Search Results - "Lang, Ning"

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  1. 1

    Role of differentiated embryo-chondrocyte expressed gene 1 (DEC1) in immunity by Yuan, Ning-Lang, Liu, Yang, Zhang, Di

    Published in International immunopharmacology (01-01-2022)
    “…Differentiated embryo-chondrocyte expressed gene 1 (DEC1) belongs to the family of basic helix-loop-helix (bHLH)-type transcription factors. DEC1 is expressed…”
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  2. 2

    A Multi-Resolution Approach for Spinal Metastasis Detection using Deep Siamese Neural Networks by Wang, Juan, Fang, Zhiyuan, Lang, Ning, Yuan, Huishu, Su, Min-Ying, Baldi, Pierre

    Published in Computers in biology and medicine (01-05-2017)
    “…Abstract Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility…”
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  3. 3

    Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI by Lang, Ning, Zhang, Yang, Zhang, Enlong, Zhang, Jiahui, Chow, Daniel, Chang, Peter, Yu, Hon J., Yuan, Huishu, Su, Min-Ying

    Published in Magnetic resonance imaging (01-12-2019)
    “…To differentiate metastatic lesions in the spine originated from primary lung cancer and other cancers using radiomics and deep learning, compared to…”
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  4. 4

    Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning by Li, Yuan, Zhang, Yang, Zhang, Enlong, Chen, Yongye, Wang, Qizheng, Liu, Ke, Yu, Hon J., Yuan, Huishu, Lang, Ning, Su, Min-Ying

    Published in European radiology (01-12-2021)
    “…Objectives To evaluate the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT. Methods A dataset…”
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  5. 5

    Prediction of pathological response and lymph node metastasis after neoadjuvant therapy in rectal cancer through tumor and mesorectal MRI radiomic features by Qin, Siyuan, Liu, Ke, Chen, Yongye, Zhou, Yan, Zhao, Weili, Yan, Ruixin, Xin, Peijin, Zhu, Yupeng, Wang, Hao, Lang, Ning

    Published in Scientific reports (20-09-2024)
    “…Establishing predictive models for the pathological response and lymph node metastasis in locally advanced rectal cancer (LARC) treated with neoadjuvant…”
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  6. 6

    Assessment of axial spondyloarthritis activity using a magnetic resonance imaging-based multi-region-of-interest fusion model by Xin, Peijin, Wang, Qizheng, Yan, Ruixin, Chen, Yongye, Zhu, Yupeng, Zhang, Enlong, Ren, Cui, Lang, Ning

    Published in Arthritis research & therapy (24-11-2023)
    “…Identifying axial spondyloarthritis (axSpA) activity early and accurately is essential for treating physicians to adjust treatment plans and guide clinical…”
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  7. 7

    Epidemiological survey of ossification of the ligamentum flavum in thoracic spine: CT imaging observation of 993 cases by Lang, Ning, Yuan, Hui Shu, Wang, Hong Lei, Liao, Jing, Li, Man, Guo, Fu Xin, Shi, Shan, Chen, Zhong Qiang

    Published in European spine journal (01-04-2013)
    “…Objective To investigate the characteristics of epidemiological distribution of the ossification of the ligamentum flavum (OLF) in the thoracic spine including…”
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  8. 8

    Precision Stereotactic Radiotherapy for Spinal Tumors: Mechanism, Efficacy, and Issues by Zhuang, Hongqing, Zhuang, Hongxia, Lang, Ning, Liu, Jiandong

    Published in Frontiers in oncology (22-05-2020)
    “…Stereotactic ablative radiotherapy (SABR/SBRT) is a revolutionary technique for tumor therapy. Its advantages are especially beneficial for the treatment…”
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  9. 9

    A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study by Yan, Ruixin, Qin, Siyuan, Xu, Jiajia, Zhao, Weili, Xin, Peijin, Xing, Xiaoying, Lang, Ning

    Published in Cancer imaging (31-07-2024)
    “…Accurate prognostic assessment is vital for the personalized treatment of endometrial cancer (EC). Although radiomics models have demonstrated prognostic…”
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  10. 10

    A preliminary study using spinal MRI-based radiomics to predict high-risk cytogenetic abnormalities in multiple myeloma by Liu, Jianfang, Wang, Chunjie, Guo, Wei, Zeng, Piaoe, Liu, Yan, Lang, Ning, Yuan, Huishu

    Published in Radiologia medica (01-09-2021)
    “…Objectives We aimed to investigate the feasibility of predicting high-risk cytogenetic abnormalities (HRCAs) in patients with multiple myeloma (MM) using a…”
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  11. 11

    Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study by Zhang, Enlong, Li, Yuan, Xing, Xiaoying, Qin, Siyuan, Yuan, Huishu, Lang, Ning

    Published in Frontiers in oncology (06-10-2022)
    “…Background To investigate the value of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) to discriminate spinal metastasis from tuberculous…”
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  12. 12

    Perioperative cerebral blood flow measured by arterial spin labeling with different postlabeling delay in patients undergoing carotid endarterectomy: a comparison study with CT perfusion by Xu, Huimin, Han, Hualu, Liu, Ying, Huo, Ran, Lang, Ning, Yuan, Huishu, Wang, Tao, Zhao, Xihai

    Published in Frontiers in neuroscience (14-09-2023)
    “…Background Arterial spin labeling (ASL) is a non-invasive technique for measuring cerebral perfusion. Its accuracy is affected by the arterial transit time…”
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  13. 13

    Case report: Castleman's disease involving the renal sinus resembling renal cell carcinoma by Zhang, Enlong, Li, Yuan, Lang, Ning

    Published in Frontiers in surgery (05-09-2022)
    “…Castleman's disease (CD) is a rare benign lymphoproliferative disease that frequently involves the mediastinal thorax and the neck lymph nodes. It rarely…”
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  14. 14

    Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography by Wang, Chunjie, Ni, Ming, Tian, Shuai, Ouyang, Hanqiang, Liu, Xiaoming, Fan, Lianxi, Dong, Pei, Jiang, Liang, Lang, Ning, Yuan, Huishu

    Published in BMC medical imaging (28-11-2023)
    “…To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT). Two VB-Net-based DL models for…”
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  15. 15

    A Multiparametric Method Based on Clinical and CT-Based Radiomics to Predict the Expression of p53 and VEGF in Patients With Spinal Giant Cell Tumor of Bone by Wang, Qizheng, Zhang, Yang, Zhang, Enlong, Xing, Xiaoying, Chen, Yongye, Nie, Ke, Yuan, Huishu, Su, Min-Ying, Lang, Ning

    Published in Frontiers in oncology (21-06-2022)
    “…This project aimed to assess the significance of vascular endothelial growth factor (VEGF) and p53 for predicting progression-free survival (PFS) in patients…”
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  16. 16

    Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI by Liu, Hong, Jiao, Menglei, Yuan, Yuan, Ouyang, Hanqiang, Liu, Jianfang, Li, Yuan, Wang, Chunjie, Lang, Ning, Qian, Yueliang, Jiang, Liang, Yuan, Huishu, Wang, Xiangdong

    Published in Insights into imaging (10-05-2022)
    “…Background The application of deep learning has allowed significant progress in medical imaging. However, few studies have focused on the diagnosis of benign…”
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  17. 17

    Primary leiomyosarcoma of the spine: an analysis of imaging manifestations and clinicopathological findings by Zhang, Jiahui, Chen, Yongye, Xing, Xiaoying, Wang, Qizheng, Liu, Ke, Zhang, Enlong, Lang, Ning

    Published in Insights into imaging (15-12-2022)
    “…Background Primary leiomyosarcoma of the spine is extremely rare and lacks specific clinical symptoms. This study investigated the imaging manifestations and…”
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  18. 18

    Investigation of high-voltage pulse trigger generator based on photo-conductive semiconductor switch by Chu, Xu, Liu, Jin-Liang, Wang, Lang-Ning, Qiu, Yong-Feng

    Published in AIP advances (01-06-2018)
    “…The trigger to generate high-voltage pulse is one of the most important parts in a pulsed-power system, especially for the conduction characteristics of the…”
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  19. 19

    MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases by Chen, Yongye, Qin, Siyuan, Zhao, Weili, Wang, Qizheng, Liu, Ke, Xin, Peijin, Yuan, Huishu, Zhuang, Hongqing, Lang, Ning

    Published in Insights into imaging (10-10-2023)
    “…Objective This study aimed to extract radiomics features from MRI using machine learning (ML) algorithms and integrate them with clinical features to build…”
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  20. 20

    Broken-fat pad sign: a characteristic radiographic finding to distinguish between knee rheumatoid arthritis and osteoarthritis by Wang, Qizheng, Zhao, Weili, Ji, Xiaoxi, Chen, Yongye, Liu, Ke, Zhu, Yupeng, Yan, Ruixin, Qin, Siyuan, Xin, Peijin, Lang, Ning

    Published in Insights into imaging (05-02-2024)
    “…Objectives Diagnostic imaging plays an important role in the pre-treatment workup of knee osteoarthritis (OA) and rheumatoid arthritis (RA). Herein, we…”
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