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Chengwei Shao

Showing results (81-90 of 97) with videos related to

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Academic Radiology|June 10, 2021
CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score AnalysisJing Li, Fang Liu, Xu Fang, et al.
Abdominal Radiology (New York)|June 30, 2021
Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinomaYun Bian, Yan Fang Liu, Hui Jiang, et al.
Frontiers in Oncology|November 25, 2021
CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal AdenocarcinomaYinghao Meng, Hao Zhang, Qi Li, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 6, 2021
Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8<sup>+</sup> T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance ImagingYun Bian, Cong Liu, Qi Li, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 23, 2021
Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal AdenocarcinomaYinghao Meng, Hao Zhang, Qi Li, et al.
NPJ Digital Medicine|October 13, 2025
Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impactXiaohan Yuan, Chengwei Chen, Zhang Shi, et al.
Frontiers in Oncology|June 7, 2021
XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8<sup>+</sup> T-Cells in Patients With Pancreatic Ductal AdenocarcinomaJing Li, Zhang Shi, Fang Liu, et al.
Academic Radiology|December 19, 2021
Prediction of Tumor-Infiltrating CD20<sup>+</sup> B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRIQi Li, Jieyu Yu, Hao Zhang, et al.
Pancreas|May 2, 2025
A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal AdenocarcinomaWenbin Liu, Jing Li, Xiaohan Yuan, et al.
European Radiology|June 20, 2025
Development and validation of a CT prediction model for precise stratification of renal cystic tumors: a multicenter retrospective study based on the BOSNIAK classificationQinqin Kang, Na Li, Chengwei Chen, et al.
Pageof 10

Showing results (81-90 of 97) with videos related to

Sort By:
Pageof 10
Academic Radiology|June 10, 2021
CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score AnalysisJing Li, Fang Liu, Xu Fang, et al.
Abdominal Radiology (New York)|June 30, 2021
Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinomaYun Bian, Yan Fang Liu, Hui Jiang, et al.
Frontiers in Oncology|November 25, 2021
CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal AdenocarcinomaYinghao Meng, Hao Zhang, Qi Li, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 6, 2021
Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8<sup>+</sup> T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance ImagingYun Bian, Cong Liu, Qi Li, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 23, 2021
Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal AdenocarcinomaYinghao Meng, Hao Zhang, Qi Li, et al.
NPJ Digital Medicine|October 13, 2025
Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impactXiaohan Yuan, Chengwei Chen, Zhang Shi, et al.
Frontiers in Oncology|June 7, 2021
XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8<sup>+</sup> T-Cells in Patients With Pancreatic Ductal AdenocarcinomaJing Li, Zhang Shi, Fang Liu, et al.
Academic Radiology|December 19, 2021
Prediction of Tumor-Infiltrating CD20<sup>+</sup> B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRIQi Li, Jieyu Yu, Hao Zhang, et al.
Pancreas|May 2, 2025
A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal AdenocarcinomaWenbin Liu, Jing Li, Xiaohan Yuan, et al.
European Radiology|June 20, 2025
Development and validation of a CT prediction model for precise stratification of renal cystic tumors: a multicenter retrospective study based on the BOSNIAK classificationQinqin Kang, Na Li, Chengwei Chen, et al.
Pageof 10