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A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：116/23  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
收藏  |  浏览/下载：192/0  |  提交时间：2023/12/21
Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)  
Magnetic Particle Imaging-Guided Hyperthermia for Precise Treatment of Cancer: Review, Challenges, and Prospects 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2023, 页码: 14
作者:  Lei, Siao;  He, Jie;  Gao, Pengli;  Wang, Yueqi;  Hui, Hui;  An, Yu;  Tian, Jie
收藏  |  浏览/下载：134/0  |  提交时间：2023/11/15
Magnetic particle imaging  Magnetic fluid hyperthermia  Cancer  Precise treatment  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：483/58  |  提交时间：2023/03/20
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：327/77  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 150, 页码: 10
作者:  Shao, Lizhi;  Liu, Zhenyu;  Liu, Jiangang;  Yan, Ye;  Sun, Kai;  Liu, Xiangyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：251/0  |  提交时间：2022/11/21
mp-MRI  Prostate cancer  Grade group  Patient-level prediction  Deep learning  
New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载：434/98  |  提交时间：2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan'an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
收藏  |  浏览/下载：467/0  |  提交时间：2022/09/19
Magnetic resonance imaging  Generative adversarial networks  Task analysis  Three-dimensional displays  Training  Generators  Data models  Alzheimer's disease  magnetic resonance imaging  generative adversarial 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：338/0  |  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  
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：313/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging