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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：432/66  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：361/65  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：353/61  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：326/127  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
A Trajectory-based Attention Model for Sequential Impurity Detection 期刊论文
Neurocomputing, 2020, 卷号: 410, 期号: 410, 页码: 271-283
作者:  Wenhao He;  Haitao Song;  Yue Guo;  Xiaonan Wang;  Guibin Bian;  Kui Yuan
浏览  |  Adobe PDF(2153Kb)  |  收藏  |  浏览/下载：288/72  |  提交时间：2020/10/19
Impurity detection  Siamese fusion network  Trajectory-based attention model  Sequential region proposal classification  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：431/121  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
DM-SLAM: Monocular SLAM in Dynamic Environments 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 16
作者:  Lu, Xiaoyun;  Wang, Hu;  Tang, Shuming;  Huang, Huimin;  Li, Chuang
浏览  |  Adobe PDF(3615Kb)  |  收藏  |  浏览/下载：336/67  |  提交时间：2020/08/21
static features extraction  dynamic environments  3D reconstruction  monocular SLAM  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载：198/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：450/74  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：387/65  |  提交时间：2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine