Researcher Profiles

Yuanhong Chen

Higher Degree by Research Candidate

School of Computer Science

Faculty of Sciences, Engineering and Technology

Publications
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Journals

Year	Citation
2022	Chen, Y., Wang, H., Wang, C., Tian, Y., Liu, F., Liu, Y., . . . Carneiro, G. (2022). Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13433 LNCS, 3-13. DOI
	Chen, Y., Liu, F., Tian, Y., Liu, Y., & Carneiro, G. (n.d.). Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification.

Conference Papers

Year	Citation
2022	Tian, Y., Pang, G., Liu, F., Liu, Y., Wang, C., Chen, Y., . . . Carneiro, G. (2022). Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 88-98). Singapore: Springer Link. DOI
2022	Liu, F., Chen, Y., Tian, Y., Liu, Y., Wang, C., Belagiannis, V., & Carneiro, G. (2022). NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 544-553). Singapore: Springer. DOI
2022	Wang, C., Chen, Y., Liu, Y., Tian, Y., Liu, F., McCarthy, D. J., . . . Carneiro, G. (2022). Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. In Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), as published in Lecture Notes in Computer Science Vol. 13433 (pp. 14-24). Singapore: Springer. DOI
2021	Tian, Y., Pang, G., Chen, Y., Singh, R., Verjans, J. W., & Carneiro, G. (2021). Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2021) Vol. abs/2101.10030 (pp. 4955-4966). virtual online: IEEE. DOI Scopus16 WoS6
2021	Tian, Y., Pang, G., Liu, F., Chen, Y., Shin, S. -H., Verjans, J. W., . . . Carneiro, G. (2021). Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. In Proceedings of the 24th Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), as publisghed in Lecture Notes in Computer Science Vol. 12905 (pp. 128-140). Cham, Switzerland: Springer. DOI Scopus3 WoS4

Email: yuanhong.chen@adelaide.edu.au

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