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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [9]
大连化学物理研究所 [2]
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武汉物理与数学研究所 [1]
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OAI收割 [15]
iSwitch采集 [1]
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期刊论文 [16]
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2023 [1]
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2020 [1]
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Science & ... [1]
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Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning
期刊论文
OAI收割
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:
Sun, Caixia
;
Luo, Tao
;
Liu, Zhenyu
;
Ge, Jia
;
Shao, Lizhi
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/02/22
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis
期刊论文
OAI收割
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725
作者:
Zhao, Lianhe
;
Dong, Qiongye
;
Luo, Chunlong
;
Wu, Yang
;
Bu, Dechao
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/12/01
Multi-omics
Deep learning
Survival analysis
Prognosis prediction
Interpretable model
Grading of Glioma: combined diagnostic value of amide proton transfer weighted, arterial spin labeling and diffusion weighted magnetic resonance imaging
期刊论文
OAI收割
BMC MEDICAL IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 8
作者:
Kang, Xiao-wei
;
Xi, Yi-bin
;
Liu, Ting-ting
;
Wang, Ning
;
Zhu, Yuan-qiang
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/06/22
Glioma
Magnetic resonance imaging
Arterial spin labeling
Amide proton transfer
Apparent diffusion coefficient
Differentiation of primary central nervous system lymphoma from high-grade glioma and brain metastasis using arterial spin labeling and dynamic contrast-enhanced magnetic resonance imaging
期刊论文
OAI收割
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 112, 页码: 59-64
作者:
Xi, Yi-bin
;
Kang, Xiao-wei
;
Wang, Ning
  |  
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2019/07/12
Primary central nervous system lymphoma
High-grade glioma
Metastasis
Arterial spin labeling
Dynamic contrast-enhanced perfusion
Integrated Metabolomics and Lipidomics Analyses Reveal Metabolic Reprogramming in Human Glioma with IDH1 Mutation
期刊论文
OAI收割
JOURNAL OF PROTEOME RESEARCH, 2019, 卷号: 18, 期号: 3, 页码: 960-969
作者:
Xu, Guowang
;
Zhou, Lina
;
Wang, Zhichao
;
Hu, Chunxiu
;
Zhang, Chaoqi
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2019/06/20
glioma
IDH1
metabolomics
lipidomics
metabolic reprogramming
Integrated metabolomics and lipidomics analyses reveal metabolic reprogramming in human glioma with idh1 mutation
期刊论文
iSwitch采集
Journal of proteome research, 2019, 卷号: 18, 期号: 3, 页码: 960-969
作者:
Zhou, Lina
;
Wang, Zhichao
;
Hu, Chunxiu
;
Zhang, Chaoqi
;
Kovatcheva-Datchary, Petia
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2019/05/08
Glioma
Idh1
Metabolomics
Lipidomics
Metabolic reprogramming
IDH mutation-specific radiomic signature in lower-grade gliomas
期刊论文
OAI收割
AGING-US, 2019, 卷号: 11, 期号: 2, 页码: 673-696
作者:
Liu, Xing
;
Li, Yiming
;
Li, Shaowu
;
Fan, Xing
;
Sun, Zhiyan
  |  
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2019/07/12
isocitrate dehydrogenase
lower grade gliomas
radiomic signature
transcriptome-radiomic analysis
prognostic signature
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
期刊论文
OAI收割
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:
Han, Yuqi
;
Xie, Zhen
;
Zang, Yali
;
Zhang, Shuaitong
;
Gu, Dongsheng
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2019/07/12
Lower-grade glioma
1p
19q Co-deletion
Prediction
Radiomics
Magnetic resonance imaging
Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature
期刊论文
OAI收割
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2960-2968
作者:
Li, Yiming
;
Liu, Xing
;
Qian, Zenghui
;
Sun, Zhiyan
;
Xu, Kaibin
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2018/10/10
Magnetic Resonance Imaging
Genetics
Biomarkers
Glioma
Machine Learning
A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas
期刊论文
OAI收割
NEUROIMAGE-CLINICAL, 2018, 卷号: 20, 页码: 1070-1077
作者:
Liu, Xing
;
Li, Yiming
;
Qian, Zenghui
;
Sun, Zhiyan
;
Xu, Kaibin
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/07/12
Radiomic analysis
Lower-grade gliomas
Progression-free survival
Radiogenomics