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2025

Journal Article

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

Mehta, 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, 39 (12), 2121-2133. doi: 10.1111/jdv.20551

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

2025

Journal Article

Hierarchical skin lesion image classification with prototypical decision tree

Yu, 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

Hierarchical skin lesion image classification with prototypical decision tree

2024

Journal Article

Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition

Ju, Lie, Yu, Zhen, Wang, Lin, Zhao, Xin, Wang, Xin, Bonnington, Paul and Ge, Zongyuan (2024). Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. IEEE Transactions on Medical Imaging, 43 (1), 335-350. doi: 10.1109/tmi.2023.3302473

Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition

2021

Journal Article

Autonomous incident detection on spectrometers using deep convolutional models

Zhang, Xuelin, Zhang, Donghao, Leye, Alexander, Scott, Adrian, Visser, Luke, Ge, Zongyuan and Bonnington, Paul (2021). Autonomous incident detection on spectrometers using deep convolutional models. Sensors, 22 (1) 160, 1-18. doi: 10.3390/s22010160

Autonomous incident detection on spectrometers using deep convolutional models

2021

Journal Article

Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learning

Ju, 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

Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learning

2020

Journal Article

Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification

Gu, 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

Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification

2014

Journal Article

The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research

Goscinski, 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

The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research