中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共14条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning 会议论文
, 线上, 2022-4
作者:  Qi Qiu;  Kai Sun;  Jing Zhang;  Panpan Liu;  Liang Wang;  Junting Zhang;  Junlin Zhou;  Zhenyu Liu;  Jie Tian
Adobe PDF(277Kb)  |  收藏  |  浏览/下载：151/37  |  提交时间：2023/06/28
Deep learning  Meningioma  Sinus invasion  Multimodal fusion  
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images 会议论文
, Mexico, Oct 31 - Nov 4, 2021
作者:  Wang Siwen;  Dong Di;  Li Hailin;  Feng Caizhen;  Wang Yi;  Tian Jie
Adobe PDF(1071Kb)  |  收藏  |  浏览/下载：188/41  |  提交时间：2022/06/14
The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method 会议论文
, Houston, USA, 2020-2-16
作者:  Lingxin Kong;  Yu An;  Yang Du;  Jie Tian
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：257/62  |  提交时间：2020/06/15
Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文
, The Moscone Center, San Francisco, California, USA, 2019-02-02
作者:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
Adobe PDF(587Kb)  |  收藏  |  浏览/下载：361/147  |  提交时间：2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
Adobe PDF(540Kb)  |  收藏  |  浏览/下载：392/92  |  提交时间：2019/04/30
A novel matrix used in regularization term for model-based photoacoustic reconstructions 会议论文
, San Francisco, CA, United states, January 28, 2018 - February 1, 2018
作者:  Tong, Tong;  Wang, Kun;  Tian, Jie
Adobe PDF(757Kb)  |  收藏  |  浏览/下载：107/37  |  提交时间：2022/06/14
Photoacoustic tomography  Image reconstruction  Regularization  Central-Enhancement Laplace matrix  
Brain vascular image enhancement based on gradient adjust with split bregman 会议论文
SPIE Proceedings, San Francisco, California, United States, 2016-2-13
作者:  Liang Xiao(梁潇);  Dong Di;  Hui Hui;  Zhang Liwen;  Fang Mengjie;  Tian Jie
Adobe PDF(214Kb)  |  收藏  |  浏览/下载：328/105  |  提交时间：2016/07/01
Brain Vascular Image Enhancement  Light Sheet Microscopy  Split Bregman Algorithm  Gradient Image Adjust  L1-regularization  
Signal enhancement in Optical Projection Tomography via virtual High Dynamic Range imaging of single exposure 会议论文
SPIE Medical Imaging, Orlando, Florida, United States, February 21-26, 2015
作者:  Yujie Yang;  Di Dong;  Liangliang Shi;  Jun Wang;  Xin Yang;  Jie Tian
浏览  |  Adobe PDF(835Kb)  |  收藏  |  浏览/下载：352/92  |  提交时间：2016/04/15
A new Pansharp based method for PET/CT image fusion 会议论文
International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014
作者:  Mu, Wei;  Chen, Zhe;  Tian, Jie;  Zhu, Zhaohui;  Dong, Di;  Jie Tian
浏览  |  Adobe PDF(764Kb)  |  收藏  |  浏览/下载：315/104  |  提交时间：2015/08/19
Pet/ct  Image Fusion  Parsharp Model  
Exploring the evolution of post-acupuncture resting-state networks combining ICA and multivariate Granger causality 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Italy, 2011
作者:  Zhong, Chongguang;  Bai, Lijun;  Dai, Ruwei;  Xue, Ting;  Feng, Yuanyuan;  Wang, Hu;  Liu, Zhenyu;  You, Youbo;  Tian, Jie
Adobe PDF(862Kb)  |  收藏  |  浏览/下载：287/89  |  提交时间：2015/08/19
Multivariate Granger  Ica  Post-acupuncture Resting-state