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Nature Communications|March 2, 2025
General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysisSenliang Lu, Yehang Chen, Yuan Chen, 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.
Abdominal Radiology (New York)|January 3, 2025
Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics modelYuan Chen, Xiaohong Ruan, Ximiao Wang, 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.
Nature Communications|January 25, 2024
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrenceBao Feng, Jiangfeng Shi, Liebin Huang, et al.
Frontiers in Oncology|September 20, 2021
Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical ResectionLiebin Huang, Bao Feng, Yueyue Li, et al.
Frontiers in Oncology|January 28, 2022
A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric LymphomaBao Feng, Liebin Huang, Yu Liu, 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.
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.
Frontiers in Oncology|September 25, 2025
FedCMC: a federated learning model with contribution fairness based on multi-center core data extraction for assessing the myometrial invasion status of endometrial cancerYuping Li, Bao Feng, Yuan Chen, et al.
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