
个人简历:
- 2011-09 to 2015-06, Jilin University, Electronic and Information Engineering, Bachelor 
- 2017-09 to 2022-06, Jilin University, Circuits and Systems, Doctor 
- 2022-06 to present, ShanghaiTech University, School of Biomedical Engineering, Post-doc 
- Medical Image Processing and Analysis 
- Deep Learning Algorithm 
- Generative adversarial network 
代表性论文:
- Meiyu Li, Hailiang Tang, Michael D. Chan, Xiaobo Zhou and Xiaohua Qian. DC-AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet[J]. Medical Physics, 2020, 47(3): 1139-1150. 
- Meiyu Li, Fenghui Lian and Shuxu Guo. Pancreas segmentation based on an adversarial model under two-tier constraints[J]. Physics in Medicine and Biology, 2020, 65:225021. 
- Meiyu Li, Fenghui Lian, Chunyu Wang and Shuxu Guo. Dual adversarial convolutional networks with multilevel cues for pancreatic segmentation[J]. Physics in Medicine and Biology, 2021, 66:175025. 
- Meiyu Li, Fenghui Lian and Shuxu Guo. Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets[J]. Journal of Digital Imaging, 2022, 35:47-55. 
- Meiyu Li, Fenghui Lian, Chunyu Wang and Shuxu Guo. Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism[J]. BMC Medical Imaging, 2021, 21:168. 
- Meiyu Li, Fenghui Lian, Yang Li and Shuxu Guo. Attention-guided duplex adversarial U-net for pancreatic segmentation from computed tomography images[J]. Journal of Applied Clinical Medical Physics, 2022, 23(4): e13537. 
- Meiyu Li, Fenghui Lian and Shuxu Guo. An Adversarial Network Embedded with Attention Mechanism for Pancreas Segmentation[C]. IEEE International Conference on Electronic Information Engineering and Computer Science (EIECS). 2021: 631- 634. 

 
			
		