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A unified end-to-end classification model for focal liver lesions 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 86, 页码: 9
作者:  Zhao, Ling;  Liu, Shuaiqi;  An, Yanling;  Cai, Wenjia;  Li, Bing;  Wang, Shui-Hua;  Liang, Ping;  Yu, Jie;  Zhao, Jie
收藏  |  浏览/下载：45/0  |  提交时间：2024/03/26
Medical image classification Contrast -enhanced  ultrasound  Focal liver lesions  Deep learning  
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin;  Guan, Jian;  Zhang, Ye;  Xiao-Fei, Lv;  Xie, Chuan-Miao;  Luo, Dong-Hua;  Sun, Rui;  Chen, Qiu-Yan;  Xing, Lv;  Guo, Shan-Shan;  Liu, Li-Ting;  Lin, Da-Feng;  Chen, Yan-Zhou;  Lin, Jie-Yi;  Luo, Mei-Juan;  Yan, Wen-Bin;  He, Mei-Lin;  Mao, Meng-Yuan;  Zhu, Man-Yi;  Chen, Wen-Hui;  Shen, Bo-Wen;  Wang, Shi-Qian;  Li, Hai-Lin;  Zhong, Lian-Zhen;  Hu, Chao-Su;  Wu, De-Hua;  Mai, Hai-Qiang;  Tian, Jie;  Tang, Lin-Quan
收藏  |  浏览/下载：84/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 1954-1965
作者:  Niu, Mingyue;  Zhao, Ziping;  Tao, Jianhua;  Li, Ya;  Schuller, Bjorn
收藏  |  浏览/下载：126/0  |  提交时间：2023/11/15
Depression  Feature extraction  Tensors  Databases  Spatiotemporal phenomena  Convolutional neural networks  Physiology  DAER network  depression level prediction  dual attention block  element recalibration block  facial differences  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：244/55  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability