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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2021    专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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   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 作者:  Wei, Shengcai;  Han, Yuqi;  Zeng, Hanjiang;  Ye, Shuai;  Cheng, Jin 收藏  |  浏览/下载：69/0  |  提交时间：2021/11/03 Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab   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   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 作者:  Ding, Yanhui;  Zhao, Kun;  Che, Tongtong;  Du, Kai;  Sun, Hongzan 收藏  |  浏览/下载：79/0  |  提交时间：2021/11/02 Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features   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   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