A mixed-signal ASIC for triple-chamber cardiac pacemakers with heart resistance measurement. - Jie Zhang 039; Hong Zhang 009; Ruizhi Zhang 002; Jiangtao Xu; Yang Zhao 007; Mudan Zhang; Jia Li (A-SSCC, 2015)

A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. - Yichao Zheng; Yinheng Zhu; Mengqi Ji; Rongpin Wang; Xinfeng Liu; Mudan Zhang; Jun Liu; Xiaochun Zhang; Choo Hui Qin; Lu Fang 001; Shaohua Ma (Patterns, 2020)

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. - Zhenxing Huang; Xinfeng Liu; Rongpin Wang; Mudan Zhang; Xianchun Zeng; Jun Liu 080; Yongfeng Yang; Xin Liu 053; Hairong Zheng; Dong Liang 001; Zhanli Hu (Appl. Intell., 2021)

An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators. - Mudan Zhang; Xianchun Zeng; Chencui Huang; Jun Liu; Xinfeng Liu; Xingzhi Xie; Rongpin Wang (Int. J. Medical Informatics, 2021)

StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. - Bangkang Fu; Mudan Zhang; Junjie He; Ying Cao; Yuchen Guo; Rongpin Wang (Comput. Methods Programs Biomed., 2022)

A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. - Mudan Zhang; Xuntao Yin; Wuchao Li; Yan Zha; Xianchun Zeng; Xiaoyong Zhang; Jingjing Cui; Zhong Xue; Rongpin Wang; Chen Liu (BMC Medical Imaging, 2023)

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. - Junjie He; Mudan Zhang; Wuchao Li; Yunsong Peng; Bangkang Fu; Chen Liu 026; Jian Wang 135; Rongpin Wang (Comput. Biol. Medicine, 2024)