[1] Zhao Bin, Liu Zhiyang, Liu Guohua, Wu Mengran, Cao Chen, Jin Song, Wu Hong and Ding Shuxue. Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise learning[J]. IET Image Processing, 2022, 16(14): 3965-3976.

[2] Zhao Bin, Ding Shuxue, Wu Hong, Liu Guohua, Cao Chen, Jin Song and Liu Zhiyang. Automatic Acute Ischemic Stroke Lesion Segmentation Using Semi-supervised Learning[J]. International Journal of Computational Intelligence Systems, 2021,14(1): 723-733.

[3] Chai Chao, Qiao Pengchong, Zhao Bin, Wang Huiying, Liu Guohua, Wu Hong, Shen Wen, Cao Chen, Ye Xinchen, Liu Zhiyang and Xia Shuang. Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network[J]. Artificial Intelligence in Medicine, 2022, 125: 102255.

[4] Zhao Bin, Liu Zhiyang, Ding Shuxue, Liu Guohua, Cao Chen and Wu Hong. Motion artifact correction for MR images based on convolutional neural network[J]. Optoelectronics Letters, 2022, 18(1): 54-58.

[5] Zhao Bin, Ding Shuxue, Wu Mengran, Liu Guohua, Cao Chen, Jin Song, Liu Zhiyang and Wu Hong. MocNet: Less Motion Artifacts, More Clean MRI[C]//Artificial Intelligence in China: Proceedings of the 3rd International Conference on Artificial Intelligence in China. Singapore: Springer Singapore, 2022: 40-46.