Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. - Tianling Lyu; Wei Zhao 029; Yinsu Zhu; Zhan Wu; Yikun Zhang 001; Yang Chen 008; Limin Luo 001; Shuo Li 001; Lei Xing 001 (Medical Image Anal., 2021)

Slice-Mask Based 3D Cardiac Shape Reconstruction from CT Volume. - Xiaohan Yuan; Cong Liu; Fu Feng; Yinsu Zhu; Yangang Wang (ACCV (6), 2022)

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis. - Yuqiang Gao; Guanyu Yang 001; Xiaoming Qi; Yinsu Zhu; Shuo Li 001 (MICCAI (1), 2022)

A 2.5D Coarse-to-Fine Framework for 3D Cardiac CT View Planning. - Xiaohan Yuan; Yinsu Zhu (PRCV (2), 2022)

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. - Rongjun Ge; Yuting He 001; Cong Xia; Chenchu Xu; Weiya Sun; Guanyu Yang 001; Junru Li; Zhihua Wang; Hailing Yu; Daoqiang Zhang; Yang Chen 008; Limin Luo 001; et al. (Knowl. Based Syst., 2022)

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. - Rongjun Ge; Cong Xia; Yuting He 001; Hailong Sun 006; Daoqiang Zhang; Guanyu Yang 001; Wentao Xiang; Jinjun Shi; Limin Luo 001; Yinsu Zhu; Shuo Li 001; Yang Chen 008 (Knowl. Based Syst., 2022)

MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation. - Xiaoming Qi; Yuting He 001; Guanyu Yang 001; Yang Chen 008; Jian Yang 009; Wangyag Liu; Yinsu Zhu; Yi Xu; Huazhong Shu; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT. - Guanyu Yang 001; Yuting He 001; Yang Lv; Yang Chen 008; Jean-Louis Coatrieux; Xiaoxuan Sun; Qiang Wang; Yongyue Wei; Shuo Li 001; Yinsu Zhu (IEEE J. Biomed. Health Informatics, 2023)

Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation. - Rongjun Ge; Chong Wang; Yuxin Liu; Chunqiang Lu; Cong Xia; Yehui Jiang; Fangyi Xu; Yinsu Zhu; Daoqiang Zhang; Chengyu Liu; Yang Chen; Shuo Li; et al. (Neural Networks, 2025)