Segmentation for regions of interest in radiotherapy by self-supervised learning. - Chengrong Yu; Junjie Hu 004; Guiyuan Li; Shengqian Zhu; Sen Bai; Zhang Yi 001 (Knowl. Based Syst., 2022)

Regularizing deep neural networks for medical image analysis with augmented batch normalization. - Shengqian Zhu; Chengrong Yu; Junjie Hu 004 (Appl. Soft Comput., 2024)

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy. - Junjie Hu 004; Chengrong Yu; Shengqian Zhu; Haixian Zhang (Int. J. Intell. Syst., 2024)

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation. - Chengrong Yu; Ying Song; Qiang Wang; Shengqian Zhu; Zhang Yi 001; Junjie Hu 004 (Neurocomputing, 2024)

Visual prompt-driven universal model for medical image segmentation in radiotherapy. - Shengqian Zhu; Chengrong Yu; Zhang Yi 001; Junjie Hu 004 (Knowl. Based Syst., 2025)