Shengdong Nie - RankMe

23 papers Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A method for EPI acceleration acquisition and ghost correction by multiple variable density GRAPPA and additional phase labeling. Biomed. Signal Process. Control. Xianmin Deng, Xuewen Hou, Shouqiang Jia, Liangyun Hu, Shengdong Nie
2025	J	`jnl`	Advancing ecological restoration: A novel 3D interpolation method for assessing ammonia-nitrogen pollution in rare earth mining areas. Expert Syst. Appl. Shengdong Nie, Hengkai Li, Ziyang Li, Huan Tao, Guanshi Wang, Yanbing Zhou
2025	J	`jnl`	Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning. J. Imaging Inform. Medicine Yuqin Min, Jing Li, Shouqiang Jia, Yuehua Li, Shengdong Nie
2025	J	`jnl`	Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging. Comput. Methods Programs Biomed. Rong Sun, Xiujuan Li, Baosan Han, Yuanzhong Xie, Shengdong Nie
2025	J	`jnl`	Sex-Specific Imaging Biomarkers for Parkinson's Disease Diagnosis: A Machine Learning Analysis. J. Imaging Inform. Medicine Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Yuanzhong Xie, Shengdong Nie
2024	J	`jnl`	Feature Fusion for Multi-Coil Compressed MR Image Reconstruction. J. Imaging Inform. Medicine Hang Cheng, Xuewen Hou, Gang Huang, Shouqiang Jia, Guang Yang, Shengdong Nie
2024	J	`jnl`	Identifying Leukoaraiosis with Mild Cognitive Impairment by Fusing Multiple MRI Morphological Metrics and Ensemble Machine Learning. J. Imaging Inform. Medicine Yifeng Yang, Ying Hu, Yang Chen, Weidong Gu, Shengdong Nie
2024	J	`jnl`	Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images. J. Imaging Inform. Medicine Yue Su, Xianwu Xia, Rong Sun, Jianjun Yuan, Qianjin Hua, Baosan Han, Jing Gong, Shengdong Nie
2023	J	`jnl`	A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules. J. Digit. Imaging Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie
2023	J	`jnl`	Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging. Medical Biol. Eng. Comput. Yang Wu, Rong Sun, Yuanzhong Xie, Shengdong Nie
2023	J	`jnl`	Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI. Comput. Methods Programs Biomed. Rong Sun, Long Wei, Xuewen Hou, Yang Chen, Baosan Han, Yuanzhong Xie, Shengdong Nie
2023	J	`jnl`	Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. J. Digit. Imaging Rong Sun, Chuanling Wei, Zhuoyun Jiang, Gang Huang, Yuanzhong Xie, Shengdong Nie
2021	—	`conf`	Automatic Segmentation of Cerebrovascular Based on Deep Learning. AIAM (ACM) Yuqin Min, Shengdong Nie
2021	—	`conf`	Deep Learning-Based ASPECTS Scoring Method for Acute Ischemic Stroke. AIAM (ACM) Naijia Liu, Shengdong Nie
2021	J	`jnl`	Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments. Int. J. Comput. Assist. Radiol. Surg. Kundong Wang, Jianyun Liu, Weiwu Yan, Qingsheng Lu, Shengdong Nie
2021	—	`conf`	Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging. ICSAI Chuanling Wei, Shengdong Nie
2020	J	`jnl`	Feature Selection Based on Gaussian Mixture Model Clustering for the Classification of Pulmonary Nodules Based on Computed Tomography. J. Medical Imaging Health Informatics Huihong Duan, Xu Wang, Xingyi He, Yonggang He, Litao Song, Shengdong Nie
2019	J	`jnl`	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 Guanqun Su, Lijia Wang, Xiaolong Zhou, Shengdong Nie
2019	J	`jnl`	Study on Prognosis Factors of Non-Small Cell Lung Cancer Based on CT Image Features. J. Medical Imaging Health Informatics Xiaoteng Lu, Jing Gong, Shengdong Nie
2017	—	`conf`	Classification of malignant-benign pulmonary nodules in lung CT images using an improved random forest (Use style: Paper title). ICNC-FSKD Huihui Hu, Shengdong Nie
2017	—	`conf`	Extraction Technique of Spicules-Based Features for the Classification of Pulmonary Nodules on Computed Tomography. LSMS/ICSEE (1) Xingyi He, Jing Gong, Lijia Wang, Shengdong Nie
2012	—	`conf`	A segmentation method for sub-solid pulmonary nodules based on fuzzy c-means clustering. BMEI Shengdong Nie, Lihong Li, Yuanjun Wang, Chaofan He, Feng Ji, Jianmei Liang
2008	—	`conf`	Construction of Remote Experiment Framework for MR Imaging Technique. ISCSCT (1) Shengdong Nie, Yanhua Ren, Ying Liu, Wenwen Yu