Search Results - "Duan, Shaofeng"

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  1. 1

    Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction by Sun, Yingli, Li, Cheng, Jin, Liang, Gao, Pan, Zhao, Wei, Ma, Weiling, Tan, Mingyu, Wu, Weilan, Duan, Shaofeng, Shan, Yuqing, Li, Ming

    Published in European radiology (01-07-2020)
    “…Objectives To investigate the value of radiomics based on CT imaging in predicting invasive adenocarcinoma manifesting as pure ground-glass nodules (pGGNs)…”
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    Journal Article
  2. 2

    Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma by Ren, Jiliang, Qi, Meng, Yuan, Ying, Duan, Shaofeng, Tao, Xiaofeng

    Published in American journal of roentgenology (1976) (01-11-2020)
    “…This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral…”
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  3. 3

    MRI-based radiomics signature and clinical factor for predicting H3K27M mutation in pediatric high-grade gliomas located in the midline of the brain by Wu, Chenqing, Zheng, Hui, Li, Jinning, Zhang, Yuzhen, Duan, Shaofeng, Li, Yuhua, Wang, Dengbin

    Published in European radiology (01-03-2022)
    “…Objective To develop a nomogram based on MRI radiomics and clinical features for preoperatively predicting H3K27M mutation in pediatric high-grade gliomas…”
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  4. 4

    Light-induced dimension crossover dictated by excitonic correlations by Cheng, Yun, Zong, Alfred, Li, Jun, Xia, Wei, Duan, Shaofeng, Zhao, Wenxuan, Li, Yidian, Qi, Fengfeng, Wu, Jun, Zhao, Lingrong, Zhu, Pengfei, Zou, Xiao, Jiang, Tao, Guo, Yanfeng, Yang, Lexian, Qian, Dong, Zhang, Wentao, Kogar, Anshul, Zuerch, Michael W., Xiang, Dao, Zhang, Jie

    Published in Nature communications (18-02-2022)
    “…In low-dimensional systems with strong electronic correlations, the application of an ultrashort laser pulse often yields novel phases that are otherwise…”
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  5. 5

    Optical manipulation of electronic dimensionality in a quantum material by Duan, Shaofeng, Cheng, Yun, Xia, Wei, Yang, Yuanyuan, Xu, Chengyang, Qi, Fengfeng, Huang, Chaozhi, Tang, Tianwei, Guo, Yanfeng, Luo, Weidong, Qian, Dong, Xiang, Dao, Zhang, Jie, Zhang, Wentao

    Published in Nature (London) (08-07-2021)
    “…Exotic phenomena can be achieved in quantum materials by confining electronic states into two dimensions. For example, relativistic fermions are realized in a…”
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  6. 6

    Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification by Wu, Haoting, Wu, Chenqing, Zheng, Hui, Wang, Lei, Guan, Wenbin, Duan, Shaofeng, Wang, Dengbin

    Published in European radiology (01-05-2021)
    “…Objectives To construct a CT-based radiomics signature and assess its performance in predicting MYCN amplification (MNA) in pediatric patients with…”
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  7. 7

    Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’s cervix by Mi, Honglan, Yuan, Mingyuan, Suo, Shiteng, Cheng, Jiejun, Li, Suqin, Duan, Shaofeng, Lu, Qing

    Published in Scientific reports (23-11-2020)
    “…MR Radiomics based on cervical lesions from one single scanner has achieved promising results. However, it is a challenge to achieve clinical translation…”
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  8. 8

    Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study by Wang, Hexiang, Zhang, Jian, Bao, Shan, Liu, Jingwei, Hou, Feng, Huang, Yonghua, Chen, Haisong, Duan, Shaofeng, Hao, Dapeng, Liu, Jihua

    Published in Journal of magnetic resonance imaging (01-09-2020)
    “…Background Preoperative differentiation between malignant and benign soft‐tissue masses is important for treatment decisions. Purpose/Hypothesis To…”
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  9. 9

    Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions by Wang, Simin, Sun, Yuqi, Li, Ruimin, Mao, Ning, Li, Qin, Jiang, Tingting, Chen, Qianqian, Duan, Shaofeng, Xie, Haizhu, Gu, Yajia

    Published in European radiology (2022)
    “…Objective To conduct perilesional region radiomics analysis of contrast-enhanced mammography (CEM) images to differentiate benign and malignant breast lesions…”
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  10. 10

    Feasibility Study of Computed Tomographic Radiomics Model for the Prediction of Early and Intermediate Stage Hepatocellular Carcinoma Using BCLC Staging by Dong, Han, Yang, Lu, Shaofeng, Duan, Lili, Guo

    Published in Technology in cancer research & treatment (01-01-2024)
    “…Hepatocellular carcinoma (HCC) is a serious health concern because of its high morbidity and mortality. The prognosis of HCC largely depends on the disease…”
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  11. 11

    Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study by Mao, Ning, Yin, Ping, Li, Qin, Wang, Qinglin, Liu, Meijie, Ma, Heng, Dong, Jianjun, Che, Kaili, Wang, Zhongyi, Duan, Shaofeng, Zhang, Xuexi, Hong, Nan, Xie, Haizhu

