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Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文
Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7
作者:  He,Bingxi;  Sun,Caixia;  Li,Hailin;  Wang,Yongbo;  She,Yunlang;  Zhao,Mengmeng;  Fang,Mengjie;  Zhu,Yongbei;  Wang,Kun;  Liu,Zhenyu;  Wei,Ziqi;  Mu,Wei;  Wang,Shuo;  Tang,Zhenchao;  Wei,Jingwei;  Shao,Lizhi;  Tong,Lixia;  Huang,Feng;  Tang,Mingze;  Guo,Yu;  Zhang,Huimao;  Dong,Di;  Chen,Chang;  Ma,Jianhua;  Tian,Jie
收藏  |  浏览/下载：32/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
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
浏览  |  Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：219/84  |  提交时间：2020/10/25
nasopharyngeal carcinoma  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载：378/62  |  提交时间：2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 4670-4677
作者:  Liu, Yaou;  Dong, Di;  Zhang, Liwen;  Zang, Yali;  Duan, Yunyun;  Qiu, Xiaolu;  Huang, Jing;  Dong, Huiqing;  Barkhof, Frederik;  Hu, Chaoen;  Fang, Mengjie;  Tian, Jie;  Li, Kuncheng
Adobe PDF(1098Kb)  |  收藏  |  浏览/下载：481/128  |  提交时间：2019/12/16
Multiple sclerosis  Neuromyelitis optica spectrum disorder  Radiomics  Nomogram  Magnetic resonance imaging  
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959) 期刊论文
BMC Medicine, 2019, 卷号: 17, 期号: 1, 页码: 190
作者:  Dong,Di;  Zhang,Fan;  Zhong,Lian-Zhen;  Fang,Meng-Jie;  Huang,Cheng-Long;  Yao,Ji-Jin;  Sun,Ying;  Tian,Jie;  Ma,Jun;  Tang,Ling-Long
浏览  |  Adobe PDF(3418Kb)  |  收藏  |  浏览/下载：384/57  |  提交时间：2019/12/16
Individualized imaging biomarker  Induction chemotherapy  Survival benefit  Treatment decision  Locoregionally advanced nasopharyngeal cancer  
Quantitative radiomic biomarkers for discrimination between neuromyelitis optica spectrum disorder and multiple sclerosis 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 卷号: 49, 期号: 4, 页码: 1113-1121
作者:  Ma, Xiaoxiao;  Zhang, Liwen;  Huang, Dehui;  Lyu, Jinhao;  Fang, Mengjie;  Hu, Jianxing;  Zang, Yali;  Zhang, Dekang;  Shao, Hang;  Ma, Lin;  Tian, Jie;  Dong, Di;  Lou, Xin
Adobe PDF(673Kb)  |  收藏  |  浏览/下载：438/80  |  提交时间：2019/07/12
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：437/99  |  提交时间：2018/10/10
EGFR-TKI therapy  
CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2017, 卷号: 91, 期号: 2017, 页码: 142-147
作者:  Ma, Zelan;  Fang, Mengjie;  Huang, Yanqi;  He, Lan;  Chen, Xin;  Liang, Cuishan;  Huang, Xiaomei;  Cheng, Zixuan;  Dong, Di;  Liang, Changhong;  Xie, Jiajun;  Tian, Jie;  Liu, Zaiyi
Adobe PDF(515Kb)  |  收藏  |  浏览/下载：630/242  |  提交时间：2017/09/12
Borrmann Type Iv Gastric Cancer  Primary Gastric Lymphoma  Computed Tomography  Radiomics Signature  SubjeCtive Ct Findings