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科研机构
自动化研究所 [12]
内容类型
期刊论文 [12]
发表日期
2022 [4]
2021 [5]
2020 [2]
2016 [1]
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Treatment of the New Era: Long-Term Ticagrelor Monotherapy for the Treatment of Patients with Type 2 Diabetes Mellitus following Percutaneous Coronary Intervention: A Meta-analysis
期刊论文
DIABETES THERAPY, 2022, 页码: 15
作者:
Wang, Hong
;
Xie, Xiaoya
;
Zu, Quannan
;
Lu, Ming
;
Chen, Rongfa
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2023/01/09
Percutaneous coronary intervention
Type 2 diabetes mellitus
Ticagrelor
Dual antiplatelet therapy
Monotherapy
Bleeding
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
Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI
期刊论文
LIVER INTERNATIONAL, 2022, 页码: 15
作者:
Jiang, Hanyu
;
Wei, Jingwei
;
Fu, Fangfang
;
Wei, Hong
;
Qin, Yun
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/06
diagnosis
gadoxetate disodium-enhanced MRI
hepatocellular carcinoma
microvascular invasion
survival
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis
期刊论文
BMC MEDICINE, 2022, 卷号: 20, 期号: 1, 页码: 15
作者:
Tong, Tong
;
Gu, Jionghui
;
Xu, Dong
;
Song, Ling
;
Zhao, Qiyu
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/06
Deep learning
Artificial intelligence
Pancreatic ductal adenocarcinoma
Contrast-enhanced ultrasound
Chronic pancreatitis
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:
An, Chao
;
Li, Dongyang
;
Li, Sheng
;
Li, Wangzhong
;
Tong, Tong
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/12/28
Lymph node metastases
Pancreatic ductal adenocarcinoma
Deep learning
Dual-energy computed tomography
Prognosis
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:40/0
  |  
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
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research
期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:
Wang, Siwen
;
Dong, Di
;
Zhang, Wenjuan
;
Hu, Hui
;
Li, Hailin
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/11/02
advanced gastric cancer
Borrmann classification
ensemble learning
multilayer perceptron networks
radiomics
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer
期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
作者:
Wang,Xiaoxiao
;
Li,Cong
;
Fang,Mengjie
;
Zhang,Liwen
;
Zhong,Lianzhen
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2021/04/06
Stomach cancer
Lymph nodes
Nomogram
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma
期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:
Fu, Sirui
;
Pan, Meiqing
;
Zhang, Jie
;
Zhang, Hui
;
Tang, Zhenchao
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/11/03
aggressive disease progression
deep learning radiomics
clinical factors
high-risk
risk prediction
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence
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