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Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：63/39  |  提交时间：2023/11/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li, Xiao Hui, Wenjing Li, Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：104/39  |  提交时间：2023/11/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：75/31  |  提交时间：2023/08/02
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：478/355  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：501/154  |  提交时间：2019/04/30
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：845/509  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Preoperative radiomics nomogramfor microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
European Raidology, 2018, 期号: 1, 页码: 11
作者:  Ma Xiaohong;  Wei Jingwei;  Gu Dongsheng;  Zhu Yongjian;  Feng Bing;  Liang Meng;  Wang Shuang;  Zhao Xinming;  Tian Jie
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：309/98  |  提交时间：2019/05/08
Hepatocellular Carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional Tomography  
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：417/111  |  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  
A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication 期刊论文
European Radiology, 2018, 期号: 29, 页码: 877-888
作者:  Wei Jingwei;  Yang Guoqiang;  Hao Xiaohan;  Gu Dongsheng;  Tan Yan;  Wang Xiaochun;  Dong Di;  Zhang Shuaitong;  Wang Le;  Zhang Hui;  Tian Jie
浏览  |  Adobe PDF(3785Kb)  |  收藏  |  浏览/下载：298/97  |  提交时间：2019/05/08
Astrocytoma  Methylation  Prognosis  Diagnostic Imaging  Roc Curve