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基于2D-3D多维CT影像组学特征的胃癌分期预测方法研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  孟令威
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影像组学  模式识别  计算机辅助诊断  人工智能  计算机断层扫描成像  胃癌  
基于Unet编码块迁移学习的胃印戒细胞癌诊断研究 学位论文
, 北京市海淀区中国科学院自动化研究所智能化大厦910: 中国科学院大学-中国科学院自动化研究所, 2021
Authors:  李聪
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胃印戒细胞癌  迁移学习  深度学习  诊断  生存期  
基于病理图像的细胞生物标志物表达预测算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  边畅
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深度学习,半监督学习,细胞生物标志物,苏木精-伊红染色,多光谱免疫荧光染色,数字病理技术  
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  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
Authors:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
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Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
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molecular imaging, machine learning, artificial intelligence  
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
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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)  
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer 期刊论文
EBIOMEDICINE, 2020, 卷号: 60, 页码: 11
Authors:  Guo, Xu;  Liu, Zhenyu;  Sun, Caixia;  Zhang, Lei;  Wang, Ying;  Li, Ziyao;  Shi, Jiaxin;  Wu, Tong;  Cui, Hao;  Zhang, Jing;  Tian, Jie;  Tian, Jiawei
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Deep learning radiomics  Ultrasonography  Primary breast cancer  Axillary management  NSLN metastasis in the axilla  
Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
Authors:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  Favorite  |  View/Download:23/0  |  Submit date:2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor