李美育 助理研究员

邮箱：184808@shsmu.edu.cn

研究方向：

医疗人工智能，医学影像分析与处理

教育经历：

2011.09-2015.06    吉林大学  电子信息工程    学士

2017.09-2022.06    吉林大学  电路与系统       博士

工作经历：

2022.06-2024.06        上海科技大学 生物医学工程学院  博士后，合作导师：沈定刚教授

主要成绩及奖励：

2022年度上海市“超级博士后”激励计划

代表性论文：

1. 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. (SCI, IF=4.506, JCR Q1)

2. 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. (SCI, IF=4.174, JCR Q1)

3. 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. (SCI, IF=4.174, JCR Q1)

4. 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. (SCI, IF=4.903, JCR Q2)

5. Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen. Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. MICCAI 2023, Vancouver, Canada, October 8-12, 2023. (Conference)