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Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review 期刊论文
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2024, 卷号: 17, 页码: 118-135
作者:  Wang, Zipei;  Fang, Mengjie;  Zhang, Jie;  Tang, Linquan;  Zhong, Lianzhen;  Li, Hailin;  Cao, Runnan;  Zhao, Xun;  Liu, Shengyuan;  Zhang, Ruofan;  Xie, Xuebin;  Mai, Haiqiang;  Qiu, Sufang;  Tian, Jie;  Dong, Di
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/03
Artificial intelligence  Medical diagnostic imaging  Image segmentation  medical imaging  nasopharyngeal carcinoma  precision diagnosis and treatment  
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
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载：187/10  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
光学投影断层成像的检测方法 专利
专利类型: 发明专利, 专利号: 201510219236.9, 申请日期: 2018-02-02,
发明人:  田捷;  方梦捷;  董迪;  惠辉;  杨鑫;  徐敏
Adobe PDF(647Kb)  |  收藏  |  浏览/下载：164/41  |  提交时间：2022/06/13
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：410/75  |  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：340/65  |  提交时间：2021/08/15
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, D.;  Fang, M. -J.;  Tang, L.;  Shan, X. -H.;  Gao, J. -B.;  Giganti, F.;  Wang, R. -P.;  Chen, X.;  Wang, X. -X.;  Palumbo, D.;  Fu, J.;  Li, W. -C.;  Li, J.;  Zhong, L. -Z.;  De Cobelli, F.;  Ji, J. -F.;  Liu, Z. -Y.;  Tian, J.
收藏  |  浏览/下载：276/0  |  提交时间：2020/07/20
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
作者:  Fang, Mengjie;  He, Bingxi;  Li, Li;  Dong, Di;  Yang, Xin;  Li, Cong;  Meng, Lingwei;  Zhong, Lianzhen;  Li, Hailin;  Li, Hongjun;  Tian, Jie
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：449/66  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 114, 页码: 38-44
作者:  Xu, Min;  Fang, Mengjie;  Zou, Jian;  Yang, Shudong;  Yu, Dongdong;  Zhong, Lianzhen;  Hu, Chaoen;  Zang, Yali;  Di, Dong;  Tian, Jie;  Fang, Xiangming
Adobe PDF(1146Kb)  |  收藏  |  浏览/下载：333/78  |  提交时间：2019/07/12
Prostate cancer  Radiomics  Biparametric magnetic resonance imaging  Medical imaging  
Stripe artifact elimination based on nonsubsampled contourlet transform for light sheet fluorescence microscopy 期刊论文
JOURNAL OF BIOMEDICAL OPTICS, 2016, 卷号: 21, 期号: 10, 页码: 1-9
作者:  Liang, Xiao;  Zang, Yali;  Dong, Di;  Zhang, Liwen;  Fang, Mengjie;  Yang, Xin;  Arranz, Alicia;  Ripoll, Jorge;  Hui, Hui;  Tian, Jie
浏览  |  Adobe PDF(8403Kb)  |  收藏  |  浏览/下载：439/128  |  提交时间：2017/02/14
Light Sheet Fluorescence Microscopy  Nonsubsampled Contourlet Transform  Stripe Artifact  
Brain vascular image enhancement based on gradient adjust with split bregman 会议论文
SPIE Proceedings, San Francisco, California, United States, 2016-2-13
作者:  Liang Xiao(梁潇);  Dong Di;  Hui Hui;  Zhang Liwen;  Fang Mengjie;  Tian Jie
浏览  |  Adobe PDF(214Kb)  |  收藏  |  浏览/下载：358/118  |  提交时间：2016/07/01
Brain Vascular Image Enhancement  Light Sheet Microscopy  Split Bregman Algorithm  Gradient Image Adjust  L1-regularization