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DERnet: a deep neural network for end-to-end reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 1, 页码: 15
作者:  Peng, Zhengyao;  Yin, Lin;  Sun, Zewen;  Liang, Qian;  Ma, Xiaopeng;  An, Yu;  Tian, Jie;  Du, Yang
Adobe PDF(1035Kb)  |  收藏  |  浏览/下载：109/6  |  提交时间：2024/02/22
magnetic particle imaging  end-to-end reconstruction  deep learning  image reconstruction  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载：68/8  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
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：97/15  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer 期刊论文
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2023, 卷号: 24, 期号: 8, 页码: 663-681
作者:  Zhu, Xuehua;  Shao, Lizhi;  Liu, Zhenyu;  Liu, Zenan;  He, Jide;  Liu, Jiangang;  Ping, Hao;  Lu, Jian
收藏  |  浏览/下载：150/0  |  提交时间：2023/11/17
Magnetic resonance imaging (MRI)  Radiomics  Prostate cancer  Predictive model  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：184/13  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
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：445/56  |  提交时间：2023/03/20
A Review of the Methods on Cobb Angle Measurements for Spinal Curvature 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 9, 页码: 19
作者:  Jin, Chen;  Wang, Shengru;  Yang, Guodong;  Li, En;  Liang, Zize
Adobe PDF(4721Kb)  |  收藏  |  浏览/下载：210/4  |  提交时间：2022/07/25
scoliosis  Cobb angle measurement  deep learning  image enhancement  
A review of advances in imaging methodology in fluorescence molecular tomography 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 10, 页码: 25
作者:  Zhang, Peng;  Ma, Chenbin;  Song, Fan;  Fan, Guangda;  Sun, Yangyang;  Feng, Youdan;  Ma, Xibo;  Liu, Fei;  Zhang, Guanglei
收藏  |  浏览/下载：215/0  |  提交时间：2022/06/10
fluorescence tomography  forward and inverse problem  ill-posedness  reconstruction method  deep learning  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：356/50  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 3, 页码: 657-666
作者:  An, Yu;  Bian, Chang;  Yan, Daxiang;  Wang, Hanfan;  Wang, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8285Kb)  |  收藏  |  浏览/下载：352/65  |  提交时间：2022/06/06
Imaging  Image reconstruction  Mice  In vivo  Image segmentation  Finite element analysis  Surface reconstruction  Fluorescence molecular tomography  imaging reconstruction  standardized imaging space