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Anisotropic edge-preserving network for resolution enhancement in unidirectional Cartesian magnetic particle imaging
期刊论文
Physics in Medicine & Biology, 2023, 卷号: 68, 期号: 4
Authors:
Shang,Yaxin
;
Liu,Jie
;
Liu,Yanjun
;
Zhang,Bo
;
Wu,Xiangjun
;
Zhang,Liwen
;
Tong,Wei
;
Hui,Hui
;
Tian,Jie
Favorite
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View/Download:30/0
  |  
Submit date:2023/05/31
deep learning
magnetic particle imaging
point spread function
superparamagnetic iron oxide nanoparticles
unidirectional Cartesian
PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging
期刊论文
MEDICAL PHYSICS, 2022, 页码: 18
Authors:
Wu, Xiangjun
;
He, Bingxi
;
Gao, Pengli
;
Zhang, Peng
;
Shang, Yaxin
;
Zhang, Liwen
;
Zhong, Jing
;
Jiang, Jingying
;
Hui, Hui
;
Tian, Jie
Favorite
  |  
View/Download:99/0
  |  
Submit date:2022/11/21
deep learning
field-free line
magnetic particle imaging
sparse view
Deep learning for improving the spatial resolution of magnetic particle imaging
期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 12, 页码: 14
Authors:
Shang, Yaxin
;
Liu, Jie
;
Zhang, Liwen
;
Wu, Xiangjun
;
Zhang, Peng
;
Yin, Lin
;
Hui, Hui
;
Tian, Jie
Favorite
  |  
View/Download:109/0
  |  
Submit date:2022/07/25
deep learning
magnetic particle imaging
spatial resolution
superparamagnetic iron oxide nanoparticles
Elimination of stripe artifacts in light sheet fluorescence microscopy using an attention-based residual neural network
期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 3, 页码: 1292-1311
Authors:
Wei, Zechen
;
Wu, Xiangjun
;
Tong, Wei
;
Zhang, Suhui
;
Yang, Xin
;
Tian, Jie
;
Hui, Hui
Favorite
  |  
View/Download:117/0
  |  
Submit date:2022/06/06
Structure attention co-training neural network for neovascularization segmentation in intravascular optical coherence tomography
期刊论文
MEDICAL PHYSICS, 2022, 页码: 16
Authors:
Wu, Xiangjun
;
Zhang, Yingqian
;
Zhang, Peng
;
Hui, Hui
;
Jing, Jing
;
Tian, Feng
;
Jiang, Jingying
;
Yang, Xin
;
Chen, Yundai
;
Tian, Jie
Favorite
  |  
View/Download:107/0
  |  
Submit date:2022/03/17
co-training
IVOCT
neovascularization segmentation
structural attention mechanism
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study
期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
Authors:
Wu, Xiangjun
;
Dong, Di
;
Zhang, Lu
;
Fang, Mengjie
;
Zhu, Yongbei
;
He, Bingxi
;
Ye, Zhaoxiang
;
Zhang, Minming
;
Zhang, Shuixing
;
Tian, Jie
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View/Download:174/12
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Submit date:2021/05/06
deep learning
peritumor
radiomics
MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma
期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 12
Authors:
Zhang, Lu
;
Wu, Xiangjun
;
Liu, Jing
;
Zhang, Bin
;
Mo, Xiaokai
;
Chen, Qiuying
;
Fang, Jin
;
Wang, Fei
;
Li, Minmin
;
Chen, Zhuozhi
;
Liu, Shuyi
;
Chen, Luyan
;
You, Jingjing
;
Jin, Zhe
;
Tang, Binghang
;
Dong, Di
;
Zhang, Shuixing
Favorite
  |  
View/Download:106/0
  |  
Submit date:2020/09/07
nasopharyngeal carcinoma
deep learning
distant metastasis-free survival
induction chemotherapy
chemoradiotherapy
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:
Wu, Xiangjun
;
Hui, Hui
;
Niu, Meng
;
Li, Liang
;
Wang, Li
;
He, Bingxi
;
Yang, Xin
;
Li, Li
;
Li, Hongjun
;
Tian, Jie
;
Zha, Yunfei
View
  |  
Adobe PDF(2315Kb)
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  |  
View/Download:193/34
  |  
Submit date:2020/07/20
Coronavirus disease 2019
Deep learning
Multi-view model
Computed tomography
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:
Wu, Xiangjun
;
Hui, Hui
;
Niu, Meng
;
Li, Liang
;
Wang, Li
;
He, Bingxi
;
Yang, Xin
;
Li, Li
;
Li, Hongjun
;
Tian, Jie
;
Zha, Yunfei
View
  |  
Adobe PDF(2315Kb)
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View/Download:168/26
  |  
Submit date:2020/07/20
Coronavirus disease 2019
Deep learning
Multi-view model
Computed tomography
Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score
期刊论文
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2020, 页码: 12
Authors:
Hu, Wenchao
;
Wu, Xiangjun
;
Dong, Di
;
Cui, Long-Biao
;
Jiang, Min
;
Zhang, Jibin
;
Wang, Yabin
;
Wang, Xinjiang
;
Gao, Lei
;
Tian, Jie
;
Cao, Feng
Favorite
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View/Download:146/0
  |  
Submit date:2020/07/06
Coronary artery disease
CT angiography
Radiomics
Myocardial ischaemia