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A3GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 页码: 2776-2790
作者:  Yunfan Liu;  Qi Li;  Zhenan Sun;  Tieniu Tan
Adobe PDF(4213Kb)  |  收藏  |  浏览/下载：73/16  |  提交时间：2023/06/20
The Model May Fit You: User-Generalized Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 24, 页码: 2998-3012
作者:  Ma, Xinhong;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(6549Kb)  |  收藏  |  浏览/下载：262/49  |  提交时间：2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
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;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：181/40  |  提交时间：2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Aspiration dynamics generate robust predictions in heterogeneous populations 期刊论文
Nature Communications, 2021, 期号: 12, 页码: 3250
作者:  Zhou L(周雷);  Wu B;  Du J;  Wang L
Adobe PDF(939Kb)  |  收藏  |  浏览/下载：154/49  |  提交时间：2022/04/06
Complex networks, game, aspiration, evolutionary dynamics  
Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition 期刊论文
JOURNAL OF PERSONALIZED MEDICINE, 2021, 卷号: 11, 期号: 11, 页码: 15
作者:  Wu, Danning;  Chen, Shi;  Zhang, Yuelun;  Zhang, Huabing;  Wang, Qing;  Li, Jianqiang;  Fu, Yibo;  Wang, Shirui;  Yang, Hongbo;  Du, Hanze;  Zhu, Huijuan;  Pan, Hui;  Shen, Zhen
Adobe PDF(2141Kb)  |  收藏  |  浏览/下载：314/85  |  提交时间：2022/01/27
artificial intelligence  computer-aided diagnosis  facial phenotypes  machine learning  complexity theory  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：307/61  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：188/48  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks  
epsilon-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Daniel Dajun
Adobe PDF(2484Kb)  |  收藏  |  浏览/下载：269/85  |  提交时间：2021/12/28
Privacy preservation  Anonymization  Graph neural networks  Social network  
Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700
作者:  Shao, Lizhi;  Liu, Zhenyu;  Yan, Ye;  Liu, Jiangang;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：306/0  |  提交时间：2021/12/28
Magnetic resonance imaging  Principal component analysis  Pathology  Lesions  Optimization  Task analysis  Predictive models  Gleason score  prostate cancer  patient-level prediction  joint optimization  MRI  reinforcement learning  
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