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科研机构
自动化研究所 [3]
四川大学 [3]
北京航空航天大学 [2]
深圳先进技术研究院 [2]
兰州大学 [1]
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期刊论文 [11]
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2019 [4]
2018 [3]
2017 [1]
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An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA
期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2019, 卷号: 7, 页码: 15
作者:
Ma, Xibo
;
Chen, Lei
;
Yang, Yingcheng
;
Zhang, Weiqi
;
Wang, Peixia
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/03/30
in vivo detection of non-coding RNA
an artificial intelligent signal amplification system
early diagnosis of precancerous lesions
fluorescent molecular tomography
stem cell tracing
A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study
期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 12
作者:
Wei, Wei
;
Liu, Zhenyu
;
Rong, Yu
;
Zhou, Bin
;
Bei, Yan
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2019/07/12
advanced high-grade serous ovarian cancer
CT
prognosis
radiomics
recurrence
A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study
期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9
作者:
Wei, Wei
;
Liu, Zhenyu
;
Rong, Yu
;
Zhou, Bin
;
Bei, Yan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
advanced high-grade serous ovarian cancer
CT
prognosis
radiomics
recurrence
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 171-177
作者:
Wang, Shuo
;
Liu, Zhenyu
;
Rong, Yu
;
Zhou, Bin
;
Bai, Yan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Deep learning
High-grade serous ovarian cancer
Recurrence
Prognosis
Computed tomography
Artificial intelligence
Semi-supervised learning
Auto encoder
Unsupervised learning
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:
Wang, Shuo
;
Liu, Zhenyu
;
Rong, Yu
;
Zhou, Bin
;
Bai, Yan
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2019/04/30
Deep Learning
High-grade Serous Ovarian Cancer
Recurrence
Prognosis
Computed Tomography
Artificial Intelligence
Semi-supervised Learning
Auto Encoder
Unsupervised Learning
Impact of iterative model reconstruction combined with dose reduction on the image quality of head and neck CTA in children
期刊论文
SCIENTIFIC REPORTS, 2018, 卷号: Vol.8
作者:
Cheng, Bochao
;
Xing, Haoyang
;
Lei, Du
;
Guo, Yingkun
;
Ning, Gang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/02/25
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
期刊论文
Radiotherapy and Oncology, 2018
作者:
Shuo Wang
;
Zhenyu Liu
;
Yu Rong
;
Bin Zhou
;
Yan Bai
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/02/28
Deep
learning
High-grade
serous
ovarian
cancer
Recurrence
Prognosis
Computed
tomography
Artificial
intelligence
Semi-supervised
learning
Auto
encoder
Unsupervised
learning
A CONSORT-compliant prospective randomized controlled trial: radiation dose reducing in computed tomography using an additional lateral scout view combined with automatic tube current modulation
期刊论文
Medicine (Baltimore), 2017, 卷号: Vol.96 No.30, 页码: e7324
作者:
Wanlin Peng
;
Zhenlin Li
;
Chunchao Xia
;
Yingkun Guo
;
Jinge Zhang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/02/25
computed tomography
quality control
radiation dose
thorax
Comparison of image sensitivity between conventional tensor-based and fast diffusion kurtosis imaging protocols in a rodent model of acute ischemic stroke
期刊论文
NMR IN BIOMEDICINE, 2016
作者:
Wu, Yin
;
Kim, Jinsuh
;
Chan, Suk-Tak
;
Zhou, Iris Yuwen
;
Guo, Yingkun
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2017/01/15
A review of optimization and quantification techniques for chemical exchange saturation transfer MRI toward sensitive in vivo imaging
期刊论文
CONTRAST MEDIA & MOLECULAR IMAGING, 2015
作者:
Kim Jinsuh
;
Wu Yin
;
Guo Yingkun
;
Zheng Hairong
;
Sun Phillip Zhe
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2016/01/27
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