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Shunli Liu

Showing results (41-50 of 87) with videos related to

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Abdominal Radiology (New York)|January 14, 2024
Staging liver fibrosis: comparison of radiomics model and fusion model based on multiparametric MRI in patients with chronic liver diseaseLongyang Xiao, Haichen Zhao, Shunli Liu, et al.
Academic Radiology|December 28, 2024
Longitudinal CT Radiomics to Predict Progression-free Survival in Patients with Locally Advanced Gastric Cancer After Neoadjuvant ChemotherapyBo Wang, Xiaomeng Han, Zaixian Zhang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 7, 2021
A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumoursWeikai Sun, Shunli Liu, Jia Guo, et al.
The Journal of Infection|March 10, 2019
Discovery of a potential MCR-1 inhibitor that reverses polymyxin activity against clinical mcr-1-positive EnterobacteriaceaeYonglin Zhou, Jianfeng Wang, Yan Guo, et al.
Frontiers in Oncology|October 5, 2020
Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-small-Cell Lung CancerShihe Liu, Shunli Liu, Chuanyu Zhang, et al.
Current Medical Imaging|May 27, 2024
Integrating Tumor and Nodal Radiomics to Predict the Response to Neoadjuvant Chemotherapy and Recurrence Risk for Locally Advanced Gastric CancerShimei Han, Xiaomeng Han, Yaolin Song, et al.
Optics Express|June 29, 2023
Acousto-optic reconfigurable filter based on vector mode fusion in dispersion-compensating fiberLigang Huang, Shunli Liu, Chaoze Zhang, et al.
Cellular Physiology and Biochemistry : International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology|May 14, 2015
Ginsenoside rh2 inhibits cancer stem-like cells in skin squamous cell carcinomaShunli Liu, Mingrui Chen, Pengcheng Li, et al.
Academic Radiology|August 30, 2024
An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric CancerYaolin Song, Shunli Liu, Xinyu Liu, et al.
European Radiology|August 7, 2019
Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancerShunli Liu, Jian He, Song Liu, et al.
Pageof 9

Showing results (41-50 of 87) with videos related to

Sort By:
Pageof 9
Abdominal Radiology (New York)|January 14, 2024
Staging liver fibrosis: comparison of radiomics model and fusion model based on multiparametric MRI in patients with chronic liver diseaseLongyang Xiao, Haichen Zhao, Shunli Liu, et al.
Academic Radiology|December 28, 2024
Longitudinal CT Radiomics to Predict Progression-free Survival in Patients with Locally Advanced Gastric Cancer After Neoadjuvant ChemotherapyBo Wang, Xiaomeng Han, Zaixian Zhang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 7, 2021
A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumoursWeikai Sun, Shunli Liu, Jia Guo, et al.
The Journal of Infection|March 10, 2019
Discovery of a potential MCR-1 inhibitor that reverses polymyxin activity against clinical mcr-1-positive EnterobacteriaceaeYonglin Zhou, Jianfeng Wang, Yan Guo, et al.
Frontiers in Oncology|October 5, 2020
Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-small-Cell Lung CancerShihe Liu, Shunli Liu, Chuanyu Zhang, et al.
Current Medical Imaging|May 27, 2024
Integrating Tumor and Nodal Radiomics to Predict the Response to Neoadjuvant Chemotherapy and Recurrence Risk for Locally Advanced Gastric CancerShimei Han, Xiaomeng Han, Yaolin Song, et al.
Optics Express|June 29, 2023
Acousto-optic reconfigurable filter based on vector mode fusion in dispersion-compensating fiberLigang Huang, Shunli Liu, Chaoze Zhang, et al.
Cellular Physiology and Biochemistry : International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology|May 14, 2015
Ginsenoside rh2 inhibits cancer stem-like cells in skin squamous cell carcinomaShunli Liu, Mingrui Chen, Pengcheng Li, et al.
Academic Radiology|August 30, 2024
An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric CancerYaolin Song, Shunli Liu, Xinyu Liu, et al.
European Radiology|August 7, 2019
Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancerShunli Liu, Jian He, Song Liu, et al.
Pageof 9