中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共68条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Clinically Translatable Solid-State Dye for NIR-II Imaging of Medical Devices 期刊论文
ADVANCED SCIENCE, 2023, 页码: 13
作者:  Li, Deling;  Shi, Hui;  Qi, Qingrong;  Chang, Baisong;  Jiang, Yuanwen;  Qian, Kun;  Guan, Xiudong;  Kang, Peng;  Ma, Ning;  Zhang, Yuan;  Zhang, Zeyu;  Shi, Xiaojing;  Qu, Chunrong;  Wu, Yilei;  Chen, Weiyu;  Chen, Hao;  Li, Baowang;  Chen, Liangpeng;  Li, Ziyang;  Ma, Shunchang;  Xu, Lingyun;  Zhang, Yanrong;  Tian, Jie;  Hu, Zhenhua;  Jia, Wang;  Cheng, Zhen
收藏  |  浏览/下载：148/0  |  提交时间：2023/12/21
aggregates  in vivo imaging  medical devices  NIR-II fluorescence  
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：21/6  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 69, 页码: 2404-2413
作者:  Caiguang Cao;  Zeping Jin;  Xiaojing Shi;  Zhe Zhang;  Anqi Xiao;  Junying Yang;  Nan Ji;  Jie Tian;  Zhenhua Hu
Adobe PDF(4444Kb)  |  收藏  |  浏览/下载：140/50  |  提交时间：2023/06/14
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：262/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
基于病理图像的细胞生物标志物表达预测算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
作者:  边畅
Adobe PDF(22377Kb)  |  收藏  |  浏览/下载：240/4  |  提交时间：2021/06/21
深度学习，半监督学习，细胞生物标志物，苏木精-伊红染色，多光谱免疫荧光染色，数字病理技术  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：245/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
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  
Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载：303/62  |  提交时间：2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
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：258/0  |  提交时间：2020/07/20
Stroke  Infarction  Radiomics  Tomography  X-ray computed  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：435/125  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology