An End to End Thyroid Nodule Segmentation Model based on Optimized U-Net Convolutional Neural Network. - Mengya Liu; Xueguang Yuan; Yangan Zhang; Kunliang Chang; Zhifang Deng; Jun Xue (ISAIMS, 2020)

MISSFormer: An Effective Medical Image Segmentation Transformer. - Xiaohong Huang; Zhifang Deng; Dandan Li; Xueguang Yuan (CoRR, 2021)

FedGraph: an Aggregation Method from Graph Perspective. - Zhifang Deng; Xiaohong Huang; Dandan Li; Xueguang Yuan (CoRR, 2022)

FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation. - Zhifang Deng; Dandan Li; Shi Tan; Ying Fu; Xueguang Yuan; Xiaohong Huang; Yong Zhang; Guangwei Zhou (MICCAI (2), 2023)

MISSFormer: An Effective Transformer for 2D Medical Image Segmentation. - Xiaohong Huang; Zhifang Deng; Dandan Li; Xueguang Yuan; Ying Fu (IEEE Trans. Medical Imaging, 2023)

CATNet: A Cross Attention and Texture-Aware Network for Polyp Segmentation. - Zhifang Deng; Yangdong Wu (Int. J. Imaging Syst. Technol., 2024)