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浏览/检索结果: 共10条，第1-10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 Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736 作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/28 COVID-19  Computed tomography  Measurement  Hospitals  Loss measurement  Training  Task analysis  Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis   3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文 INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935 作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei 收藏  |  浏览/下载：41/0  |  提交时间：2021/12/28 Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review 期刊论文 ADVANCES IN THERAPY, 2021, 页码: 9 作者:  Wang, Hong;  Zu, Quannan;  Chen, Jinglu;  Yang, Zhiren;  Ahmed, Mohammad Anis 收藏  |  浏览/下载：60/0  |  提交时间：2021/11/04 Artificial intelligence  Machine learning  Acute coronary syndrome  Percutaneous coronary intervention  Mortality  Myocardial infarction  Major adverse cardiac events   Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease 期刊论文 JOURNAL OF HYPERTENSION, 2021, 卷号: 39, 期号: 8, 页码: 1717-1724 作者:  Tse, Gary;  Zhou, Jiandong;  Lee, Sharen;  Wong, Wing Tak;  Li, Xintao 收藏  |  浏览/下载：75/0  |  提交时间：2021/08/15 angiotensin receptor blockers  angiotensin-converting enzyme inhibitors  COVID-19 incidence   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   Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文 CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19 作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng 收藏  |  浏览/下载：55/0  |  提交时间：2021/06/15 hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning   Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease 期刊论文 EUROPEAN RADIOLOGY, 2021, 页码: 12 作者:  Lu, Xue;  Zhou, Hui;  Wang, Kun;  Jin, Jieyang;  Meng, Fankun 收藏  |  浏览/下载：49/0  |  提交时间：2021/06/07 Liver disease  Hepatic cirrhosis  Elasticity imaging techniques  Deep learning   Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong 期刊论文 NPJ DIGITAL MEDICINE, 2021, 卷号: 4, 期号: 1, 页码: 9 作者:  Zhou, Jiandong;  Lee, Sharen;  Wang, Xiansong;  Li, Yi;  Wu, William Ka Kei 收藏  |  浏览/下载：45/0  |  提交时间：2021/05/17 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：37/0  |  提交时间：2021/11/03 aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction   CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文 Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: -- 作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li 收藏  |  浏览/下载：42/0  |  提交时间：2022/04/06 Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics