TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma. - Xinhuan Sun; Wuchao Li; Bangkang Fu; Yunsong Peng; Junjie He; Lihui Wang; Tongyin Yang; Xue Meng; Jin Li; Jinjing Wang; Ping Huang; Rongpin Wang (Comput. Methods Programs Biomed., 2023)

HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation. - Bangkang Fu; Yunsong Peng; Junjie He; Chong Tian; Xinhuan Sun; Rongpin Wang (Comput. Biol. Medicine, 2024)

RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images. - Jiahui Mao; Wuchao Li; Xinhuan Sun; Bangkang Fu; Junjie He; Chongzhe Yan; Jianguo Zhu 003; Zhuxue Zhang; Jiahui Mao; Zhangxin Hong; Qi Tang; Zhen Liu; et al. (Comput. Methods Programs Biomed., 2025)