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2020 – today
- 2025
[j16]Xianmin Deng, Xuewen Hou
, Shouqiang Jia, Liangyun Hu, Shengdong Nie:
A method for EPI acceleration acquisition and ghost correction by multiple variable density GRAPPA and additional phase labeling. Biomed. Signal Process. Control. 99: 106887 (2025)- [j15]Rong Sun, Xiujuan Li, Baosan Han, Yuanzhong Xie, Shengdong Nie:
Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging. Comput. Methods Programs Biomed. 267: 108830 (2025) - [j14]Shengdong Nie, Hengkai Li, Ziyang Li, Huan Tao, Guanshi Wang, Yanbing Zhou:
Advancing ecological restoration: A novel 3D interpolation method for assessing ammonia-nitrogen pollution in rare earth mining areas. Expert Syst. Appl. 276: 127192 (2025) - [j13]Yuqin Min, Jing Li, Shouqiang Jia, Yuehua Li, Shengdong Nie:
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning. J. Imaging Inform. Medicine 38(2): 703-716 (2025) - [j12]Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Yuanzhong Xie, Shengdong Nie:
Sex-Specific Imaging Biomarkers for Parkinson's Disease Diagnosis: A Machine Learning Analysis. J. Imaging Inform. Medicine 38(2): 1062-1075 (2025) - 2024
- [j11]Yifeng Yang, Ying Hu, Yang Chen, Weidong Gu, Shengdong Nie:
Identifying Leukoaraiosis with Mild Cognitive Impairment by Fusing Multiple MRI Morphological Metrics and Ensemble Machine Learning. J. Imaging Inform. Medicine 37(2): 666-678 (2024) - [j10]Hang Cheng, Xuewen Hou, Gang Huang, Shouqiang Jia, Guang Yang, Shengdong Nie:
Feature Fusion for Multi-Coil Compressed MR Image Reconstruction. J. Imaging Inform. Medicine 37(4): 1969-1979 (2024) - [j9]Yue Su, Xianwu Xia, Rong Sun, Jianjun Yuan, Qianjin Hua, Baosan Han, Jing Gong, Shengdong Nie:
Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images. J. Imaging Inform. Medicine 37(6): 2883-2894 (2024) - 2023
- [j8]Rong Sun, Long Wei, Xuewen Hou, Yang Chen, Baosan Han, Yuanzhong Xie, Shengdong Nie:
Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI. Comput. Methods Programs Biomed. 242: 107804 (2023) - [j7]Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie:
A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules. J. Digit. Imaging 36(2): 688-699 (2023) - [j6]Rong Sun, Chuanling Wei, Zhuoyun Jiang, Gang Huang, Yuanzhong Xie, Shengdong Nie:
Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. J. Digit. Imaging 36(4): 1553-1564 (2023) - [j5]Yang Wu, Rong Sun, Yuanzhong Xie, Shengdong Nie:
Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging. Medical Biol. Eng. Comput. 61(8): 2149-2157 (2023) - 2021
- [j4]Kundong Wang, Jianyun Liu, Weiwu Yan, Qingsheng Lu, Shengdong Nie:
Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments. Int. J. Comput. Assist. Radiol. Surg. 16(1): 179-192 (2021) - [c7]Yuqin Min, Shengdong Nie:
Automatic Segmentation of Cerebrovascular Based on Deep Learning. AIAM (ACM) 2021: 94-98 - [c6]Naijia Liu, Shengdong Nie:
Deep Learning-Based ASPECTS Scoring Method for Acute Ischemic Stroke. AIAM (ACM) 2021: 99-103 - [c5]Chuanling Wei, Shengdong Nie:
Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging. ICSAI 2021: 1-6 - 2020
- [j3]Huihong Duan, Xu Wang, Xingyi He, Yonggang He, Litao Song, Shengdong Nie:
Feature Selection Based on Gaussian Mixture Model Clustering for the Classification of Pulmonary Nodules Based on Computed Tomography. J. Medical Imaging Health Informatics 10(5): 1033-1039 (2020)
2010 – 2019
- 2019
- [j2]Guanqun Su, Lijia Wang, Xiaolong Zhou, Shengdong Nie:
Inversion Method of Two-dimensional Low-field Nuclear Magnetic Resonance Relaxation Spectrum Using Primal-dual Interior Method For Convex Objectives. J. Medical Imaging Health Informatics 9(5): 993-999 (2019) - [j1]Xiaoteng Lu, Jing Gong, Shengdong Nie:
Study on Prognosis Factors of Non-Small Cell Lung Cancer Based on CT Image Features. J. Medical Imaging Health Informatics 9(6): 1131-1137 (2019) - 2017
- [c4]Huihui Hu, Shengdong Nie:
Classification of malignant-benign pulmonary nodules in lung CT images using an improved random forest (Use style: Paper title). ICNC-FSKD 2017: 2285-2290 - [c3]Xingyi He, Jing Gong, Lijia Wang, Shengdong Nie:
Extraction Technique of Spicules-Based Features for the Classification of Pulmonary Nodules on Computed Tomography. LSMS/ICSEE (1) 2017: 123-131 - 2012
- [c2]Shengdong Nie, Lihong Li, Yuanjun Wang, Chaofan He, Feng Ji, Jianmei Liang:
A segmentation method for sub-solid pulmonary nodules based on fuzzy c-means clustering. BMEI 2012: 169-172
2000 – 2009
- 2008
- [c1]Shengdong Nie, Yanhua Ren, Ying Liu, Wenwen Yu:
Construction of Remote Experiment Framework for MR Imaging Technique. ISCSCT (1) 2008: 131-135
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