Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma. - Ruodai Wu; Yue Peng; Bing Xiong 004; Wenjian Qin; Songxiong Wu (CMMCA@MICCAI, 2023)

MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. - Zhenxing Huang; Wenbo Li; Yunling Wang; Zhou Liu; Qiyang Zhang; Yuxi Jin; Ruodai Wu; Guotao Quan; Dong Liang 001; Zhanli Hu; Na Zhang 001 (Artif. Intell. Medicine, 2023)

Contextual embedding learning to enhance 2D networks for volumetric image segmentation. - Zhuoyuan Wang; Dong Sun; Xiangyun Zeng; Ruodai Wu; Yi Wang 031 (Expert Syst. Appl., 2024)

Domain adaptive detection framework for multi-center bone tumor detection on radiographs. - Bing Li; Danyang Xu; Hongxin Lin; Ruodai Wu; Songxiong Wu; Jingjing Shao; Jinxiang Zhang; Haiyang Dai; Dan Wei; Bingsheng Huang; Zhenhua Gao; Xianfen Diao (Comput. Medical Imaging Graph., 2025)

Fully automated segmentation of brain and scalp blood vessels on multi-parametric magnetic resonance imaging using multi-view cascaded networks. - Songxiong Wu; Zilong Huang; Mingyu Wang; Ping Zeng; Biwen Tan; Panying Wang; Bin Huang; Naiwen Zhang; Nashan Wu; Ruodai Wu; Yong Chen; Guangyao Wu; et al. (Comput. Methods Programs Biomed., 2025)