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Sensitive and quantitative in vivo analysis of PD‑L1 using magnetic particle imaging and imaging‑guided immunotherapy 期刊论文
European Journal of Nuclear Medicine and Molecular Imaging, 2022, 卷号: 50, 页码: 1291-1305
作者:  Zhengyao Peng;  Chang Lu;  Guangyuan Shi;  Lin Yin;  Xiaolong Liang;  Guosheng Song;  Jie Tian;  Yang Du
Adobe PDF(4924Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/05/28
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
收藏  |  浏览/下载：125/0  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：141/0  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
Enhanced glypican-3-targeted identification of hepatocellular carcinoma with liver fibrosis by pre-degrading excess fibrotic collagen 期刊论文
Acta Biomaterialia, 2023, 卷号: 158, 页码: 435- 448
作者:  Zhuo, Jiaming;  Wang, Yueqi;  Hui, Hui;  Li, Changjian;  Yang, Junying;  Zhang, Peng;  Fang, Chihua;  Tian, Jie
Adobe PDF(4667Kb)  |  收藏  |  浏览/下载：151/74  |  提交时间：2023/05/04
A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载：277/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
作者:  She, Yunlang;  He, Bingxi;  Wang, Fang;  Zhong, Yifan;  Wang, Tingting;  Liu, Zhenchuan;  Yang, Minglei;  Yu, Bentong;  Deng, Jiajun;  Sun, Xiwen;  Wu, Chunyan;  Hou, Likun;  Zhu, Yuming;  Yang, Yang;  Hu, Hongjie;  Dong, Di;  Chen, Chang;  Tian, Jie
收藏  |  浏览/下载：202/0  |  提交时间：2023/02/22
Deep learning  Neoadjuvant chemoimmunotherapy  Major pathological response  Non-small cell lung cancer  
Artificial intelligence in gastric cancer: applications and challenges 期刊论文
GASTROENTEROLOGY REPORT, 2022, 卷号: 10, 页码: 16
作者:  Cao, Runnan;  Tang, Lei;  Fang, Mengjie;  Zhong, Lianzhen;  Wang, Siwen;  Gong, Lixin;  Li, Jiazheng;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：203/0  |  提交时间：2023/01/09
gastric cancer  artificial intelligence  radiomics  endoscopy  computed tomography  pathology  
PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging 期刊论文
MEDICAL PHYSICS, 2022, 页码: 18
作者:  Wu, Xiangjun;  He, Bingxi;  Gao, Pengli;  Zhang, Peng;  Shang, Yaxin;  Zhang, Liwen;  Zhong, Jing;  Jiang, Jingying;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：212/0  |  提交时间：2022/11/21
deep learning  field-free line  magnetic particle imaging  sparse view  
New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载：368/86  |  提交时间：2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：298/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network