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics researchGoscinski, Wojtek J., McIntosh, Paul, Felzmann, Ulrich, Maksimenko, Anton, Hall, Christopher J., Gureyev, Timur, Thompson, Darren, Janke, Andrew, Galloway, Graham, Killeen, Neil E. B., Raniga, Parnesh, Kaluza, Owen, Ng, Amanda, Poudel, Govinda, Barnes, David G., Nguyen, Toan, Bonnington, Paul and Egan, Gary F. (2014). The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research. Frontiers in Neuroinformatics, 8 (30) 30, 1-13. doi: 10.3389/fninf.2014.00030 |
