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科研机构
自动化研究所 [26]
内容类型
期刊论文 [25]
会议论文 [1]
发表日期
2023 [3]
2022 [4]
2021 [5]
2020 [6]
2019 [3]
2018 [2]
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Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning
期刊论文
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:4/0
  |  
提交时间:2024/02/22
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study
期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:
Liu, Ting
;
Dong, Di
;
Zhao, Xun
;
Ou, Xiao-Min
;
Yi, Jun-Lin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/02/22
Recurrent nasopharyngeal carcinoma
Re-radiotherapy
Nasopharyngeal necrosis
Radiomics
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
期刊论文
ECLINICALMEDICINE, 2023, 卷号: 65, 页码: 14
作者:
Zhao, Kun
;
Chen, Pindong
;
Alexander-Bloch, Aaron
;
Wei, Yongbin
;
Dyrba, Martin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/02/22
Alzheimer's disease
Neuroimaging biomarker
Multisite
Specific
Longitudinal progression
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:
Zhang, Liwen
;
Zhong, Lianzhen
;
Li, Cong
;
Zhang, Wenjuan
;
Hu, Chaoen
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/07/25
Overall survival
Deep learning
Computed tomography (CT)
Neural network
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:
Sun, Caixia
;
Li, Bingbing
;
Wei, Genxia
;
Qiu, Weihao
;
Li, Danyi
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/07/25
Chemotherapy duration
Whole slide images
Deep learning
Colorectal cancer
Prognosis
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:
Zhao, Xun
;
Liang, Yu-Jing
;
Zhang, Xu
;
Wen, Dong-Xiang
;
Fan, Wei
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/06/10
Recurrent nasopharyngeal carcinoma
Survival analysis
Radiomics
Deep learning
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk
期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:
He, Bing-Xi
;
Zhong, Yi-Fan
;
Zhu, Yong-Bei
;
Deng, Jia-Jun
;
Fang, Meng-Jie
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/06/10
Tumor biomarkers
immunotherapy
lung neoplasms
programmed cell death 1 receptor (PD-1 receptor)
biostatistics
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:
Zhang, Liwen
;
Dong, Di
;
Zhong, Lianzhen
;
Li, Cong
;
Hu, Chaoen
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/12/28
Hazards
Feature extraction
Computed tomography
Cancer
Radiomics
Indexes
Bioinformatics
Overall survival
gastric cancer
multi-level
CT image
deep learning
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study
期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:
Zhong, Lianzhen
;
Dong, Di
;
Fang, Xueliang
;
Zhang, Fan
;
Zhang, Ning
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/11/03
Multi-task deep learning
Radiomic nomogram
Survival analysis
Treatment decision
Advanced nasopharyngeal carcinoma
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:
Wang, Siwen
;
Dong, Di
;
Li, Liang
;
Li, Hailin
;
Bai, Yan
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/11/02
COVID-19
Deep learning
Radiomics
Hospitals
Computed tomography
Lung
Solid modeling
COVID-19
deep learning
radiomics
prognosis
computed tomography
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