Best Paper and Young Scientist Award Shortlist MICCAI, 2025 

IEEE TMI Distinguished Reviewer Bronze Level, 2024 

LaScar@MICCAI’22 Best Paper Runner-up Award, 2022

Meng, Y., Zhang, Y., Xie, J., Duan, J., Joddrell, M., Madhusudhan, S., Peto, T., Zhao, Y. and Zheng,Y., 2024. Multi-granularity learning of explicit geometric constraint and contrast for label-efficient 
medical image segmentation and differentiable clinical function assessment. Medical ImageAnalysis, 95, p. 103183. 

Meng, Y., Bridge, J., Addison, C., Wang, M., Merritt, C., Franks, S., Mackey, M., Messenger, S., Sun,R., Fitzmaurice, T. and McCann, C., 2023. Bilateral adaptive graph convolutional network on CT 
based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instancelearning. Medical Image Analysis, 84, p. 102722. 

Meng, Y., Zhang, H., Zhao, Y., Gao, D., Hamill, B., Patri, G., Peto, T., Madhusudhan, S. and Zheng,Y., 2022. Dual consistency enabled weakly and semi-supervised optic disc and cup segmentationwith dual adaptive graph convolutional networks. IEEE Transactions on Medical Imaging, 42(2),p. 416-429. 

Meng, Y., Zhang, H., Zhao, Y., Yang, X., Qiao, Y., MacCormick, I.J., Huang, X. and Zheng, Y., 2021.Graph-based region and boundary aggregation for biomedical image segmentation. IEEETransactions on Medical Imaging, 41(3), p. 690-701.