Overview
Availability
- Professor Paul Bonnington is:
- Not available for supervision
Works
Search Professor Paul Bonnington’s works on UQ eSpace
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. doi: 10.1111/jdv.20551
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
2022
Conference Publication
Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings
Yu, 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
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
2021
Conference Publication
End-to-end ugly duckling sign detection for melanoma identification with transformers
Yu, 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
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
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
Media
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