Shengdong Nie

According to our database, Shengdong Nie authored at least 15 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging.

Yang Wu, Rong Sun, Yuanzhong Xie, Shengdong Nie

Medical Biol. Eng. Comput., August, 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, August, 2023

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, April, 2023

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

Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging.

Chuanling Wei, Shengdong Nie

Proceedings of the 7th International Conference on Systems and Informatics, 2021

Automatic Segmentation of Cerebrovascular Based on Deep Learning.

Yuqin Min, Shengdong Nie

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Deep Learning-Based ASPECTS Scoring Method for Acute Ischemic Stroke.

Naijia Liu, Shengdong Nie

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

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

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

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

2017

Extraction Technique of Spicules-Based Features for the Classification of Pulmonary Nodules on Computed Tomography.

Xingyi He, Jing Gong, Lijia Wang, Shengdong Nie

Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017

Classification of malignant-benign pulmonary nodules in lung CT images using an improved random forest (Use style: Paper title).

Huihui Hu, Shengdong Nie

Proceedings of the 13th International Conference on Natural Computation, 2017

2012

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

Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2008

Construction of Remote Experiment Framework for MR Imaging Technique.

Shengdong Nie, Yanhua Ren, Ying Liu, Wenwen Yu

Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008