中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共17条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging 期刊论文
BIOLOGY-BASEL, 2024, 卷号: 13, 期号: 1, 页码: 17
作者:  Shang, Yaxin;  Liu, Jie;  Wang, Yueqi;  Bertrand, Helene
Adobe PDF(15462Kb)  |  收藏  |  浏览/下载：81/11  |  提交时间：2024/03/26
magnetic particle imaging  convolutional neural network  transformer  tumor imaging  accurate quantification  
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：121/9  |  提交时间：2024/02/22
magnetic particle imaging  end-to-end reconstruction  deep learning  image reconstruction  
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载：101/5  |  提交时间：2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
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：200/17  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
MSMFN: An ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy 期刊论文
IEEE Transactions on Medical Imaging, 2022, 页码: 1-13
作者:  Zheling, Meng;  Yangyang, Zhu;  Wenjing, Pang;  Jie, Tian;  Fang, Nie;  Kun, Wang
Adobe PDF(3049Kb)  |  收藏  |  浏览/下载：368/62  |  提交时间：2023/03/27
Elimination of stripe artifacts in light sheet fluorescence microscopy using an attention-based residual neural network 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 3, 页码: 1292-1311
作者:  Wei, Zechen;  Wu, Xiangjun;  Tong, Wei;  Zhang, Suhui;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6522Kb)  |  收藏  |  浏览/下载：270/16  |  提交时间：2022/06/06
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：314/59  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：218/45  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：427/65  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：360/65  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence