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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：202/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：286/36  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：202/32  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载：323/55  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
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：359/57  |  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  
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：232/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
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：420/124  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
基于光源邻域信息的激发荧光断层重建算法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2020
作者:  孟慧
Adobe PDF(5883Kb)  |  收藏  |  浏览/下载：261/3  |  提交时间：2020/05/28
光学分子影像  激发荧光断层成像  非局部全变分正则先验  自适应高 斯权重拉普拉斯正则先验  k 近邻局部连接网络  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：293/70  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
作者:  Zhong, Lianzhen;  Fang, Xueliang;  Dong, Di;  Peng, Hao;  Fang, Mengjie;  Huang, Chenglong;  He, Bingxi;  Lin, Li;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：174/70  |  提交时间：2020/10/25
nasopharyngeal carcinoma