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Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：268/48  |  提交时间：2023/03/20
The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer 期刊论文
CANCER MEDICINE, 2022, 页码: 13
作者:  Chen, Chi;  Cao, Yuye;  Li, Weili;  Liu, Zhenyu;  Liu, Ping;  Tian, Xin;  Sun, Caixia;  Wang, Wuliang;  Gao, Han;  Kang, Shan;  Wang, Shaoguang;  Jiang, Jingying;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：220/0  |  提交时间：2022/07/25
cervical cancer  deep learning  disease-free survival  overall survival  whole slide image  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：284/42  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
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：250/45  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：336/68  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study 期刊论文
GASTROINTESTINAL ENDOSCOPY, 2021, 卷号: 93, 期号: 6, 页码: 1333-+
作者:  Hu, Hao;  Gong, Lixin;  Dong, Di;  Zhu, Liang;  Wang, Min;  He, Jie;  Shu, Lei;  Cai, Yiling;  Cai, Shilun;  Su, Wei;  Zhong, Yunshi;  Li, Cong;  Zhu, Yongbei;  Fang, Mengjie;  Zhong, Lianzhen;  Yang, Xin;  Zhou, Pinghong;  Tian, Jie
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载：258/51  |  提交时间：2021/08/15
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：238/4  |  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  
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：247/23  |  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)  
A Computational Prediction Method Based on Modified U-Net for Cell Distribution in Tumor Microenvironment 会议论文
, 线上会议, 2021-2-15
作者:  Bian, Chang;  Wang, Yu;  An, Yu;  Wang, Hanfan;  Du, Yang;  Tian, Jie
Adobe PDF(28768Kb)  |  收藏  |  浏览/下载：179/38  |  提交时间：2021/05/28
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：175/34  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence