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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  
Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 3, 页码: 11
作者:  Zhang, Shuai-Tong;  Wang, Si-Yun;  Zhang, Jie;  Dong, Di;  Mu, Wei;  Xia, Xue-er;  Fu, Fang-Fang;  Lu, Ya-Nan;  Wang, Shuo;  Tang, Zhen-Chao;  Li, Peng;  Qu, Jin-Rong;  Wang, Mei-Yun;  Tian, Jie;  Liu, Jian-Hua
收藏  |  浏览/下载：169/0  |  提交时间：2023/11/16
Esophageal squamous cell carcinoma  PET/CT  Lymph node metastasis  Artificial intelligence  
Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging 期刊论文
THORACIC CANCER, 2022, 页码: 11
作者:  Qiu, Zhixin;  Wu, Qingxia;  Wang, Shuo;  Chen, Zhixia;  Lin, Feng;  Zhou, Yuyan;  Jin, Jing;  Xian, Jinghong;  Tian, Jie;  Li, Weimin
收藏  |  浏览/下载：288/0  |  提交时间：2022/02/16
deep learning  ground-glass nodules  multiple timepoints  sequential  
Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：314/59  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  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
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:  Wu, Qingxia;  Wang, Shuo;  Chen, Xi;  Wang, Yan;  Dong, Li;  Liu, Zhenyu;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：432/0  |  提交时间：2019/12/16
Radiomics  Cervical cancer  Lymph nodes  Magnetic resonance imaging  
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 deep learning radiomics model for preoperative grading in meningioma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 116, 页码: 128-134
作者:  Zhu, Yongbei;  Man, Chuntao;  Gong, Lixin;  Dong, Di;  Yu, Xinyi;  Wang, Shuo;  Fang, Mengjie;  Wang, Siwen;  Fang, Xiangming;  Chen, Xuzhu;  Tian, Jie
Adobe PDF(1336Kb)  |  收藏  |  浏览/下载：428/35  |  提交时间：2019/07/11
Radiomics  Deep learning  Meningioma  Tumor grading  Magnetic resonance imaging  
基于深度学习的小样本肿瘤CT影像分析算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
作者:  王硕
Adobe PDF(6465Kb)  |  收藏  |  浏览/下载：556/2  |  提交时间：2019/07/08
计算机断层扫描（ct）  深度学习  肿瘤分割  半监督学习  预后分析  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：448/107  |  提交时间：2019/04/30