    Published in European radiology (01-12-2020)
    “…Objective This study aims to establish and validate a radiomics nomogram based on contrast-enhanced spectral mammography (CESM) for prediction of axillary…”
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  12. 12

    A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma by Chang, Cheng, Zhou, Shihong, Yu, Hong, Zhao, Wenlu, Ge, Yaqiong, Duan, Shaofeng, Wang, Rui, Qian, Xiaohua, Lei, Bei, Wang, Lihua, Liu, Liu, Ruan, Maomei, Yan, Hui, Sun, Xiaoyan, Xie, Wenhui

    Published in European radiology (01-08-2021)
    “…Objectives This study aims to develop a clinically practical model to predict EGFR mutation in lung adenocarcinoma patients according to radiomics signatures…”
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  13. 13

    Facile preparation of nano-g-C3N4/UiO-66-NH2 composite as sorbent for high-efficient extraction and preconcentration of food colorants prior to HPLC analysis by Zhang, Xiaowan, Yang, Yixin, Qin, Peige, Han, Lizhen, Zhu, Wenli, Duan, Shaofeng, Lu, Minghua, Cai, Zongwei

    Published in Chinese chemical letters (01-02-2022)
    “…In this work, the nano-g-C3N4/UiO-66-NH2 composite was prepared by one-step solvothermal method. The as-prepared composite was characterized by scanning…”
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  14. 14

    Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer by Bian, Tiantian, Wu, Zengjie, Lin, Qing, Wang, Haibo, Ge, Yaqiong, Duan, Shaofeng, Fu, Guangming, Cui, Chunxiao, Su, Xiaohui

    Published in British journal of radiology (01-11-2020)
    “…To investigate the ability of radiomic signatures based on MRI to evaluate the response and efficiency of neoadjuvant chemotherapy (NAC) for treating breast…”
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  15. 15

    Development and external validation of a stability machine learning model to identify wake-up stroke onset time from MRI by Jiang, Liang, Wang, Siyu, Ai, Zhongping, Shen, Tingwen, Zhang, Hong, Duan, Shaofeng, Chen, Yu-Chen, Yin, Xindao, Sun, Jun

    Published in European radiology (01-06-2022)
    “…Objectives To develop and externally validate a machine learning (ML) model based on diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery…”
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  16. 16

    Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma by Ren, Shuai, Zhao, Rui, Zhang, Jingjing, Guo, Kai, Gu, Xiaoyu, Duan, Shaofeng, Wang, Zhongqiu, Chen, Rong

    Published in Abdominal radiology (New York) (01-05-2020)
    “…Purpose To investigate the value of texture analysis on unenhanced computed tomography (CT) to potentially differentiate mass-forming pancreatitis (MFP) from…”
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  17. 17

    R2R3-MYB Gene Family in Coptis teeta Wall.: Genome-Wide Identification, Phylogeny, Evolutionary Expansion, and Expression Analyses during Floral Development by Yu, Jichen, Duan, Shaofeng, Shua, Zhenyang, Li, Kecheng, Xiang, Guisheng, Baldwin, Timothy Charles, Lu, Yingchun, Liang, Yanli

    “…The gene family represents a widely distributed class of plant transcription factors. This gene family plays an important role in many aspects of plant growth…”
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  18. 18

    CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS by Liu, Huanhuan, Ren, Hua, Wu, Zengbin, Xu, He, Zhang, Shuhai, Li, Jinning, Hou, Liang, Chi, Runmin, Zheng, Hui, Chen, Yanhong, Duan, Shaofeng, Li, Huimin, Xie, Zongyu, Wang, Dengbin

    Published in Journal of translational medicine (07-01-2021)
    “…Limited data was available for rapid and accurate detection of COVID-19 using CT-based machine learning model. This study aimed to investigate the value of…”
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  19. 19

    Prediction of Response to Induction Chemotherapy Plus Concurrent Chemoradiotherapy for Nasopharyngeal Carcinoma Based on MRI Radiomics and Delta Radiomics: A Two-Center Retrospective Study by Xi, Yuzhen, Ge, Xiuhong, Ji, Haiming, Wang, Luoyu, Duan, Shaofeng, Chen, Haonan, Wang, Mengze, Hu, Hongjie, Jiang, Feng, Ding, Zhongxiang

    Published in Frontiers in oncology (22-04-2022)
    “…We aimed to establish an MRI radiomics model and a Delta radiomics model to predict tumor retraction after induction chemotherapy (IC) combined with concurrent…”
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  20. 20

    Multi-Phase CT-Based Radiomics Nomogram for Discrimination Between Pancreatic Serous Cystic Neoplasm From Mucinous Cystic Neoplasm by Gao, Jiahao, Han, Fang, Wang, Xiaoshuang, Duan, Shaofeng, Zhang, Jiawen

    Published in Frontiers in oncology (01-12-2021)
    “…This study aimed to develop and verify a multi-phase (MP) computed tomography (CT)-based radiomics nomogram to differentiate pancreatic serous cystic neoplasms…”
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