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Translational Lung Cancer Research|March 15, 2021
Added benefits of early detection of other diseases on low-dose CT screeningRowena Yip, Artit Jirapatnakul, Minxia Hu, et al.
International Journal of Radiation Oncology, Biology, Physics|March 3, 2024
Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional StudyShuaitong Zhang, Kunwei Li, Yuchen Sun, et al.
Frontiers in Oncology|January 1, 2026
Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergyZijun Huang, Bao Feng, Yehang Chen, et al.
Frontiers in Oncology|March 6, 2026
Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomasYuyao Chen, Lei Liu, Bao Feng, et al.
Frontiers in Oncology|October 13, 2025
A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomasYuyao Chen, Lei Liu, Bao Feng, et al.
European Radiology|June 29, 2020
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomasBao Feng, XiangMeng Chen, YeHang Chen, et al.
European Journal of Radiology|November 29, 2019
Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scansArtit Jirapatnakul, Anthony P Reeves, Sara Lewis, et al.
Cancers|February 11, 2023
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer LearningBao Feng, Xiangmeng Chen, Yehang Chen, et al.
Nano-Micro Letters|September 20, 2024
Advanced Functional Electromagnetic Shielding Materials: A Review Based on Micro-Nano Structure Interface Control of Biomass Cell WallsYang Shi, Mingjun Wu, Shengbo Ge, et al.
Molecular Cancer|June 1, 2020
LINC00173.v1 promotes angiogenesis and progression of lung squamous cell carcinoma by sponging miR-511-5p to regulate VEGFA expressionJiarong Chen, Aibin Liu, Zhihui Wang, et al.
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