中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共9条，第1-9条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
AI4AD: Artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database 期刊论文
Brain Disorders, 2021, 卷号: 1, 期号: 1, 页码: 10005
作者:  Qu, Yida;  Wang, Pan;  Liu, Bing;  Song, Chengyuan;  Wang, Dawei;  Yang, Hongwei;  Zhang, Zengqiang;  Chen, Pindong;  Kang, Xiaopeng;  Du, Kai;  Yao, Hongxiang;  Zhou, Bo;  Han, Tong;  Zuo, Nianming;  Han, Ying;  Lu, Jie;  Yu, Chunshui;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Liu, Yong
Adobe PDF(957Kb)  |  收藏  |  浏览/下载：378/114  |  提交时间：2022/06/16
Alzheimer's disease (AD)  Diffusion tensor imaging (DTI)  Multisite  Automated fiber quantification (AFQ)  Classification  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：183/30  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19 期刊论文
ADVANCED THEORY AND SIMULATIONS, 2021, 页码: 9
作者:  Ye, Yang;  Zhang, Qingpeng;  Cao, Zhidong;  Chen, Frank Youhua;  Yan, Houmin;  Stanley, H. Eugene;  Zeng, Daniel Dajun
收藏  |  浏览/下载：218/0  |  提交时间：2021/12/28
coronavirus disease 2019  export restrictions  network  personal protective equipment  severe acute respiratory syndrome coronavirus 2  
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;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：272/49  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：192/1  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
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;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：255/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction  
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;  Liu, Shu;  Zheng, Yuanjie;  Li, Shuyu;  Liu, Bing;  Liu, Yong
收藏  |  浏览/下载：223/0  |  提交时间：2021/11/02
Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features  
New Trajectory of Clinical and Biomarker Changes in Sporadic Alzheimer's Disease 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 7, 页码: 3363-3373
作者:  Zhuo, Junjie;  Zhang, Yuanchao;  Liu, Yong;  Liu, Bing;  Zhou, Xiaoqing;  Bartlett, Perry F.;  Jiang, Tianzi
收藏  |  浏览/下载：217/0  |  提交时间：2021/08/15
beta-amyloid  biomarker trajectories  hippocampal volume  mild cognitive impairment  sporadic Alzheimer's disease  
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;  Mu, Xiaojie;  Li, Shuoyang;  Zheng, Rongqin;  Tian, Jie
收藏  |  浏览/下载：274/0  |  提交时间：2021/06/07
Liver disease  Hepatic cirrhosis  Elasticity imaging techniques  Deep learning