Team Members

Liang Xu(徐亮)

  • Experiences:
    B.S., 2016-2020, North China Electric Power University, Beijing, China Ph.D., 2020-now, University of Science and Technology of China, Anhui, China
  • Research Interests:
    My focus is on medical image processing, deep learning, and exploring the cultivation and generation of ex vivo perfusable vessels.
  • E-mail:
    Xul666@mail.ustc.edu.cn

Publications

  1. L Xu, Y Cheng, F Zhang, et al. Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification[J]. arXiv preprint arXiv:2205.12117, 2022.(待投)
  2. L Xu, M Chen, Y Cheng, S Shen*, Peng Yao*, and Ronald X.Xu*. MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation. 2023.(待投)
  3. S Shen, M Xu, F Zhang, P Shao, H Liu, L Xu, Chi Zhang, Peng Liu*, Peng Yao*, Ronald X. Xu*. A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification. BME Front. 2022:2022.
  4. B Wu, F Zhang, L Xu, et al. Modality preserving U-Net for segmentation of multimodal medical images. Quantitative Imaging in Medicine and Surgery. Vol 13, No 8 (August 2023).

Patent:

  1. 发明专利 邵鹏飞, 邢金玉, 徐亮.一种分布式拉曼光纤多目标探测系统, CN202110553633.5 (已授权)
  2. 发明专利 姚鹏, 徐亮, 邵鹏飞, 任维. 基于微流控和图像识别的循环肿瘤检测与分选方法及系统, CN202110894953.7 (已授权)
  3. 发明专利 任维, 姚鹏, 徐亮, 邵鹏飞. 一种循环肿瘤细胞智能分选系统, CN202121816293.2 (已授权)
  4. 发明专利 姚鹏, 徐亮, 程逸, 申书伟, 徐晓嵘, 任维. 一种基于重加权策略的网络训练方法, CN202111602611.X (公开)
  5. 发明专利 姚鹏, 徐亮, 程逸, 申书伟, 徐晓嵘, 任维. 一种基于重采样策略的网络训练方法, CN202111600865.8 (公开)
  6. 发明专利 任维, 姚鹏, 徐亮, 陈明潇. 针对类别不均衡数据集的网络训练方法, CN202111671005.3 (公开)