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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
Authors:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
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Stomach cancer  Lymph nodes  Nomogram  
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1067-1078
Authors:  Jinpeng Li;  Yaling Tao;  Ting Cai
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Cancer prevention  discriminative model  generative model  lung cancer  machine learning  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 期号: 99, 页码: 1
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
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adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
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
Authors:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  Favorite  |  View/Download:20/0  |  Submit date:2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
Authors:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
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COVID-19  radiomics  deep learning  computed tomography (CT)  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  Favorite  |  View/Download:49/0  |  Submit date:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Computational Bioinformatics and Machine Learning Models to Identify the Diseasome and Neurological Disease Comorbidities 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  Md Habibur Rahman
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疾病共病鉴定  生存分析  生物信息学  机器学习  2 型糖尿病  神经系统疾病  胶质母细胞瘤  通路  基因本体  蛋白质  
乳腺癌近红外激发荧光成像方法研究和临床应用探索 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  张崇
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近红外激发荧光成像  手术导航  图像处理  乳腺癌  
基于深度学习策略的超声多模态影像组学方法研究 学位论文
, 中国科学院大学自动化研究所: 中国科学院大学, 2020
Authors:  周辉
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超声成像  深度学习  影像组学  无创诊断  人工智能  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
Authors:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
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Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis