WeChat Mini Program
Old Version Features
Research Interests

Papers共 119 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Robust Feature Enhanced Deep Kernel Support Vector Machine Via Low Rank Representation and Clustering
Hongtao Li, Lulu Jiang,Ernest Domanaanmwi Ganaa, Peiwang Li,Xiang-Jun Shen
EXPERT SYSTEMS WITH APPLICATIONS (2025)
Cited0Views0EIBibtex
0
0
A Comparative Analysis of Three Graph Neural Network Models for Predicting Axillary Lymph Node Metastasis in Early-Stage Breast Cancer
Enock Adjei Agyekum, Wentao Kong, Yong-Zhen Ren, Eliasu Issaka, Josephine Baffoe, Wang Xian, Gongxun Tan, Chunjing Xiong, Zhangye Wang,Xiaoqin Qian,Xiangjun Shen
Scientific reportsno. 1 (2025): 13918-13918
Cited0Views0WOSNATUREBibtex
0
0
Deep Cross Entropy Fusion for Pulmonary Nodule Classification Based on Ultrasound Imagery
Xian Wang, Ziou Zhao, Donggang Pan, Hui Zhou,Jie Hou, Hui Sun,Xiangjun Shen, Sumet Mehta,Wei Wang
Frontiers in oncology (2025): 1514779-1514779
Cited0Views0WOSBibtex
0
0
Predicting the Efficacy of Microwave Ablation of Benign Thyroid Nodules from Ultrasound Images Using Deep Convolutional Neural Networks
Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan,Xiangjun Shen,Xiao-qin Qian
BMC Medical Informatics and Decision Makingno. 1 (2025): 1-15
Cited0Views0WOSBibtex
0
0
Parameterized $L_{0}$ Image Smoothing with Unsupervised Learning
Yang,Ling Tang,Tao Yan,Lanling Zeng,Xiangjun Shen,Yongzhao Zhan
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCEno. 2 (2024): 1938-1951
Cited0Views0EIWOSBibtex
0
0
Load More
Author Statistics

#Papers: 119

#Citation: 984

H-Index: 18

G-Index: 28

Sociability: 5

Diversity: 3

Activity: 56

  • 合作者
  • 学生
  • 导师
No result temporarily, you can search similar Scholar with the same research interest
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn