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MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma
Author / Creator:Hou, Jing ; Li, Handong ; Zeng, Biao ; Pang, Peipei ; Ai, Zhaodong ; Li, Feiping ; Lu, Qiang ; Yu, Xiaoping
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2022-02, Vol.32 (2), p.1106-1114
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Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer
Author / Creator:Shu, Zhenyu ; Mao, Dewang ; Song, Qiaowei ; Xu, Yuyun ; Pang, Peipei ; Zhang, Yang
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2022-02, Vol.32 (2), p.1002-1013
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The value of various peritumoral radiomic features in differentiating the invasiveness of adenocarcinoma manifesting as ground-glass nodules
Author / Creator:Wu, Linyu ; Gao, Chen ; Ye, Jianfeng ; Tao, Jingying ; Wang, Neng ; Pang, Peipei ; Xiang, Ping ; Xu, Maosheng
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-12, Vol.31 (12), p.9030-9037
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A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography
Author / Creator:Li, Shiyun ; Liu, Jiaqi ; Xiong, Yuanhuan ; Pang, Peipei ; Lei, Pinggui ; Zou, Huachun ; Zhang, Mei ; Fan, Bing ; Luo, Puying
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-04, Vol.11 (1), p.8730-8730, Article 8730
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A convention-radiomics CT nomogram for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma
Author / Creator:Ma, Yanqing ; Ma, Weijun ; Xu, Xiren ; Guan, Zheng ; Pang, Peipei
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-02, Vol.11 (1), p.4644-4644, Article 4644
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Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factors
Author / Creator:Shu Zhenyu ; Xu Yuyun ; Shao Yuan ; Pang Peipei ; Gong Xiangyang
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2020-06, Vol.30 (6), p.3046-3058
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Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer
Author / Creator:Pei, Qian ; Yi, Xiaoping ; Chen, Chen ; Pang, Peipei ; Fu, Yan ; Lei, Guangwu ; Chen, Changyong ; Tan, Fengbo ; Gong, Guanghui ; Li, Qingling ; Zai, Hongyan ; Chen, Bihong T.
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2022-01, Vol.32 (1), p.714-724
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Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer
Author / Creator:Chen, Jiayou ; Chen, Ying ; Zheng, Dechun ; Pang, Peipei ; Zhang, Hejun ; Zheng, Xiang ; Liao, Jiang
Publisher:New York: Springer US
Journal title:Abdominal imaging, 2021-03, Vol.46 (3), p.847-857
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MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases
Author / Creator:Shu, Zhenyu ; Fang, Songhua ; Ding, Zhongxiang ; Mao, Dewang ; Cai, Rui ; Chen, Yuanjun ; Pang, Peipei ; Gong, Xiangyang
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-03, Vol.9 (1), p.3374-3374, Article 3374
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Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors
Author / Creator:Chu, Hairui ; Pang, Peipei ; He, Jian ; Zhang, Desheng ; Zhang, Mei ; Qiu, Yingying ; Li, Xiaofen ; Lei, Pinggui ; Fan, Bing ; Xu, Rongchun
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-06, Vol.11 (1), p.12009-12009, Article 12009
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Non-contrast CT-based radiomic signature for screening thoracic aortic dissections: a multicenter study
Author / Creator:Guo, Yifan ; Chen, Xiaojun ; Lin, Xianda ; Chen, Litian ; Shu, Jiner ; Pang, Peipei ; Cheng, Jianmin ; Xu, Maosheng ; Sun, Zhichao
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-09, Vol.31 (9), p.7067-7076
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Can texture analysis based on single unenhanced CT accurately predict the WHO/ISUP grading of localized clear cell renal cell carcinoma?
Author / Creator:Wang, Xu ; Song, Ge ; Jiang, Haitao ; Zheng, Linfeng ; Pang, Peipei ; Xu, Jingjing
Publisher:New York: Springer US
Journal title:Abdominal imaging, 2021-09, Vol.46 (9), p.4289-4300
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Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study
Author / Creator:Chen, Xiaofeng ; Yang, Zhiqi ; Yang, Jiada ; Liao, Yuting ; Pang, Peipei ; Fan, Weixiong ; Chen, Xiangguang
Publisher:England: BioMed Central Ltd
Journal title:Cancer imaging, 2020-04, Vol.20 (1), p.24-24, Article 24
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Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?
Author / Creator:Liu, Lulu ; Lu, Fangxiao ; Pang, Peipei ; Shao, Guoliang
Publisher:London: BioMed Central Ltd
Journal title:Biomedical engineering online, 2020-11, Vol.19 (1), p.1-89, Article 89
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MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm
Author / Creator:Kuang, Yani ; Li, Renzhan ; Jia, Peng ; Ye, Wenhai ; Zhou, Rongzhen ; Zhu, Rui ; Wang, Jian ; Lin, Shuangxiang ; Pang, Peipei ; Ji, Wenbin
Publisher:New York: Springer US
Journal title:Abdominal imaging, 2021-08, Vol.46 (8), p.3772-3789
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A Nomogram Model of Radiomics and Satellite Sign Number as Imaging Predictor for Intracranial Hematoma Expansion
Author / Creator:Xu, Wen ; Ding, Zhongxiang ; Shan, Yanna ; Chen, Wenhui ; Feng, Zhan ; Pang, Peipei ; Shen, Qijun
Publisher:Switzerland: Frontiers Research Foundation
Journal title:Frontiers in neuroscience, 2020-06, Vol.14, p.491-491
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Comprehensive classification models based on amygdala radiomic features for Alzheimer’s disease and mild cognitive impairment
Author / Creator:Feng, Qi ; Niu, Jialing ; Wang, Luoyu ; Pang, Peipei ; Wang, Mei ; Liao, Zhengluan ; Song, Qiaowei ; Jiang, Hongyang ; Ding, Zhongxiang
Publisher:New York: Springer US
Journal title:Brain imaging and behavior, 2021-10, Vol.15 (5), p.2377-2386
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Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging
Author / Creator:Shen, Qijun ; Shan, Yanna ; Xu, Wen ; Hu, Guangzhu ; Chen, Wenhui ; Feng, Zhan ; Pang, Peipei ; Ding, Zhongxiang ; Cai, Wenli
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-01, Vol.31 (1), p.423-435
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Radiomic prediction models for the level of Ki-67 and p53 in glioma
Author / Creator:Sun, Xiaojun ; Pang, Peipei ; Lou, Lin ; Feng, Qi ; Ding, Zhongxiang ; Zhou, Jian
Publisher:London, England: SAGE Publications
Journal title:Journal of international medical research, 2020-05, Vol.48 (5), p.300060520914466
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A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer
Author / Creator:Hu, Yumin ; Weng, Qiaoyou ; Xia, Haihong ; Chen, Tao ; Kong, Chunli ; Chen, Weiyue ; Pang, Peipei ; Xu, Min ; Lu, Chenying ; Ji, Jiansong
Publisher:New York: Springer US
Journal title:Abdominal imaging, 2021-06, Vol.46 (6), p.2384-2392
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Showing 1 to 20 of 41 results

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MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma

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Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer

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The value of various peritumoral radiomic features in differentiating the invasiveness of adenocarcinoma manifesting as ground-glass nodules

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A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography

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A convention-radiomics CT nomogram for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma

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Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factors

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Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer

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Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer

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MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases

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Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors

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Non-contrast CT-based radiomic signature for screening thoracic aortic dissections: a multicenter study

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Can texture analysis based on single unenhanced CT accurately predict the WHO/ISUP grading of localized clear cell renal cell carcinoma?

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Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study

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Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?

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MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm

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A Nomogram Model of Radiomics and Satellite Sign Number as Imaging Predictor for Intracranial Hematoma Expansion

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Comprehensive classification models based on amygdala radiomic features for Alzheimer’s disease and mild cognitive impairment

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Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging

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Radiomic prediction models for the level of Ki-67 and p53 in glioma

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A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer

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