Conference Paper

  1. X. Ouyang, J. Che, Q. Chen, Z. Li, Y. Zhan, Z. Xue, Q. Wang, J.-Z. Cheng, and D. Shen, “Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms,” in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Strasbourg, France, 2021, pp. 78–87.
  2. Y. Qiao, H. Tao, J. Huo, W. Shen, Q. Wang, and L. Zhang, “Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance,” in Machine Learning in Clinical Neuroimaging, Strasbourg, France, 2021, pp. 92–100.
  3. W. Shen, L. Chen, D. Wei, Y. Qiao, Y. Zhan, D. Shen, and Q. Wang, “A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI,” in Machine Learning in Medical Imaging, Strasbourg, France, 2021, pp. 219–227.
  4. S. Wang, Z. Zhuang, K. Xuan, D. Qian, Z. Xue, J. Xu, Y. Liu, Y. Chai, L. Zhang, Q. Wang, and D. Shen, “3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment,” in Machine Learning in Medical Imaging, Strasbourg, France, 2021, pp. 347–355.