中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共22条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images 会议论文
, Mexico, Oct 31 - Nov 4, 2021
作者:  Wang Siwen;  Dong Di;  Li Hailin;  Feng Caizhen;  Wang Yi;  Tian Jie
Adobe PDF(1071Kb)  |  收藏  |  浏览/下载：186/40  |  提交时间：2022/06/14
CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 12
作者:  Li, Wenbo;  Zeng, Guanzhong;  Zhang, Juncheng;  Xu, Yan;  Xing, Yang;  Zhou, Rui;  Guo, Gang;  Shen, Yu;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：187/0  |  提交时间：2022/01/27
Emotion recognition  Feature extraction  Cognitive processes  Face recognition  Task analysis  Information processing  Convolutional neural networks  Affective computing  driver emotion  facial expression  human-machine interaction (HMI)  smart cockpit  
Joint Deep Multi-View Learning for Image Clustering 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 11, 页码: 3594-3606
作者:  Xie, Yuan;  Lin, Bingqian;  Qu, Yanyun;  Li, Cuihua;  Zhang, Wensheng;  Ma, Lizhuang;  Wen, Yonggang;  Tao, Dacheng
收藏  |  浏览/下载：207/0  |  提交时间：2021/11/03
Clustering methods  Feature extraction  Electronic mail  Correlation  Learning systems  Clustering algorithms  Machine learning  Multi-view clustering  deep learning  multi-view fusion  
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;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：246/0  |  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  
Semi-supervised Temporal Action Proposal Generation via Exploiting 2-d Proposal Map 期刊论文
IEEE Transactions on Multimedia, 2021, 页码: 3624 - 3635
作者:  Wang, Weining;  Lin, Tianwei;  He, Dongliang;  Li, Fu;  Wen, Shilei;  Wang, Liang;  Liu, Jing
Adobe PDF(4851Kb)  |  收藏  |  浏览/下载：122/20  |  提交时间：2023/05/03
Semi-supervised learning  proposal map oriented mean-teacher  pseudo label  
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;  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
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：354/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：221/33  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
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：257/45  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
基于数据与知识双驱动的智能医疗问答系统研究 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
作者:  李文博
Adobe PDF(2865Kb)  |  收藏  |  浏览/下载：215/6  |  提交时间：2021/06/24
高血压  问答系统  知识图谱  深度学习  命名实体识别  
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;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：248/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography