Wenjia Shi
Beijing, China
Last Updated: 09/26/2026
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Found 10 publications
Integrating multimodal features to predict the malignancy of pulmonary ground-glass nodules: a multicenter prospective model development and validation study.
Journal: Frontiers in oncology
Published: December 18, 2024
The Value of Topological Radiomics Analysis in Predicting Malignant Risk of Pulmonary Ground-Glass Nodules: A Multi-Center Study.
Journal: Technology in cancer research & treatment
Published: October 04, 2024
Establishing a predictive model for tumor mutation burden status based on CT radiomics and clinical features of non-small cell lung cancer patients.
Journal: Translational lung cancer research
Published: February 06, 2023
Computed tomography-based radiomics improves non-invasive diagnosis of Pneumocystis jirovecii pneumonia in non-HIV patients: a retrospective study.
Journal: BMC pulmonary medicine
Published: February 02, 2023
Correlation between PD-L1 expression and radiomic features in early-stage lung adenocarcinomas manifesting as ground-glass nodules.
Journal: Frontiers in oncology
Published: July 05, 2022
Predicting Ki-67 labeling index level in early-stage lung adenocarcinomas manifesting as ground-glass opacity nodules using intra-nodular and peri-nodular radiomic features.
Journal: Cancer medicine
Published: December 18, 2021
A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules.
Journal: Respiratory research
Published: November 25, 2020
Showing 1-10 of 10
Last Updated: 09/26/2026