Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Wufeng Xue"'
Autor:
Ye Zhu, Zisang Zhang, Junqiang Ma, Yiwei Zhang, Shuangshuang Zhu, Manwei Liu, Ziming Zhang, Chun Wu, Chunyan Xu, Anjun Wu, Chenchen Sun, Xin Yang, Yonghuai Wang, Chunyan Ma, Jun Cheng, Dong Ni, Jing Wang, Mingxing Xie, Wufeng Xue, Li Zhang
Publikováno v:
Digital Health, Vol 10 (2024)
Background Left ventricular opacification (LVO) improves the accuracy of left ventricular ejection fraction (LVEF) by enhancing the visualization of the endocardium. Manual delineation of the endocardium by sonographers has observer variability. Arti
Externí odkaz:
https://doaj.org/article/2d14d454dd0549efa7d92bff52b88135
Autor:
Ye Zhu, Junqiang Ma, Zisang Zhang, Yiwei Zhang, Shuangshuang Zhu, Manwei Liu, Ziming Zhang, Chun Wu, Xin Yang, Jun Cheng, Dong Ni, Mingxing Xie, Wufeng Xue, Li Zhang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundContrast and non-contrast echocardiography are crucial for cardiovascular diagnoses and treatments. Correct view classification is a foundational step for the analysis of cardiac structure and function. View classification from all sequence
Externí odkaz:
https://doaj.org/article/750db816e9314b74b7918d919413b6b0
Autor:
Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng Ann Heng, Dong Ni
Publikováno v:
IEEE Access, Vol 8, Pp 173961-173973 (2020)
Deep neural networks are very compelling for medical image segmentation. However, deep models often suffer from notable performance drops in real clinical settings due to the complex appearance shift in daily scannings. Domain adaptation partially ad
Externí odkaz:
https://doaj.org/article/7106b77896ba49b7b261ac2df95224bc
Publikováno v:
IEEE Access, Vol 7, Pp 16584-16593 (2019)
Left ventricle (LV) segmentation is essential to clinical quantification and diagnosis of cardiac images. While most existing LV segmentation methods focus on cardiac images of single modality or multi-modality, few have been devoted to images of mix
Externí odkaz:
https://doaj.org/article/fb3296cb084a4fd7b5d6b0be337db5b1
Autor:
Jian, Wang, Juzheng, Miao, Xin, Yang, Rui, Li, Guangquan, Zhou, Yuhao, Huang, Zehui, Lin, Wufeng, Xue, Xiaohong, Jia, Jianqiao, Zhou, Ruobing, Huang, Dong, Ni
Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wave elasticity imaging to advance the diagnosis. However, recognizing u
Externí odkaz:
http://arxiv.org/abs/2008.03435
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:6105-6115
Quantification of left ventricular (LV) ejection fraction (EF) from echocardiography depends upon the identification of endocardium boundaries as well as the calculation of end-diastolic (ED) and end-systolic (ES) LV volumes. It's critical to segment
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3116-3126
Regional cardiac motion scoring aims to classify the motion status of each myocardium segment into one of the four categories (normal, hypokinetic, akinetic, and dyskinetic) from multiple short-axis MR sequences. It is essential for prognosis and ear
Autor:
Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu
Publikováno v:
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable ef
Autor:
Mingyuan Luo, Xin Yang, Hongzhang Wang, Haoran Dou, Xindi Hu, Yuhao Huang, Nishant Ravikumar, Songcheng Xu, Yuanji Zhang, Yi Xiong, Wufeng Xue, Alejandro F. Frangi, Dong Ni, Litao Sun
Publikováno v:
Medical Image Analysis. 87:102810
Autor:
Xiaoqiong Huang, Xin Yang, Haoran Dou, Yuhao Huang, Li Zhang, Zhendong Liu, Zhongnuo Yan, Lian Liu, Yuxin Zou, Xindi Hu, Rui Gao, Yuanji Zhang, Yi Xiong, Wufeng Xue, Dong Ni
Publikováno v:
Computer Methods and Programs in Biomedicine. 233:107477