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CASIA OpenIR
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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：33/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：494/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying;  Fang, Jin;  Qian, Wei;  Liu, Zhenyu;  Sun, Kai;  Jin, Yan;  Ma, He;  Tian, Jie
收藏  |  浏览/下载：311/0  |  提交时间：2020/09/07
Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 141, 页码: 239-246
作者:  Wei, Wei;  Wang, Ke;  Liu, Zhenyu;  Tian, Kaibing;  Wang, Liang;  Du, Jiang;  Ma, Junpeng;  Wang, Shuo;  Li, Longfei;  Zhao, Rui;  Cui, Luo;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载：413/0  |  提交时间：2020/03/30
Biomarkers  Magnetic resonance imaging  Prognosis  Progression-free survival  Radiomics  Skull base chordoma  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载：356/0  |  提交时间：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction  
Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 81-87
作者:  Li, Longfei;  Wang, Ke;  Ma, Xiujian;  Liu, Zhenyu;  Wang, Shuo;  Du, Jiang;  Tian, Kaibing;  Zhou, Xuezhi;  Wei, Wei;  Sun, Kai;  Lin, Yusong;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载：387/0  |  提交时间：2019/12/16
Radiomics  Chordoma  Chondrosarcoma  Multiparametric MRI  
A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 12
作者:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan;  Wei, Wei;  Wang, Shuo;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
收藏  |  浏览/下载：329/0  |  提交时间：2019/07/12
advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：453/136  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：1029/629  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：486/127  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning