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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：655/357  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
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：412/110  |  提交时间：2020/11/02
2D echocardiography  Cardiac structure segmentation  Pyramid local attention  Label coherence learning  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：248/46  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：319/57  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 卷号: 52, 期号: 6, 页码: 1679-1687
作者:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  收藏  |  浏览/下载：231/37  |  提交时间：2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：326/52  |  提交时间：2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 5, 页码: 3004-3014
作者:  Wang, Wentao;  Gu, Dongsheng;  Wei, Jingwei;  Ding, Ying;  Yang, Li;  Zhu, Kai;  Luo, Rongkui;  Rao, Sheng-Xiang;  Tian, Jie;  Zeng, Mengsu
Adobe PDF(998Kb)  |  收藏  |  浏览/下载：353/55  |  提交时间：2020/03/30
Diagnosis  Cytokeratin 19  Hepatocellular carcinoma  
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：280/72  |  提交时间：2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences 期刊论文
Medical Image Analysis, 2020, 卷号: 65, 期号: 65, 页码: 101793
作者:  Fei Liu;  Dan Liu;  Jie Tian;  Xiaoyan Xie;  Xin Yang;  Wang K(王坤)
浏览  |  Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：188/55  |  提交时间：2020/11/02
Ultrasound sequence  Respiratory motion estimation  Cascaded Siamese network  One-shot deformable convolution  
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：331/56  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence