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Dynamic residual Kaczmarz method for noise reducing reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 14, 页码: 17
作者:  Zhang, Peng;  Liu, Jie;  Li, Yimeng;  Zhu, Tao;  Yin, Lin;  An, Yu;  Zhong, Jing;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：218/0  |  提交时间：2023/11/17
magnetic particle imaging  reconstruction method  inverse problem  
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载：446/74  |  提交时间：2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases 期刊论文
MEDICAL PHYSICS, 2020, 页码: 10
作者:  Wei, Jingwei;  Cheng, Jin;  Gu, Dongsheng;  Chai, Fan;  Hong, Nan;  Wang, Yi;  Tian, Jie
收藏  |  浏览/下载：251/0  |  提交时间：2021/01/06
colorectal liver metastases  chemotherapy  radiomics  contrast‐  enhanced multidetector computed tomography  deep learning  
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data 期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:  Tong Tong;  Wenhui Huang;  Kun Wang;  Zicong He;  Lin Yin;  Xin Yang;  Shuixing Zhang;  Jie Tian
Adobe PDF(9199Kb)  |  收藏  |  浏览/下载：240/68  |  提交时间：2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
Deep Pyramid Local Attention Neural Network for Cardiac Structure Segmentation in Two-dimensional Echocardiography 期刊论文
Medical Image Analysis, 2021, 卷号: 67, 期号: 67, 页码: 101873
作者:  Fei Liu;  Wang K(王坤);  Dan Liu;  Xin Yang;  Jie Tian
浏览  |  Adobe PDF(3848Kb)  |  收藏  |  浏览/下载：465/120  |  提交时间：2020/11/02
2D echocardiography  Cardiac structure segmentation  Pyramid local attention  Label coherence learning  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：311/74  |  提交时间：2020/10/25
Computed tomography (CT)  
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics 期刊论文
BMC Medical Imaging, 2020, 卷号: 20, 期号: 1, 页码: 11
作者:  Su,Jie-hua;  Meng,Ling-wei;  Dong,Di;  Zhuo,Wen-yan;  Wang,Jian-ming;  Liu,Li-bin;  Qin,Yi;  Tian,Ye;  Tian,Jie;  Li,Zhao-hui
收藏  |  浏览/下载：288/0  |  提交时间：2020/07/20
Stroke  Infarction  Radiomics  Tomography  X-ray computed  
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 卷号: 67, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
作者:  Kong, Lingxin;  An, Yu;  Liang, Qian;  Yin, Lin;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(4495Kb)  |  收藏  |  浏览/下载：320/98  |  提交时间：2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(4698Kb)  |  收藏  |  浏览/下载：309/80  |  提交时间：2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：388/66  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence