Construction of Remote Experiment Framework for MR Imaging Technique. - Shengdong Nie; Yanhua Ren; Ying Liu; Wenwen Yu (ISCSCT (1), 2008)

A segmentation method for sub-solid pulmonary nodules based on fuzzy c-means clustering. - Shengdong Nie; Lihong Li; Yuanjun Wang; Chaofan He; Feng Ji; Jianmei Liang (BMEI, 2012)

Classification of malignant-benign pulmonary nodules in lung CT images using an improved random forest (Use style: Paper title). - Huihui Hu; Shengdong Nie (ICNC-FSKD, 2017)

Extraction Technique of Spicules-Based Features for the Classification of Pulmonary Nodules on Computed Tomography. - Xingyi He; Jing Gong; Lijia Wang; Shengdong Nie (LSMS/ICSEE (1), 2017)

Study on Prognosis Factors of Non-Small Cell Lung Cancer Based on CT Image Features. - Xiaoteng Lu; Jing Gong; Shengdong Nie (J. Medical Imaging Health Informatics, 2019)

Inversion Method of Two-dimensional Low-field Nuclear Magnetic Resonance Relaxation Spectrum Using Primal-dual Interior Method For Convex Objectives. - Guanqun Su; Lijia Wang; Xiaolong Zhou; Shengdong Nie (J. Medical Imaging Health Informatics, 2019)

Feature Selection Based on Gaussian Mixture Model Clustering for the Classification of Pulmonary Nodules Based on Computed Tomography. - Huihong Duan; Xu Wang; Xingyi He; Yonggang He; Litao Song; Shengdong Nie (J. Medical Imaging Health Informatics, 2020)

Deep Learning-Based ASPECTS Scoring Method for Acute Ischemic Stroke. - Naijia Liu; Shengdong Nie (AIAM (ACM), 2021)

Automatic Segmentation of Cerebrovascular Based on Deep Learning. - Yuqin Min; Shengdong Nie (AIAM (ACM), 2021)

Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging. - Chuanling Wei; Shengdong Nie (ICSAI, 2021)

Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments. - Kundong Wang; Jianyun Liu; Weiwu Yan; Qingsheng Lu; Shengdong Nie (Int. J. Comput. Assist. Radiol. Surg., 2021)

A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules. - Yang Chen; Xuewen Hou; Yifeng Yang; Qianqian Ge; Yan Zhou; Shengdong Nie (J. Digit. Imaging, 2023)

Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. - Rong Sun; Chuanling Wei; Zhuoyun Jiang; Gang Huang; Yuanzhong Xie; Shengdong Nie (J. Digit. Imaging, 2023)

Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging. - Yang Wu 001; Rong Sun; Yuanzhong Xie; Shengdong Nie (Medical Biol. Eng. Comput., 2023)

Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI. - Rong Sun; Long Wei; Xuewen Hou; Yang Chen; Baosan Han; Yuanzhong Xie; Shengdong Nie (Comput. Methods Programs Biomed., 2023)

A method for EPI acceleration acquisition and ghost correction by multiple variable density GRAPPA and additional phase labeling. - Xianmin Deng; Xuewen Hou; Shouqiang Jia; Liangyun Hu; Shengdong Nie (Biomed. Signal Process. Control., 2025)

Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging. - Rong Sun; Xiujuan Li; Baosan Han; Yuanzhong Xie; Shengdong Nie (Comput. Methods Programs Biomed., 2025)

Advancing ecological restoration: A novel 3D interpolation method for assessing ammonia-nitrogen pollution in rare earth mining areas. - Shengdong Nie; Hengkai Li; Ziyang Li; Huan Tao; Guanshi Wang; Yanbing Zhou (Expert Syst. Appl., 2025)