ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. - Hongyu Kan; Jun Shi 007; Minfan Zhao; Zhaohui Wang 002; Wenting Han; Hong An; Zhaoyang Wang; Shuo Wang 005 (EMBC, 2022)

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. - Liang Qiao; Qiang Liu; Jun Shi 007; Minfan Zhao; Hongyu Kan; Zhaohui Wang 002; Hong An; Chenguang Xiao; Shuo Wang 005 (EMBC, 2022)

Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation. - Jun Shi 007; Zhaohui Wang 002; Hongyu Kan; Minfan Zhao; Xudong Xue; Bing Yan; Hong An; Jianjun Shen; Joseph Bartlett; Wenqi Lu 001; Jinming Duan 001 (EMBC, 2022)

Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training. - Minfan Zhao; Min Ling; Zhaohui Wang 002; Jun Shi 007; Hongyu Kan; Hong An; Wenting Han; Joseph Bartlett; Wenqi Lu 001 (EMBC, 2022)

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. - Jun Shi 007; Hongyu Kan; Shulan Ruan; Ziqi Zhu; Minfan Zhao; Liang Qiao; Zhaohui Wang 002; Hong An; Xudong Xue (MICCAI (4), 2023)

Rethinking automatic segmentation of gross target volume from a decoupling perspective. - Jun Shi 007; Zhaohui Wang 002; Shulan Ruan; Minfan Zhao; Ziqi Zhu; Hongyu Kan; Hong An; Xudong Xue; Bing Yan (Comput. Medical Imaging Graph., 2024)