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Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
Authors:  Wei, Shengcai;  Han, Yuqi;  Zeng, Hanjiang;  Ye, Shuai;  Cheng, Jin;  Chai, Fan;  Wei, Jingwei;  Zhang, Jianwei;  Hong, Nan;  Bao, Yudi;  Zhou, Jing;  Ye, Yingjiang;  Meng, Xiaochun;  Zhou, Yuwen;  Deng, Yanhong;  Qiu, Meng;  Tian, Jie;  Wang, Yi
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Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab  
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
Authors:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Favorite  |  View/Download:7/0  |  Submit date:2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
Quantitative Radiomic Features as New Biomarkers for Alzheimer's Disease: An Amyloid PET Study 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 8, 页码: 3950-3961
Authors:  Ding, Yanhui;  Zhao, Kun;  Che, Tongtong;  Du, Kai;  Sun, Hongzan;  Liu, Shu;  Zheng, Yuanjie;  Li, Shuyu;  Liu, Bing;  Liu, Yong
Favorite  |  View/Download:6/0  |  Submit date:2021/11/02
Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features  
Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2021, 卷号: 14, 期号: 8, 页码: 7
Authors:  Liu, Yujia;  Fan, Huijian;  Dong, Di;  Liu, Ping;  He, Bingxi;  Meng, Lingwei;  Chen, Jiaming;  Chen, Chunlin;  Lang, Jinghe;  Tian, Jie
Favorite  |  View/Download:6/0  |  Submit date:2021/11/03
Cervical cancer  Lymph node metastasis  Radiomics  Preoperative prediction  Classifiers  
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
Authors:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Favorite  |  View/Download:11/0  |  Submit date:2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients 期刊论文
NPJ PRECISION ONCOLOGY, 2021, 卷号: 5, 期号: 1, 页码: 9
Authors:  Yan, Jing;  Zhang, Bin;  Zhang, Shuaitong;  Cheng, Jingliang;  Liu, Xianzhi;  Wang, Weiwei;  Dong, Yuhao;  Zhang, Lu;  Mo, Xiaokai;  Chen, Qiuying;  Fang, Jin;  Wang, Fei;  Tian, Jie;  Zhang, Shuixing;  Zhang, Zhenyu
Favorite  |  View/Download:5/0  |  Submit date:2021/11/02
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
Authors:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Favorite  |  View/Download:8/0  |  Submit date:2021/11/02
COVID-19  Deep learning  Radiomics  Hospitals  Computed tomography  Lung  Solid modeling  COVID-19  deep learning  radiomics  prognosis  computed tomography  
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
Adobe PDF(3289Kb)  |  Favorite  |  View/Download:42/0  |  Submit date:2021/06/16
胃印戒细胞癌  迁移学习  深度学习  诊断  生存期  
基于影像组学的肝细胞癌预后因子预测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  顾东升
Adobe PDF(19880Kb)  |  Favorite  |  View/Download:43/1  |  Submit date:2021/06/16
影像组学,肝细胞癌,预后因子,无创诊断,深度学习