CASIA OpenIR

浏览/检索结果: 共23条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2023, 卷号: 14, 期号: 5, 页码: 2225-2239
作者:  An, Yu;  Wang, Hanfan;  Li, Jiaqian;  Li, Guanghui;  Ma, Xiaopeng;  Du, Yang;  Tian, Jie
收藏  |  浏览/下载:43/0  |  提交时间:2023/11/17
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:374/58  |  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  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:258/23  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载:309/61  |  提交时间:2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
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  
The first visualization of chemotherapy-induced tumor apoptosis via magnetic particle imaging in a mouse model 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 19, 页码: 11
作者:  Liang, Xin;  Wang, Kun;  Du, Jiangfeng;  Tian, Jie;  Zhang, Hui
收藏  |  浏览/下载:192/0  |  提交时间:2021/01/07
magnetic particle imaging  apoptosis  nanoparticle  preclinical  mice  tumor  
Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients 期刊论文
LIVER CANCER, 2020, 卷号: 9, 期号: 4, 页码: 397-413
作者:  Liu, Fei;  Liu, Dan;  Wang, Kun;  Xie, Xiaohua;  Su, Liya;  Kuang, Ming;  Huang, Guangliang;  Peng, Baogang;  Wang, Yuqi;  Lin, Manxia;  Tian, Jie;  Xie, Xiaoyan
浏览  |  Adobe PDF(1066Kb)  |  收藏  |  浏览/下载:338/81  |  提交时间:2020/09/07
Contrast-enhanced ultrasound  Hepatocellular carcinoma  Radiomics  Radiofrequency ablation  Surgical resection  
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  
Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 5, 页码: 1429-1437
作者:  Jiang, Shixin;  Liu, Jie;  An, Yu;  Gao, Yuan;  Meng, Hui;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载:238/0  |  提交时间:2020/06/22
Fluorescence  Image reconstruction  Tumors  Reconstruction algorithms  Morphology  Photonics  Inverse problems  Fluorescence molecular tomography  group sparsity  image reconstruction  morphological reconstruction  
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