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Academic Radiology|December 12, 2024
Non-invasive Prediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep Learning Features From 18F-FDG PET/CT Based on Interpretable Machine LearningFurui Duan, Minghui Zhang, Chunyan Yang, et al.Radiology and Oncology|December 16, 2025
The utility of 18F-FDG PET/CT in assessing bone marrow involvement and prognosis in newly diagnosed diffuse large B-cell lymphomaChunyan Yang, Hong Liu, Furui Duan, et al.Academic Radiology|August 26, 2025
Multimodal Positron Emission Tomography/Computed Tomography Radiomics Combined with a Clinical Model for Preoperative Prediction of Invasive Pulmonary Adenocarcinoma in Ground-Glass NodulesXimei Wang, Ping Li, Yan Li, et al.BMC Cancer|June 23, 2026
PET/CT Radiomics-based assessment of tumor heterogeneity for predicting immunotherapy outcomes in advanced lung squamous cell carcinoma: a retrospective prognostic modeling studyRui Zhang, Yan Li, Furui Duan, et al.Academic Radiology|January 13, 2026
Non-invasive Prediction of CYP11B2-Defined Subtypes in Primary Aldosteronism Using 18F-Pentixafor PET/CT and Machine LearningYuqi Zhao, Ying Chen, Furui Duan, et al.Current Oncology (Toronto, Ont.)|August 27, 2025
A Multimodal MRI-Based Model for Colorectal Liver Metastasis Prediction: Integrating Radiomics, Deep Learning, and Clinical Features with SHAP InterpretationXin Yan, Furui Duan, Lu Chen, et al.Translational Lung Cancer Research|November 14, 2025
Deep learning radiomics and 18F-FDG PET/CT imaging: mediastinal lymph node characteristics as predictors of metastasis in non-small cell lung cancerFurui Duan, Hanyu Zu, Rui Zhang, et al.Pageof 1