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Knowledge Commons of Institute of Automation,CAS
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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
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View/Download:27/0
  |  
Submit date:2022/11/21
deep learning
field-free line
magnetic particle imaging
sparse view
The potential of prostate gland radiomic features in identifying the Gleason score
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
Authors:
Gong, Lixin
;
Xu, Min
;
Fang, Mengjie
;
He, Bingxi
;
Li, Hailin
;
Fang, Xiangming
;
Dong, Di
;
Tian, Jie
Favorite
  |  
View/Download:47/0
  |  
Submit date:2022/07/25
MRI
Radiomics
Prostate cancer
Gleason score
Gland segmentation
Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer
期刊论文
TRANSLATIONAL ONCOLOGY, 2021, 卷号: 14, 期号: 8, 页码: 7
Authors:
Liu, Yujia
;
Fan, Huijian
;
Dong, Di
;
Liu, Ping
;
He, Bingxi
;
Meng, Lingwei
;
Chen, Jiaming
;
Chen, Chunlin
;
Lang, Jinghe
;
Tian, Jie
Favorite
  |  
View/Download:84/0
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Submit date:2021/11/03
Cervical cancer
Lymph node metastasis
Radiomics
Preoperative prediction
Classifiers
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
Adobe PDF(3862Kb)
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View/Download:109/3
  |  
Submit date:2021/05/06
deep learning
peritumor
radiomics
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:133/16
  |  
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:100/9
  |  
Submit date:2020/07/20
Coronavirus disease 2019
Deep learning
Multi-view model
Computed tomography
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
Authors:
Fang, Mengjie
;
He, Bingxi
;
Li, Li
;
Dong, Di
;
Yang, Xin
;
Li, Cong
;
Meng, Lingwei
;
Zhong, Lianzhen
;
Li, Hailin
;
Li, Hongjun
;
Tian, Jie
Adobe PDF(250Kb)
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View/Download:186/6
  |  
Submit date:2020/06/02
coronavirus disease 2019
radiomics
pneumonia
diagnosis
Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics
期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 8
Authors:
Gong, Lixin
;
Xu, Min
;
Fang, Mengjie
;
Zou, Jian
;
Yang, Shudong
;
Yu, Xinyi
;
Xu, Dandan
;
Zhou, Lijuan
;
Li, Hailin
;
He, Bingxi
;
Wang, Yan
;
Fang, Xiangming
;
Dong, Di
;
Tian, Jie
Adobe PDF(733Kb)
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View/Download:122/3
  |  
Submit date:2020/06/02
prostate cancer
radiomics
Gleason score
biparametric MRI
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0
期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
Authors:
Zhong, Lianzhen
;
Fang, Xueliang
;
Dong, Di
;
Peng, Hao
;
Fang, Mengjie
;
Huang, Chenglong
;
He, Bingxi
;
Lin, Li
;
Ma, Jun
;
Tang, Linglong
;
Tian, Jie
View
  |  
Adobe PDF(8171Kb)
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View/Download:59/11
  |  
Submit date:2020/10/25
nasopharyngeal carcinoma
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images
期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
Authors:
Tian, Panwen
;
He, Bingxi
;
Dong, Di
;
Mu, Wei
;
Liu, Kunqin
;
Liu, Li
;
Zeng, Hao
;
Liu, Yujie
;
Jiang, Lili
;
Zhou, Ping
;
Huang, Zhipei
;
Li, Weimin
;
Tian, Jie
View
  |  
Adobe PDF(1539Kb)
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View/Download:114/44
  |  
Submit date:2020/10/25
PD-L1 expression
deep learning
computed tomography
immunotherapy
non-small cell lung cancer.