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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  
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载：285/74  |  提交时间：2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 卷号: 36, 期号: 11, 页码: 2343-2354
作者:  Gao, Yuan;  Wang, Kun;  Jiang, Shixin;  Liu, Yuhao;  Ai, Ting;  Tian, Jie
浏览  |  Adobe PDF(1962Kb)  |  收藏  |  浏览/下载：564/185  |  提交时间：2018/01/02
Bioluminescence Tomography  Multimodality Fusion  Brain  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载：552/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis  
Fast in vivo bioluminescence tomography using a novel pure optical imaging technique 期刊论文
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2017, 卷号: 10, 期号: 3
作者:  Zhang, Shuang;  Leng, Chengcai;  Liu, Hongbo;  Wang, Kun;  Tian, Jie
Adobe PDF(435Kb)  |  收藏  |  浏览/下载：299/58  |  提交时间：2017/07/18
Optical Surface Reconstruction  Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Light Flux Reconstruction  
Reconstruction Method for In Vivo Bioluminescence Tomography Based on the Split Bregman Iterative and Surrogate Functions 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2017, 卷号: 19, 期号: 2, 页码: 245-255
作者:  Zhang, Shuang;  Wang, Kun;  Liu, Hongbo;  Leng, Chengcai;  Gao, Yuan;  Tian, Jie
Adobe PDF(3239Kb)  |  收藏  |  浏览/下载：281/100  |  提交时间：2017/07/18
Bioluminescence Tomography Reconstruction  Optical Molecular Imaging  Split Bregman Method  Surrogate Functions  
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 663-673
作者:  Shen, Wei;  Zhou, Mu;  Yang, Feng;  Yu, Dongdong;  Dong, Di;  Yang, Caiyun;  Zang, Yali;  Tian, Jie;  Feng Yang, Jie Tian
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载：1281/596  |  提交时间：2016/10/21
Lung Nodule  Malignancy Suspiciousness  Convolutional Neural Network  Multi-crop Pooling  
Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 卷号: 63, 期号: 8, 页码: 1653-1664
作者:  Yu, Dongdong;  Yang, Feng;  Yang, Caiyun;  Leng, Chengcai;  Cao, Jian;  Wang, Yining;  Tian, Jie
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：419/137  |  提交时间：2016/10/20
Accelerated Nsift  Medical Imaging  Parallel OptimizatiOn Based On Gaussian Mixture Model  Rigid Image Registration  Rotation-free  
Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5315-5329
作者:  Li, Guodong;  Chen, Xinjian;  Shi, Fei;  Zhu, Weifang;  Tian, Jie;  Xiang, Dehui
浏览  |  Adobe PDF(5250Kb)  |  收藏  |  浏览/下载：465/168  |  提交时间：2015/11/12
Liver Segmentation  Principal Component Analysis  Euclidean Distance Transformation  Deformable Graph Cut